Forward citations

Peer-reviewed journal articles that used 1,000 Functional Connectomes data

Aggarwal, Priya & Shrivastava, Parth & Kabra, Tanay & Gupta, Anubha. (2017). "Optshrink LR+ S: accelerated fMRI reconstruction using non-convex optimal singular value shrinkage." Brain Informatics. [link].

Andersen, Kasper Winther & Madsen, Kristoffer H & Siebner, Hartwig Roman & Schmidt, Mikkel N & Morup, Morten & Hansen, Lars Kai. (2014). "Non-parametric Bayesian graph models reveal community structure in resting state fMRI." NeuroImage. [link].

Anderson, Ariana & Cohen, Mark S. (2013). Decreased small-world functional network connectivity and clustering across resting state networks in schizophrenia: an fMRI classification tutorial. [link].

Anderson, Jeffrey S. (2014). Cortical underconnectivity hypothesis in autism: evidence from functional connectivity MRI. [link].

Aurich, Nathassia K & Alves Filho, Jose O & Marques da Silva, Ana M & Franco, Alexandre R. (2015). "Evaluating the reliability of different preprocessing steps to estimate graph theoretical measures in resting state fMRI data." Frontiers in neuroscience. [link].

Bellana, Buddhika & Liu, Zhongxu & Anderson, John AE & Moscovitch, Morris & Grady, Cheryl L. (2016). "Laterality effects in functional connectivity of the angular gyrus during rest and episodic retrieval." Neuropsychologia. [link].

Bellec, Pierre & Benhajali, Yassine & Carbonell, Felix & Dansereau, Christian & Albouy, Genevieve & Pelland, Maxime & Craddock, Cameron & Collignon, Oliver & Doyon, Julien & Stip, Emmanuel & others. (2015). "Impact of the resolution of brain parcels on connectome-wide association studies in fMRI." NeuroImage. [link].

Bhaganagarapu, Kaushik & Jackson, Graeme D & Abbott, David F. (2013). "An automated method for identifying artifact in independent component analysis of resting-state fMRI." Frontiers in human neuroscience. [link].

Bonenberger, Martina & Plener, Paul L & Groschwitz, Rebecca C & Gron, Georg & Abler, Birgit. (2015). "Differential neural processing of unpleasant haptic sensations in somatic and affective partitions of the insula in non-suicidal self-injury (NSSI)." Psychiatry Research: Neuroimaging. [link].

Boubela, Roland N & Huf, Wolfgang & Kalcher, Klaudius & Sladky, Ronald & Filzmoser, Peter & Pezawas, Lukas & Kasper, Siegfried & Windischberger, Christian & Moser, Ewald. (2012). "A highly parallelized framework for computationally intensive MR data analysis." Magnetic resonance materials in physics, biology and medicine. [link].

Bzdok, Danilo & Heeger, Adrian & Langner, Robert & Laird, Angela R & Fox, Peter T & PalomeroGallagher, Nicola & Vogt, Brent A & Zilles, Karl & Eickhoff, Simon B. (2015). "Subspecialization in the human posterior medial cortex." Neuroimage. [link].

Chang, YuTeng & Leahy, Richard M & Pantazis, Dimitrios. (2012). "Modularity-based graph partitioning using conditional expected models." Physical Review E. [link].

Chang, YuTeng & Pantazis, Dimitrios & Leahy, Richard M. (2014). "To cut or not to cut? Assessing the modular structure of brain networks." NeuroImage. [link].

Chen, Guangyu & Zhang, HongYing & Xie, Chunming & Chen, Gang & Zhang, ZhiJun & Teng, GaoJun & Li, ShiJiang. (2013). Modular reorganization of brain resting state networks and its independent validation in Alzheimer's disease patients. [link].

Chen, Xi & Wang, Miao & He, Jiping & Li, Wei. (2017). "Dynamic brain network evolution in normal aging based on computational experiments." Neurocomputing. [link].

Cheng, Hewei & Wu, Hong & Fan, Yong. (2014). "Optimizing affinity measures for parcellating brain structures based on resting state fMRI data: A validation on medial superior frontal cortex." Journal of neuroscience methods. [link].

Chiangshan, R Li & Ide, Jaime S & Zhang, Sheng & Hu, Sien & Chao, Herta H & Zaborszky, Laszlo. (2014). "Resting state functional connectivity of the basal nucleus of Meynert in humans: in comparison to the ventral striatum and the effects of age." Neuroimage. [link].

Choi, Eun Young & Yeo, BT Thomas & Buckner, Randy L. (2012). "The organization of the human striatum estimated by intrinsic functional connectivity." Journal of neurophysiology. [link].

Cox, Christine L & Gotimer, Kristin & Roy, Amy K & Castellanos, F Xavier & Milham, Michael P & Kelly, Clare. (2010). "Your resting brain CAREs about your risky behavior." PloS one. [link].

Cox, Christine L & Uddin, Lucina Q & Di Martino, Adriana & Castellanos, F Xavier & Milham, Michael P & Kelly, Clare. (2012). "The balance between feeling and knowing: affective and cognitive empathy are reflected in the brain's intrinsic functional dynamics." Social cognitive and affective neuroscience. [link].

Craddock, R Cameron & James, G Andrew & Holtzheimer, Paul E & Hu, Xiaoping P & Mayberg, Helen S. (2012). "A whole brain fMRI atlas generated via spatially constrained spectral clustering." Human brain mapping. [link].

Craddock, R Cameron & Milham, Michael P & LaConte, Stephen M. (2013). "Predicting intrinsic brain activity." Neuroimage. [link].

Curtis, Brian J & Williams, Paula G & Jones, Christopher R & Anderson, Jeffrey S. (2016). "Sleep duration and resting fMRI functional connectivity: examination of short sleepers with and without perceived daytime dysfunction." Brain and Behavior. [link].

DATA, CONNECTOME. (2015). "Malaak N. Moussa, Matthew R. Steen, Paul J. Laurienti, Satoru Hayasaka." THE EFFECTS OF SOCIAL DRINKING IN OLDER AGE ON COGNITION AND BRAIN HEALTH. [link].

Dai, Zhengjia & Yan, Chaogan & Li, Kuncheng & Wang, Zhiqun & Wang, Jinhui & Cao, Miao & Lin, Qixiang & Shu, Ni & Xia, Mingrui & Bi, Yanchao & others. (2014). "Identifying and mapping connectivity patterns of brain network hubs in Alzheimer's disease." Cerebral Cortex. [link].

Daley, Mark. (2014). An invitation to the study of brain networks, with some statistical analysis of thresholding techniques. [link].

Dansereau, Christian & Risterucci, Celine & Pich, Emilio Merlo & Arnold, Douglas & Bellec, Pierre. (2013). "A power analysis for multisite studies in resting-state functional connectivity, with an application to clinical trials in Alzheimer's disease." Alzheimer's and Dementia: The Journal of the Alzheimer's Association. [link].

De Domenico, Manlio & Sasai, Shuntaro & Arenas, Alex. (2016). "Mapping Multiplex Hubs in Human Functional Brain Networks." Frontiers in Neuroscience. [link].

Di, Xin & Biswal, Bharat B. (2013). "Modulatory interactions of resting-state brain functional connectivity." PloS one. [link].

Di, Xin & Biswal, Bharat B. (2014). "Identifying the default mode network structure using dynamic causal modeling on resting-state functional magnetic resonance imaging." Neuroimage. [link].

Di, Xin & Biswal, Bharat B. (2014). "Modulatory interactions between the default mode network and task positive networks in resting-state." PeerJ. [link].

Di, Xin & Biswal, Bharat B. (2015). "Dynamic brain functional connectivity modulated by resting-state networks." Brain Structure and Function. [link].

Di, Xin & Kim, Eun H & Chen, Peii & Biswal, Bharat B. (2014). "Lateralized resting-state functional connectivity in the task-positive and task-negative networks." Brain connectivity. [link].

Dobromyslin, Vitaly I & Salat, David H & Fortier, Catherine B & Leritz, Elizabeth C & Beckmann, Christian F & Milberg, William P & McGlinchey, Regina E. (2012). "Distinct functional networks within the cerebellum and their relation to cortical systems assessed with independent component analysis." Neuroimage. [link].

Dronkers, Nina F & others. (2011). "The neural architecture of the language comprehension network: converging evidence from lesion and connectivity analyses." Frontiers in systems neuroscience. [link].

Du, HaiXiao & Liao, XuHong & Lin, QiXiang & Li, GuShu & Chi, YuZe & Liu, Xiang & Yang, HuaZhong & Wang, Yu & Xia, MingRui. (2015). "Test–Retest Reliability of Graph Metrics in High‐resolution Functional Connectomics: A Resting‐State Functional MRI Study." CNS neuroscience and therapeutics. [link].

Duan, Fei & Zhao, Tengda & He, Yong & Shu, Ni. (2015). "Test–retest reliability of diffusion measures in cerebral white matter: A multiband diffusion MRI study." Journal of Magnetic Resonance Imaging. [link].

Durnez, Joke & Moerkerke, Beatrijs & Nichols, Thomas E. (2014). "Post-hoc power estimation for topological inference in fMRI." NeuroImage. [link].

Eklund, Anders & Andersson, Mats & Josephson, Camilla & Johannesson, Magnus & Knutsson, Hans. (2012). "Does parametric fMRI analysis with SPM yield valid results?—An empirical study of 1484 rest datasets." NeuroImage. [link].

Eklund, Anders & Dufort, Paul & Villani, Mattias & LaConte, Stephen. (2014). BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs. [link].

Eklund, Anders & Villani, Mattias & LaConte, Stephen M. (2013). "Harnessing graphics processing units for improved neuroimaging statistics." Cognitive, Affective, and Behavioral Neuroscience. [link].

Eloyan, Ani & Li, Shanshan & Muschelli, John & Pekar, Jim J & Mostofsky, Stewart H & Caffo, Brian S. (2014). "Analytic programming with fMRI data: A quick-start guide for statisticians using R." PloS one. [link].

Fan, Yang & Nickerson, Lisa D & Li, Huanjie & Ma, Yajun & Lyu, Bingjiang & Miao, Xinyuan & Zhuo, Yan & Ge, Jianqiao & Zou, Qihong & Gao, JiaHong. (2015). "Functional connectivity-based parcellation of the thalamus: an unsupervised clustering method and its validity investigation." Brain connectivity. [link].

Ferguson, Michael A & Anderson, Jeffrey S. (2012). "Dynamical stability of intrinsic connectivity networks." Neuroimage. [link].

Forzani, Liliana & Fraiman, Ricardo & Llop, Pamela. (2013). "Density estimation for spatial-temporal models." Test. [link].

Ganz, Melanie & Greve, Douglas N & Fischl, Bruce & Konukoglu, Ender & Alzheimers Disease Neuroimaging Initiative & others. (2015). "Relevant feature set estimation with a knock-out strategy and random forests." NeuroImage. [link].

Gastner, Michael T & Odor, Geza. (2016). "The topology of large Open Connectome networks for the human brain." Scientific reports. [link].

Ge, Bao & Makkie, Milad & Wang, Jin & Zhao, Shijie & Jiang, Xi & Li, Xiang & Lv, Jinglei & Zhang, Shu & Zhang, Wei & Han, Junwei & others. (2016). "Signal sampling for efficient sparse representation of resting state FMRI data." Brain imaging and behavior. [link].

Ge, Ruiyang & Wang, Yubao & Zhang, Jipeng & Yao, Li & Zhang, Hang & Long, Zhiying. (2016). "Improved FastICA algorithm in fMRI data analysis using the sparsity property of the sources." Journal of neuroscience methods. [link].

Ge, Ruiyang & Yao, Li & Zhang, Hang & Long, Zhiying. (2015). "A two-step super-Gaussian independent component analysis approach for fMRI data." NeuroImage. [link].

Gorgolewski, Krzysztof J & Mendes, Natacha & Wilfling, Domenica & Wladimirow, Elisabeth & Gauthier, Claudine J & Bonnen, Tyler & Ruby, Florence JM & Trampel, Robert & Bazin, PierreLouis & Cozatl, Roberto & others. (2015). "A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures." Scientific data. [link].

Goulden, Nia & Khusnulina, Aygul & Davis, Nicholas J & Bracewell, Robert M & Bokde, Arun L & McNulty, Jonathan P & Mullins, Paul G. (2014). "The salience network is responsible for switching between the default mode network and the central executive network: replication from DCM." Neuroimage. [link].

Gultepe, Eren & He, Bin. (2013). "A linear/nonlinear characterization of resting state brain networks in FMRI time series." Brain topography. [link].

Hallquist, Michael N & Hwang, Kai & Luna, Beatriz. (2013). "The nuisance of nuisance regression: spectral misspecification in a common approach to resting-state fMRI preprocessing reintroduces noise and obscures functional …." Neuroimage. [link].

Hasan, Khader M & Mwangi, Benson & Cao, Bo & Keser, Zafer & Tustison, Nicholas J & Kochunov, Peter & Frye, Richard E & Savatic, Mirjana & Soares, Jair. (2015). "Entorhinal Cortex Thickness across the Human Lifespan." Journal of Neuroimaging. [link].

Hayasaka, Satoru. (2016). "Explosive percolation in thresholded networks." Physica A: Statistical Mechanics and its Applications. [link].

Herron, Timothy J & Kang, Xiaojian & Woods, David L. (2012). "Automated measurement of the human corpus callosum using MRI." Frontiers in neuroinformatics. [link].

Hsieh, TsungHao & Sun, MingJian & Liang, ShengFu. (2014). Diagnosis of Schizophrenia patients based on brain network complexity analysis of resting-state fMRI. [link].

Hsu, Chun Liang & Voss, Michelle W & Handy, Todd C & Davis, Jennifer C & Nagamatsu, Lindsay S & Chan, Alison & Bolandzadeh, Niousha & LiuAmbrose, Teresa. (2014). "Disruptions in brain networks of older fallers are associated with subsequent cognitive decline: a 12-month prospective exploratory study." PloS one. [link].

Igelstrom, Kajsa M & Webb, Taylor W & Graziano, Michael SA. (2015). "Neural processes in the human temporoparietal cortex separated by localized independent component analysis." Journal of Neuroscience. [link].

Iwabuchi, Sarina J & Palaniyappan, Lena. (2017). "Abnormalities in the effective connectivity of visuothalamic circuitry in schizophrenia." Psychological Medicine. [link].

Jaspers, Ellen & Balsters, Joshua H & Kassraian Fard, Pegah & Mantini, Dante & Wenderoth, Nicole. (2016). "Corticostriatal connectivity fingerprints: Probability maps based on resting‐state functional connectivity." Human Brain Mapping. [link].

Jiang, Di & Du, Yuhui & Cheng, Hewei & Jiang, Tianzi & Fan, Yong. (2013). "Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns." Neuroimage. [link].

Jiang, Ying & Oathes, Desmond & Hush, Julia & Darnall, Beth & Charvat, Mylea & Mackey, Sean & Etkin, Amit. (2016). "Perturbed connectivity of the amygdala and its subregions with the central executive and default mode networks in chronic pain." Pain. [link].

Jo, Hang Joon & Gotts, Stephen J & Reynolds, Richard C & Bandettini, Peter A & Martin, Alex & Cox, Robert W & Saad, Ziad S. (2013). "Effective preprocessing procedures virtually eliminate distance-dependent motion artifacts in resting state FMRI." Journal of applied mathematics. [link].

Kahn, I & Shohamy, D. (2013). "Intrinsic connectivity between the hippocampus, nucleus accumbens, and ventral tegmental area in humans." Hippocampus. [link].

Kalcher, Klaudius & Boubela, Roland N & Huf, Wolfgang & Bartova, Lucie & Kronnerwetter, Claudia & Derntl, Birgit & Pezawas, Lukas & Filzmoser, Peter & Nasel, Christian & Moser, Ewald. (2014). "The spectral diversity of resting-state fluctuations in the human brain." PloS one. [link].

Kalcher, Klaudius & Huf, Wolfgang & Boubela, Roland Norbert & Filzmoser, Peter & Pezawas, Lukas & Biswal, Bharat B & Kasper, Siegfried & Moser, Ewald & Windischberger, Christian. (2012). "Fully exploratory network independent component analysis of the 1000 functional connectomes database." Frontiers in human neuroscience. [link].

Kang, Jin & Wang, Liang & Yan, Chaogan & Wang, Jinhui & Liang, Xia & He, Yong. (2011). "Characterizing dynamic functional connectivity in the resting brain using variable parameter regression and Kalman filtering approaches." Neuroimage. [link].

Kann, Sarah & Zhang, Sheng & Manza, Peter & Leung, HoiChung & Li, ChiangShan R. (2016). "Hemispheric Lateralization of Resting-State Functional Connectivity of the Anterior Insula: Association with Age, Gender, and a Novelty-Seeking Trait." Brain Connectivity. [link].

Kelly, Clare & Toro, Roberto & Di Martino, Adriana & Cox, Christine L & Bellec, Pierre & Castellanos, F Xavier & Milham, Michael P. (2012). "A convergent functional architecture of the insula emerges across imaging modalities." Neuroimage. [link].

Kelly, Clare & Zuo, XiNian & Gotimer, Kristin & Cox, Christine L & Lynch, Lauren & Brock, Dylan & Imperati, Davide & Garavan, Hugh & Rotrosen, John & Castellanos, F Xavier & others. (2011). "Reduced interhemispheric resting state functional connectivity in cocaine addiction." Biological psychiatry. [link].

Kim, Junghoe & Calhoun, Vince D & Shim, Eunsoo & Lee, JongHwan. (2016). "Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain …." NeuroImage. [link].

Kipping, Judy A & Grodd, Wolfgang & Kumar, Vinod & Taubert, Marco & Villringer, Arno & Margulies, Daniel S. (2013). "Overlapping and parallel cerebello-cerebral networks contributing to sensorimotor control: an intrinsic functional connectivity study." Neuroimage. [link].

Kochiyama, Takanori & Tanabe, Hiroki C & Ogihara, Naomichi. (2014). Reconstruction of the brain from skull fossils using computational anatomy. [link].

Kogler, Lydia & Muller, Veronika I & Chang, Amy & Eickhoff, Simon B & Fox, Peter T & Gur, Ruben C & Derntl, Birgit. (2015). "Psychosocial versus physiological stress—Meta-analyses on deactivations and activations of the neural correlates of stress reactions." Neuroimage. [link].

Kong, Xiangzhen. (2014). "Association between in-scanner head motion with cerebral white matter microstructure: a multiband diffusion-weighted MRI study." PeerJ. [link].

Lehmann, Manja & Ghosh, Pia M & Madison, Cindee & Laforce, Robert & CorbettaRastelli, Chiara & Weiner, Michael W & Greicius, Michael D & Seeley, William W & GornoTempini, Maria L & Rosen, Howard J & others. (2013). "Diverging patterns of amyloid deposition and hypometabolism in clinical variants of probable Alzheimer's disease." Brain. [link].

Li, Kaiming & Jiang, Jing & Qiu, Lihua & Yang, Xun & Huang, Xiaoqi & Lui, Su & Gong, Qiyong. (2015). "A multimodal MRI dataset of professional chess players." Scientific data. [link].

Li, Shanshan & Chen, Shaojie & Yue, Chen & Caffo, Brian. (2016). "A Parcellation Based Nonparametric Algorithm for Independent Component Analysis with Application to fMRI Data." Frontiers in neuroscience. [link].

Li, Wei & Wang, Miao & Li, Yapeng & Huang, Yue & Chen, Xi. (2016). "A novel brain network construction method for exploring age-related functional reorganization." Computational intelligence and neuroscience. [link].

Li, Wenjing & Tol, MarieJose & Li, Meng & Miao, Wen & Jiao, Yonghong & Heinze, HansJochen & Bogerts, Bernhard & He, Huiguang & Walter, Martin. (2014). "Regional specificity of sex effects on subcortical volumes across the lifespan in healthy aging." Human brain mapping. [link].

Li, Xuan & Hu, Zilan & Wang, Haixian. (2016). Overlapping community structure detection of brain functional network using non-negative matrix factorization. [link].

Li, Xuan & Wang, Haixian. (2015). "Identification of functional networks in resting state fMRI data using adaptive sparse representation and affinity propagation clustering." Frontiers in neuroscience. [link].

Li, Zhengjun & Zang, YuFeng & Ding, Jianping & Wang, Ze. (2016). "Assessing the mean strength and variations of the time-to-time fluctuations of resting-state brain activity." Medical and Biological Engineering and Computing. [link].

Liang, Xia & Wang, Jinhui & Yan, Chaogan & Shu, Ni & Xu, Ke & Gong, Gaolang & He, Yong. (2012). "Effects of different correlation metrics and preprocessing factors on small-world brain functional networks: a resting-state functional MRI study." PloS one. [link].

Liao, Wei & Zhang, Zhiqiang & Mantini, Dante & Xu, Qiang & Wang, Zhengge & Chen, Guanghui & Jiao, Qing & Zang, YuFeng & Lu, Guangming. (2013). "Relationship between large-scale functional and structural covariance networks in idiopathic generalized epilepsy." Brain connectivity. [link].

Liao, XuHong & Xia, MingRui & Xu, Ting & Dai, ZhengJia & Cao, XiaoYan & Niu, HaiJing & Zuo, XiNian & Zang, YuFeng & He, Yong. (2013). "Functional brain hubs and their test–retest reliability: a multiband resting-state functional MRI study." Neuroimage. [link].

Lin, Pan & Sun, Jubao & Yu, Gang & Wu, Ying & Yang, Yong & Liang, Meilin & Liu, Xin. (2014). "Global and local brain network reorganization in attention-deficit/hyperactivity disorder." Brain imaging and behavior. [link].

Liu, Cirong & Tian, Xiaoguang. (2013). "A data-driven method to reduce the impact of region size on degree metrics in voxel-wise functional brain networks." Frontiers in neurology. [link].

Liu, Dongqiang & Dong, Zhangye & Zuo, Xinian & Wang, Jue & Zang, Yufeng. (2013). "Eyes-open/eyes-closed dataset sharing for reproducibility evaluation of resting state fMRI data analysis methods." Neuroinformatics. [link].

Liu, Xiao & Chang, Catie & Duyn, Jeff H. (2013). "Decomposition of spontaneous brain activity into distinct fMRI co-activation patterns." Frontiers in systems neuroscience. [link].

Liu, Xiaozheng & Yuan, Zhenming & Guo, Zhongwei & Xu, Dongrong. (2015). "A localized Richardson–Lucy algorithm for fiber orientation estimation in high angular resolution diffusion imaging." Medical physics. [link].

Lopes, Renaud & Moeller, Friederike & Besson, Pierre & Ogez, Franccois & Szurhaj, William & Leclerc, Xavier & Siniatchkin, Michael & Chipaux, Mathilde & Derambure, Philippe & Tyvaert, Louise. (2014). "Study on the relationships between intrinsic functional connectivity of the default mode network and transient epileptic activity." Frontiers in neurology. [link].

Luo, Yungang & Liu, Ping & Shi, Lin & Luo, Yishan & Yi, Lei & Li, Ang & Qin, Jing & Heng, PhengAnn & Wang, Defeng. (2015). "Accelerating Neuroimage Registration through Parallel Computation of Similarity Metric." PloS one. [link].

Lyzinski, Vince & Fishkind, Donniell E & Priebe, Carey E. (2014). "Seeded graph matching for correlated Erdös-Rényi graphs." Journal of Machine Learning Research. [link].

Makkie, Milad & Zhao, Shijie & Jiang, Xi & Lv, Jinglei & Zhao, Yu & Ge, Bao & Li, Xiang & Han, Junwei & Liu, Tianming. (2015). "HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI)." Brain informatics. [link].

Malherbe, Caroline & Messe, Arnaud & Bardinet, Eric & PelegriniIssac, Melanie & Perlbarg, Vincent & Marrelec, Guillaume & Worbe, Yulia & Yelnik, Jerome & Lehericy, Stephane & Benali, Habib. (2014). "Combining spatial independent component analysis with regression to identify the subcortical components of resting-state FMRI functional networks." Brain connectivity. [link].

Manza, Peter & Zhang, Sheng & Hu, Sien & Chao, Herta H & Leung, HoiChung & Chiangshan, R Li. (2015). "The effects of age on resting state functional connectivity of the basal ganglia from young to middle adulthood." Neuroimage. [link].

Mayhugh, Rhiannon E & Moussa, Malaak N & Simpson, Sean L & Lyday, Robert G & Burdette, Jonathan H & Porrino, Linda J & Laurienti, Paul J. (2016). "Moderate-heavy alcohol consumption lifestyle in older adults is associated with altered central executive network community structure during cognitive task." PLoS one. [link].

McNorgan, Chris & Joanisse, Marc F. (2014). "A connectionist approach to mapping the human connectome permits simulations of neural activity within an artificial brain." Brain connectivity. [link].

Meier, Timothy B & Desphande, Alok S & Vergun, Svyatoslav & Nair, Veena A & Song, Jie & Biswal, Bharat B & Meyerand, Mary E & Birn, Rasmus M & Prabhakaran, Vivek. (2012). "Support vector machine classification and characterization of age-related reorganization of functional brain networks." Neuroimage. [link].

Meszlenyi, Regina J & Hermann, Petra & Buza, Krisztian & Gal, Viktor & Vidnyanszky, Zoltan. (2017). "Resting state fMRI functional connectivity analysis using Dynamic Time Warping." Frontiers in Neuroscience. [link].

Milham, Michael Peter & Kelly, Clare & Mennes, Maarten & Di Martino, Adriana & Castellanos, Francisco Xavier. (2011). "Discovery science of human brain function." Neuroscience Research.

Moussa, Malaak N & Steen, Matthew R & Laurienti, Paul J & Hayasaka, Satoru. (2012). "Consistency of network modules in resting-state FMRI connectome data." PloS one. [link].

Muller, Veronika I & Langner, Robert & Cieslik, Edna C & Rottschy, Claudia & Eickhoff, Simon B. (2015). "Interindividual differences in cognitive flexibility: influence of gray matter volume, functional connectivity and trait impulsivity." Brain Structure and Function. [link].

Ni, Huangjing & Huang, Xiaolin & Ning, Xinbao & Huo, Chengyu & Liu, Tiebing & Ben, De. (2014). "Multifractal analysis of resting state fMRI series in default mode network: age and gender effects." Chinese science bulletin. [link].

Nomi, Jason S & Farrant, Kristafor & Damaraju, Eswar & Rachakonda, Srinivas & Calhoun, Vince D & Uddin, Lucina Q. (2016). "Dynamic functional network connectivity reveals unique and overlapping profiles of insula subdivisions." Human brain mapping. [link].

Nooner, Kate B & Mennes, Maarten & Brown, Shaquanna & Castellanos, F Xavier & Leventhal, Bennett & Milham, Michael P & Colcombe, Stanley J. (2013). "Relationship of Trauma Symptoms to Amygdala‐Based Functional Brain Changes in Adolescents." Journal of traumatic stress. [link].

Onofrey, John A & Staib, Lawrence H & Papademetris, Xenophon. (2013). Semi-supervised learning of nonrigid deformations for image registration. [link].

Orban, Pierre & Madjar, Cecile & Savard, Melissa & Dansereau, Christian & Tam, Angela & Das, Samir & Evans, Alan C & RosaNeto, Pedro & Breitner, John CS & Bellec, Pierre & others. (2015). "Test-retest resting-state fMRI in healthy elderly persons with a family history of Alzheimer's disease." Scientific data. [link].

Otten, Marc L & Mikell, Charles B & Youngerman, Brett E & Liston, Conor & Sisti, Michael B & Bruce, Jeffrey N & Small, Scott A & McKhann, Guy M. (2012). "Motor deficits correlate with resting state motor network connectivity in patients with brain tumours." Brain. [link].

OvadiaCaro, Smadar & Nir, Yuval & Soddu, Andrea & Ramot, Michal & Hesselmann, Guido & Vanhaudenhuyse, Audrey & Dinstein, Ilan & Tshibanda, JeanFlory L & Boly, Melanie & Harel, Michal & others. (2012). "Reduction in inter-hemispheric connectivity in disorders of consciousness." PLoS One. [link].

Pamplona, Gustavo SP & Neto, Gerson S Santos & Rosset, Sara RE & Rogers, Baxter P & Salmon, Carlos EG. (2015). "Analyzing the association between functional connectivity of the brain and intellectual performance." Frontiers in human neuroscience. [link].

Parks, Emily L & Madden, David J. (2013). "Brain connectivity and visual attention." Brain connectivity. [link].

Patriat, Remi & Molloy, Erin K & Birn, Rasmus M. (2015). "Using edge voxel information to improve motion regression for rs-fMRI connectivity studies." Brain connectivity. [link].

Pearce, Eiluned & Bridge, Holly. (2013). "Is orbital volume associated with eyeball and visual cortex volume in humans?." Annals of human biology. [link].

Pendl, Suzanne L & Salzwedel, Andrew P & Goldman, Barbara D & Barrett, Lisa F & Lin, Weili & Gilmore, John H & Gao, Wei. (2017). "Emergence of a hierarchical brain during infancy reflected by stepwise functional connectivity." Human Brain Mapping. [link].

Pendse, Gautam V & Borsook, David & Becerra, Lino. (2011). "A simple and objective method for reproducible resting state network (RSN) detection in fMRI." PLoS One. [link].

Pereira, Joana B & Junque, Carme & BartresFaz, David & Marti, Maria J & SalaLlonch, Roser & Compta, Yarko & Falcon, Carles & Vendrell, Pere & PascualLeone, Alvaro & VallsSole, Josep & others. (2013). "Modulation of verbal fluency networks by transcranial direct current stimulation (tDCS) in Parkinson's disease." Brain stimulation. [link].

Peterson, Andrew C & Zhang, Sheng & Hu, Sien & Chao, Herta H & Li, Chiangshan R. (2017). "The Effects of Age, from Young to Middle Adulthood, and Gender on Resting State Functional Connectivity of the Dopaminergic Midbrain." Frontiers in Human Neuroscience. [link].

Poeppl, Timm B & Eickhoff, Simon B & Fox, Peter T & Laird, Angela R & Rupprecht, Rainer & Langguth, Berthold & Bzdok, Danilo. (2015). "Connectivity and functional profiling of abnormal brain structures in pedophilia." Human brain mapping. [link].

Power, Jonathan D & Barnes, Kelly Anne & Snyder, Abraham Z & Schlaggar, Bradley L & Petersen, Steven E. (2013). "Steps toward optimizing motion artifact removal in functional connectivity MRI; a reply to Carp." Neuroimage. [link].

Qian, Long & Zhang, Yi & Zheng, Li & Shang, Yuqing & Gao, JiaHong & Liu, Yijun. (2015). "Frequency dependent topological patterns of resting-state brain networks." PloS one. [link].

Qing, Zhao & Dong, Zhangye & Li, Sufang & Zang, Yufeng & Liu, Dongqiang. (2015). "Global signal regression has complex effects on regional homogeneity of resting state fMRI signal." Magnetic resonance imaging. [link].

Ramesh, MG & Rai, Kiranmai S. (2013). Region-wise gray matter volume alterations in brain of adolescents with attention deficit hyperactive disorder: A voxel based morphometric analysis. [link].

Reiss, Philip T & Mennes, Maarten & Petkova, Eva & Huang, Lei & Hoptman, Matthew J & Biswal, Bharat B & Colcombe, Stanley J & Zuo, XiNian & Milham, Michael P. (2011). "Extracting information from functional connectivity maps via function-on-scalar regression." NeuroImage. [link].

Rohr, Christiane S & OkonSinger, Hadas & Craddock, R Cameron & Villringer, Arno & Margulies, Daniel S. (2013). "Affect and the brain's functional organization: a resting-state connectivity approach." PloS one. [link].

Rojas, Gonzalo M & Galvez, Marcelo & Vega Potler, Natan & Craddock, R Cameron & Margulies, Daniel S & Castellanos, F Xavier & Milham, Michael P. (2014). "Stereoscopic three-dimensional visualization applied to multimodal brain images: clinical applications and a functional connectivity atlas." Frontiers in neuroscience. [link].

Rubinov, Mikail & Sporns, Olaf. (2011). "Weight-conserving characterization of complex functional brain networks." Neuroimage. [link].

Saad, Ziad S & Reynolds, Richard C & Jo, Hang Joon & Gotts, Stephen J & Chen, Gang & Martin, Alex & Cox, Robert W. (2013). "Correcting brain-wide correlation differences in resting-state FMRI." Brain connectivity. [link].

Saenger, Victor M & Barrios, Fernando A & MartinezGudino, Maria L & Alcauter, Sarael. (2012). "Hemispheric asymmetries of functional connectivity and grey matter volume in the default mode network." Neuropsychologia. [link].

Sasai, Shuntaro & Homae, Fumitaka & Watanabe, Hama & Sasaki, Akihiro T & Tanabe, Hiroki C & Sadato, Norihiro & Taga, Gentaro. (2014). "Frequency-specific network topologies in the resting human brain." Frontiers in human neuroscience. [link].

Scarpazza, Cristina & Nichols, Thomas E & Seramondi, Donato & Maumet, Camille & Sartori, Giuseppe & Mechelli, Andrea. (2016). "When the Single Matters more than the Group (II): Addressing the Problem of High False Positive Rates in Single Case Voxel Based Morphometry Using Non- …." Frontiers in neuroscience. [link].

Scarpazza, Cristina & Sartori, G & De Simone, MS & Mechelli, Andrea. (2013). "When the single matters more than the group: very high false positive rates in single case voxel based morphometry." Neuroimage. [link].

Scarpazza, Cristina & Tognin, Stefania & Frisciata, Silvia & Sartori, Giuseppe & Mechelli, Andrea. (2015). "False positive rates in Voxel-based Morphometry studies of the human brain: Should we be worried?." Neuroscience and Biobehavioral Reviews. [link].

Sedeno, L & Couto, B & Melloni, M & CanalesJohnson, A & Yoris, A & others. (2014). "How Do You Feel when You Can't Feel Your Body." Interoception, Functional. [link].

Sedeno, Lucas & Couto, Blas & Melloni, Margherita & CanalesJohnson, Andres & Yoris, Adrian & Baez, Sandra & Esteves, Sol & Velasquez, Marcela & Barttfeld, Pablo & Sigman, Mariano & others. (2014). "How do you feel when you can't feel your body? Interoception, functional connectivity and emotional processing in depersonalization-derealization disorder." PLoS One. [link].

Shirer, William R & Jiang, Heidi & Price, Collin M & Ng, Bernard & Greicius, Michael D. (2015). "Optimization of rs-fMRI pre-processing for enhanced signal-noise separation, test-retest reliability, and group discrimination." NeuroImage. [link].

Simpson, Sean L & Lyday, Robert G & Hayasaka, Satoru & Marsh, Anthony P & Laurienti, Paul J. (2013). "A permutation testing framework to compare groups of brain networks." Frontiers in computational neuroscience. [link].

Sokunbi, Moses O. (2015). "Sample entropy reveals high discriminative power between young and elderly adults in short fMRI data sets." Information-based methods for neuroimaging: analyzing structure, function and dynamics. [link].

Sokunbi, Moses O & Cameron, George G & Ahearn, Trevor S & Murray, Alison D & Staff, Roger T. (2015). "Fuzzy approximate entropy analysis of resting state fMRI signal complexity across the adult life span." Medical engineering and physics. [link].

Song, Jie & Desphande, Alok S & Meier, Timothy B & Tudorascu, Dana L & Vergun, Svyatoslav & Nair, Veena A & Biswal, Bharat B & Meyerand, Mary E & Birn, Rasmus M & Bellec, Pierre & others. (2012). "Age-related differences in test-retest reliability in resting-state brain functional connectivity." PLoS One. [link].

Song, Xiaopeng & Zhang, Yi & Liu, Yijun. (2014). "Frequency specificity of regional homogeneity in the resting-state human brain." PloS one. [link].

Song, Xiaopeng & Zhou, Shuqin & Zhang, Yi & Liu, Yijun & Zhu, Huaiqiu & Gao, JiaHong. (2015). "Frequency-dependent modulation of regional synchrony in the human brain by eyes open and eyes closed resting-states." PloS one. [link].

Su, Longfei & Wang, Lubin & Chen, Fanglin & Shen, Hui & Li, Baojuan & Hu, Dewen. (2012). "Sparse representation of brain aging: extracting covariance patterns from structural MRI." PloS one. [link].

Su, Longfei & Wang, Lubin & Shen, Hui & Hu, Dewen. (2011). "Age-related Classification and Prediction Based on MRI: A Sparse Representation Method." Procedia Environmental Sciences. [link].

Sun, Li & Cao, Qingjiu & Long, Xiangyu & Sui, Manqiu & Cao, Xiaohua & Zhu, Chaozhe & Zuo, Xinian & An, Li & Song, Yan & Zang, Yufeng & others. (2012). "Abnormal functional connectivity between the anterior cingulate and the default mode network in drug-naive boys with attention deficit hyperactivity disorder." Psychiatry Research: Neuroimaging. [link].

Sundermann, Benedikt & Pfleiderer, Bettina. (2012). "Functional connectivity profile of the human inferior frontal junction: involvement in a cognitive control network." BMC neuroscience. [link].

Supekar, Kaustubh & Uddin, Lucina Q & Khouzam, Amirah & Phillips, Jennifer & Gaillard, William D & Kenworthy, Lauren E & Yerys, Benjamin E & Vaidya, Chandan J & Menon, Vinod. (2013). "Brain hyperconnectivity in children with autism and its links to social deficits." Cell reports. [link].

Sutterer, Matthew J & Bruss, Joel & Boes, Aaron D & Voss, Michelle W & Bechara, Antoine & Tranel, Daniel. (2016). "Canceled connections: Lesion-derived network mapping helps explain differences in performance on a complex decision-making task." Cortex. [link].

Tagliazucchi, Enzo & Siniatchkin, Michael & Laufs, Helmut & Chialvo, Dante R. (2016). "The voxel-wise functional connectome can be efficiently derived from co-activations in a sparse spatio-temporal point-process." Frontiers in Neuroscience. [link].

Tang, Tianyu & Jiao, Yun & Wang, Xunheng & Lu, Zuhong. (2013). "Gender versus brain size effects on subcortical gray matter volumes in the human brain." Neuroscience letters. [link].

Tang, Zhenyu & Jiang, Di & Li, Hongming & Fan, Yong. (2013). Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration. [link].

Taylor, Paul A & Gohel, Suril & Di, Xin & Walter, Martin & Biswal, Bharat B. (2012). "Functional covariance networks: obtaining resting-state networks from intersubject variability." Brain connectivity. [link].

Thompson, William H & Fransson, Peter. (2015). "The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI." Frontiers in human neuroscience. [link].

Thompson, William Hedley & Fransson, Peter. (2016). "On stabilizing the variance of dynamic functional brain connectivity time series." Brain Connectivity. [link].

Tian, Lixia & Wang, Jinhui & Yan, Chaogan & He, Yong. (2011). "Hemisphere-and gender-related differences in small-world brain networks: a resting-state functional MRI study." Neuroimage. [link].

Tian, Xiaoguang & Liu, Cirong & Jiang, Tianzi & Rizak, Joshua & Ma, Yuanye & Hu, Xintian. (2013). "Feature-reduction and semi-simulated data in functional connectivity-based cortical parcellation." Neuroscience bulletin. [link].

TieBing, Liu & WenPo, Yao & XinBao, Ning & HuangJing, Ni & Jun, Wang. (2013). The base scale entropy analysis of fMRI. [link].

Tik, M & Hoffmann, A & Sladky, R & Tomova, L & Hummer, A & de Lara, L Navarro & Biswal, B & Bukowski, H & Pripfl, J & Lamm, C & others. (2017). "P107 Assessing effectiveness and specificity of DLPFC rTMS using an unbiased resting-state approach." Clinical Neurophysiology. [link].

Tomasi, Dardo & Volkow, Nora D. (2011). "Association between functional connectivity hubs and brain networks." Cerebral cortex. [link].

Tomasi, Dardo & Volkow, Nora D. (2011). "Functional connectivity hubs in the human brain." Neuroimage. [link].

Tomasi, Dardo & Volkow, Nora D. (2012). "Aging and functional brain networks." Molecular psychiatry. [link].

Tomasi, Dardo & Volkow, Nora D. (2012). "Gender differences in brain functional connectivity density." Human brain mapping. [link].

Tomasi, Dardo & Volkow, Nora D. (2012). "Laterality patterns of brain functional connectivity: gender effects." Cerebral Cortex. [link].

Tomasi, Dardo & Volkow, Nora D. (2012). "Resting functional connectivity of language networks: characterization and reproducibility." Molecular psychiatry. [link].

Tomasi, Dardo & Volkow, Nora D. (2013). "Striatocortical pathway dysfunction in addiction and obesity: differences and similarities." Critical reviews in biochemistry and molecular biology. [link].

Trpevski, Igor & Dimitrova, Tamara & Boshkovski, Tommy & Stikov, Nikola & Kocarev, Ljupcho. (2016). "Graphlet characteristics in directed networks." Scientific Reports. [link].

Wang, Hao & Jin, Xiaoqing & Zhang, Ye & Wang, Jinhui. (2016). "Single‐subject morphological brain networks: connectivity mapping, topological characterization and test–retest reliability." Brain and behavior. [link].

Wang, HsiaoLan Sharon & Rau, ChiLun & Li, YuMei & Chen, YaPing & Yu, Rongjun. (2015). "Disrupted thalamic resting-state functional networks in schizophrenia." Frontiers in behavioral neuroscience. [link].

Wang, Jing & Hu, Zilan & Wang, Haixian. (2016). Parcellating whole brain for individuals by simple linear iterative clustering. [link].

Wang, Jinhui & Wang, Xindi & Xia, Mingrui & Liao, Xuhong & Evans, Alan & He, Yong. (2015). "GRETNA: a graph theoretical network analysis toolbox for imaging connectomics." Frontiers in human neuroscience. [link].

Wang, Lubin & Shen, Hui & Tang, Feng & Zang, Yufeng & Hu, Dewen. (2012). "Combined structural and resting-state functional MRI analysis of sexual dimorphism in the young adult human brain: an MVPA approach." Neuroimage. [link].

Wang, Lubin & Su, Longfei & Shen, Hui & Hu, Dewen. (2012). "Decoding lifespan changes of the human brain using resting-state functional connectivity MRI." PloS one. [link].

Wang, Lubin & Zou, Feng & Shao, Yongcong & Ye, Enmao & Jin, Xiao & Tan, Shuwen & Hu, Dewen & Yang, Zheng. (2014). "Disruptive changes of cerebellar functional connectivity with the default mode network in schizophrenia." Schizophrenia research. [link].

Wang, Rong & Wang, Li & Yang, Yong & Li, Jiajia & Wu, Ying & Lin, Pan. (2016). "Random matrix theory for analyzing the brain functional network in attention deficit hyperactivity disorder." Physical Review E. [link].

Wang, Rong & Zhang, ZhenZhen & Ma, Jun & Yang, Yong & Lin, Pan & Wu, Ying. (2015). "Spectral properties of the temporal evolution of brain network structure." Chaos: An Interdisciplinary Journal of Nonlinear Science. [link].

Wang, X & Jiao, Y & Tang, T & Wang, H & Lu, Z. (2013). "Investigating univariate temporal patterns for intrinsic connectivity networks based on complexity and low-frequency oscillation: A test–retest reliability study." Neuroscience. [link].

Wang, XunHeng & Li, Lihua & Xu, Tao & Ding, Zhongxiang. (2015). "Investigating the temporal patterns within and between intrinsic connectivity networks under eyes-open and eyes-closed resting states: a dynamical functional …." PloS one. [link].

Wang, Yu & Du, Haixiao & Xia, Mingrui & Ren, Ling & Xu, Mo & Xie, Teng & Gong, Gaolang & Xu, Ningyi & Yang, Huazhong & He, Yong. (2013). "A hybrid CPU-GPU accelerated framework for fast mapping of high-resolution human brain connectome." PloS one. [link].

Wang, Ze & Li, Yin & Childress, Anna Rose & Detre, John A. (2014). "Brain entropy mapping using fMRI." Plos one. [link].

Weaver, KE & Chaovalitwongse, WA & Novotny, EJ & Poliakov, A & Grabowski, TG & Ojemann, JG. (2013). Local functional connectivity as a pre-surgical tool for seizure focus identification in non-lesion, focal epilepsy. [link].

Wei, Yongbin & Liao, Xuhong & Yan, Chaogan & He, Yong & Xia, Mingrui. (2017). "Identifying topological motif patterns of human brain functional networks." Human Brain Mapping. [link].

Welvaert, Marijke & Rosseel, Yves. (2013). "On the definition of signal-to-noise ratio and contrast-to-noise ratio for fMRI data." PloS one. [link].

Whitlow, Christopher T & Casanova, Ramon & Maldjian, Joseph A. (2011). "Effect of resting-state functional MR imaging duration on stability of graph theory metrics of brain network connectivity." Radiology. [link].

Wilke, Marko. (2014). "Isolated assessment of translation or rotation severely underestimates the effects of subject motion in FMRI data." PloS one. [link].

Wisner, Krista M & Patzelt, Edward H & Lim, Kelvin O & MacDonald III, Angus W. (2013). "An intrinsic connectivity network approach to insula-derived dysfunctions among cocaine users." The American journal of drug and alcohol abuse. [link].

Wu, GuoRong & Liao, Wei & Stramaglia, Sebastiano & Ding, JuRong & Chen, Huafu & Marinazzo, Daniele. (2013). "A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data." Medical image analysis. [link].

Wu, GuoRong & Stramaglia, Sebastiano & Chen, Huafu & Liao, Wei & Marinazzo, Daniele. (2013). "Mapping the voxel-wise effective connectome in resting state fMRI." PloS one. [link].

Wu, Xia & Wu, Tong & Liu, Chenghua & Wen, Xiaotong & Yao, Li. (2017). "Frequency Clustering Analysis for Resting State Functional Magnetic Resonance Imaging based on Hilbert-Huang Transform." Frontiers in Human Neuroscience. [link].

Xia, Mingrui & Lin, Qixiang & Bi, Yanchao & He, Yong. (2016). "Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain." Frontiers in human neuroscience. [link].

Xia, Mingrui & Wang, Jinhui & He, Yong. (2013). "BrainNet Viewer: a network visualization tool for human brain connectomics." PloS one. [link].

Xu, Xin & Kuang, Qifan & Zhang, Yongqing & Wang, Huijun & Wen, Zhining & Li, Menglong. (2015). "Age-related changes in functional connectivity between young adulthood and late adulthood." Analytical Methods. [link].

Xu, Yangwen & Lin, Qixiang & Han, Zaizhu & He, Yong & Bi, Yanchao. (2016). "Intrinsic functional network architecture of human semantic processing: Modules and hubs." Neuroimage. [link].

Yan, ChaoGan & Craddock, R Cameron & He, Yong & Milham, Michael P. (2013). Addressing head motion dependencies for small-world topologies in functional connectomics. [link].

Yan, ChaoGan & Craddock, R Cameron & Zuo, XiNian & Zang, YuFeng & Milham, Michael P. (2013). "Standardizing the intrinsic brain: towards robust measurement of inter-individual variation in 1000 functional connectomes." Neuroimage. [link].

Yan, Chaogan & He, Yong. (2011). "Driving and driven architectures of directed small-world human brain functional networks." PLoS One. [link].

Yan, Chaogan & Zang, Yufeng. (2010). "DPARSF: a MATLAB toolbox for" pipeline" data analysis of resting-state fMRI." Frontiers in systems neuroscience. [link].

Yan, FengXian & Wu, Changwei W & Cheng, ShihYu & Lim, KunEng & Hsu, YuanYu & Liu, HoLing. (2013). "Resting-state functional magnetic resonance imaging analysis with seed definition constrained by regional homogeneity." Brain connectivity. [link].

Yang, Albert C & Tsai, ShihJen & Liu, MuEn & Huang, ChuChung & Lin, ChingPo. (2016). "The Association of Aging with White Matter Integrity and Functional Connectivity Hubs." Frontiers in Aging Neuroscience. [link].

Yang, Genevieve J & Murray, John D & Glasser, Matthew & Pearlson, Godfrey D & Krystal, John H & Schleifer, Charlie & Repovs, Grega & Anticevic, Alan. (2016). "Altered Global Signal Topography in Schizophrenia." Cerebral Cortex. [link].

Yang, Michael W Cole Genevieve J & Murray, John D. (2013). "Functional connectivity change as shared signal." NeuroImage. [link].

Yang, Zhen & Kelly, Clare & Castellanos, Francisco X & Leon, Terry & Milham, Michael P & Adler, Lenard A. (2016). "Neural correlates of symptom improvement following stimulant treatment in Adults with Attention-Deficit/Hyperactivity Disorder." Journal of child and adolescent psychopharmacology. [link].

Yang, Zhi & Qiu, Jiang & Wang, Peipei & Liu, Rui & Zuo, XiNian. (2016). "Brain structure–function associations identified in large-scale neuroimaging data." Brain Structure and Function. [link].

Yeo, BT Thomas & Krienen, Fenna M & Sepulcre, Jorge & Sabuncu, Mert R & Lashkari, Danial & Hollinshead, Marisa & Roffman, Joshua L & Smoller, Jordan W & Zollei, Lilla & Polimeni, Jonathan R & others. (2011). "The organization of the human cerebral cortex estimated by intrinsic functional connectivity." Journal of neurophysiology. [link].

Yeo, Thomas. (2011). "The organization of the human cerebellum estimated." J. Neurosci. [link].

Yuan, BinKe & Zang, YuFeng & Liu, DongQiang. (2016). "Influences of Head Motion Regression on High-Frequency Oscillation Amplitudes of Resting-State fMRI Signals." Frontiers in Human Neuroscience. [link].

Zaccarella, Emiliano & Friederici, Angela D. (2015). "Reflections of word processing in the insular cortex: a sub-regional parcellation based functional assessment." Brain and language. [link].

Zhang, Sheng & Chiangshan, R Li. (2012). "Functional connectivity mapping of the human precuneus by resting state fMRI." Neuroimage. [link].

Zhang, Sheng & Ide, Jaime S & Chiangshan, R Li. (2012). "Resting-state functional connectivity of the medial superior frontal cortex." Cerebral Cortex. [link].

Zhang, Sheng & Li, ChiangShan R. (2014). "Functional clustering of the human inferior parietal lobule by whole-brain connectivity mapping of resting-state functional magnetic resonance imaging signals." Brain connectivity. [link].

Zhang, Zhiqiang & Liao, Wei & Zuo, XiNian & Wang, Zhengge & Yuan, Cuiping & Jiao, Qing & Chen, Huafu & Biswal, Bharat B & Lu, Guangming & Liu, Yijun. (2011). "Resting-state brain organization revealed by functional covariance networks." PLoS One. [link].

Zhang, Ziqing & Sun, Shu & Yi, Ming & Wu, Xia & Ding, Yiming. (2015). "MIC as an appropriate method to construct the brain functional network." BioMed research international. [link].

Zhao, Tengda & Duan, Fei & Liao, Xuhong & Dai, Zhengjia & Cao, Miao & He, Yong & Shu, Ni. (2015). "Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study." Frontiers in human neuroscience. [link].

Zhong, Suyu & He, Yong & Gong, Gaolang. (2015). "Convergence and divergence across construction methods for human brain white matter networks: an assessment based on individual differences." Human brain mapping. [link].

Ziegler, Gabriel & Ridgway, Gerard R & Dahnke, Robert & Gaser, Christian & Alzheimers Disease Neuroimaging Initiative & others. (2014). "Individualized Gaussian process-based prediction and detection of local and global gray matter abnormalities in elderly subjects." NeuroImage. [link].

Zuo, XiNian & Ehmke, Ross & Mennes, Maarten & Imperati, Davide & Castellanos, F Xavier & Sporns, Olaf & Milham, Michael P. (2012). "Network centrality in the human functional connectome." Cerebral cortex. [link].

Zuo, XiNian & Kelly, Clare & Di Martino, Adriana & Mennes, Maarten & Margulies, Daniel S & Bangaru, Saroja & Grzadzinski, Rebecca & Evans, Alan C & Zang, YuFeng & Castellanos, F Xavier & others. (2010). "Growing together and growing apart: regional and sex differences in the lifespan developmental trajectories of functional homotopy." Journal of Neuroscience. [link].

Zuo, XiNian & Xu, Ting & Jiang, Lili & Yang, Zhi & Cao, XiaoYan & He, Yong & Zang, YuFeng & Castellanos, F Xavier & Milham, Michael P. (2013). "Toward reliable characterization of functional homogeneity in the human brain: preprocessing, scan duration, imaging resolution and computational space." Neuroimage. [link].

刘铁兵 & 姚文坡 & 宁新宝 & 倪黄晶 & 王俊. (2013). "功能磁共振成像的基本尺度熵分析." 物理学报. [link].

Peer-reviewed journal articles that used ABIDE data

Abraham, Alexandre & Dohmatob, Elvis & Thirion, Bertrand & Samaras, Dimitris & Varoquaux, Gael. (2013). Extracting brain regions from rest fMRI with total-variation constrained dictionary learning. [link].

Abraham, Alexandre & Milham, Michael & Di Martino, Adriana & Craddock, R Cameron & Samaras, Dimitris & Thirion, Bertrand & Varoquaux, Gael. (2016). "Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example." NeuroImage. [link].

Alaerts, Kaat & Geerlings, Franca & Herremans, Lynn & Swinnen, Stephan P & Verhoeven, Judith & Sunaert, Stefan & Wenderoth, Nicole. (2015). "Functional organization of the action observation network in autism: a graph theory approach." PloS one. [link].

Alaerts, Kaat & Nayar, Kritika & Kelly, Clare & Raithel, Jessica & Milham, Michael P & Di Martino, Adriana. (2015). "Age-related changes in intrinsic function of the superior temporal sulcus in autism spectrum disorders." Social cognitive and affective neuroscience. [link].

Alaerts, Kaat & Swinnen, Stephan P & Wenderoth, Nicole. (2016). "Sex differences in autism: a resting-state fMRI investigation of functional brain connectivity in males and females." Social cognitive and affective neuroscience. [link].

Alaerts, Kaat & Woolley, Daniel G & Steyaert, Jean & Di Martino, Adriana & Swinnen, Stephan P & Wenderoth, Nicole. (2014). "Underconnectivity of the superior temporal sulcus predicts emotion recognition deficits in autism." Social cognitive and affective neuroscience. [link].

Anderson, Jeffrey S & Nielsen, Jared A & Ferguson, Michael A & Burback, Melissa C & Cox, Elizabeth T & Dai, Li & Gerig, Guido & Edgin, Jamie O & Korenberg, Julie R. (2013). "Abnormal brain synchrony in Down syndrome." NeuroImage: Clinical. [link].

Anichini, Giulia. (2017). "Le côté «obscur» de la science." Revue d'anthropologie des connaissances. [link].

Baldwin, Philip R & Curtis, Kaylah N & Patriquin, Michelle A & Wolf, Varina & Viswanath, Humsini & Shaw, Chad & Sakai, Yasunari & Salas, Ramiro. (2015). "Identifying diagnostically‐relevant resting state brain functional connectivity in the ventral posterior complex via genetic data mining in autism spectrum disorder." Autism Research. [link].

Balsters, Joshua H & Mantini, Dante & Apps, Matthew AJ & Eickhoff, Simon B & Wenderoth, Nicole. (2016). "Connectivity-based parcellation increases network detection sensitivity in resting state fMRI: An investigation into the cingulate cortex in autism." NeuroImage: Clinical. [link].

Balsters, Joshua H & Mantini, Dante & Wenderoth, Nicole. (2017). "Connectivity-based parcellation reveals distinct cortico-striatal connectivity fingerprints in Autism Spectrum Disorder." NeuroImage. [link].

Bellec, Pierre & Chu, Carlton & ChouinardDecorte, Francois & Benhajali, Yassine & Margulies, Daniel S & Craddock, R Cameron. (2017). "The Neuro Bureau ADHD-200 Preprocessed Repository." Neuroimage. [link].

Bernal, Byron & Guillen, Magno R & Zamora, Kathryn & Altman, Nolan. (2015). "Utilizing rs-fMRI's Mean to Localize Seizure Focus." Open Journal of Radiology. [link].

Blackmon, Karen & BenAvi, Emma & Wang, Xiuyuan & Pardoe, Heath R & Di Martino, Adriana & Halgren, Eric & Devinsky, Orrin & Thesen, Thomas & Kuzniecky, Ruben. (2016). "Periventricular white matter abnormalities and restricted repetitive behavior in autism spectrum disorder." NeuroImage: Clinical. [link].

Blackmona, Karen & BenAvia, Emma & Wanga, Xiuyuan & Pardoea, Heath R & Di Martinoc, Adriana & Halgrend, Eric. (2015). NeuroImage: Clinical. [link].

Bonhage, Corinna & Weber, Friederike & Exner, Cornelia & Kanske, Philipp. (2016). "Thinking about thinking: Neural mechanisms and effects on memory." NeuroImage. [link].

Bos, DJ & MerchanNaranjo, J & Martinez, K & PinaCamacho, L & Balsa, I & Boada, L & Janssen, J. (2015). King's Research Portal. [link].

Bos, Dienke J & MerchanNaranjo, Jessica & Martinez, Kenia & PinaCamacho, Laura & Balsa, Ivan & Boada, Leticia & Schnack, Hugo & Oranje, Bob & Desco, Manuel & Arango, Celso & others. (2015). "Reduced Gyrification Is Related to Reduced Interhemispheric Connectivity in Autism Spectrum Disorders." Journal of the American Academy of Child and Adolescent Psychiatry. [link].

Burrows, Catherine A & Laird, Angela R & Uddin, Lucina Q. (2016). "Functional connectivity of brain regions for self‐and other‐evaluation in children, adolescents and adults with autism." Developmental science. [link].

Cerliani, Leonardo & Mennes, Maarten & Thomas, Rajat M & Di Martino, Adriana & Thioux, Marc & Keysers, Christian. (2015). "Increased functional connectivity between subcortical and cortical resting-state networks in autism spectrum disorder." JAMA psychiatry. [link].

Chen, Bing & Xu, Ting & Zhou, Changle & Wang, Luoyu & Yang, Ning & Wang, Ze & Dong, HaoMing & Yang, Zhi & Zang, YuFeng & Zuo, XiNian & others. (2015). "Individual variability and test-retest reliability revealed by ten repeated resting-state brain scans over one month." PloS one. [link].

Chen, Colleen P & Keown, Christopher L & Jahedi, Afrooz & Nair, Aarti & Pflieger, Mark E & Bailey, Barbara A & Muller, RalphAxel. (2015). "Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism." NeuroImage: Clinical. [link].

Chen, Colleen Pam & Keown, Christopher Lee & Muller, RalphAxel. (2013). "TOWARDS UNDERSTANDING AUTISM RISK FACTORS: A CLASSIFICATION OF BRAIN IMAGES WITH SUPPORT VECTOR MACHINES." International Journal of Semantic Computing. [link].

Chen, Heng & Duan, Xujun & Liu, Feng & Lu, Fengmei & Ma, Xujing & Zhang, Youxue & Uddin, Lucina Q & Chen, Huafu. (2016). "Multivariate classification of autism spectrum disorder using frequency-specific resting-state functional connectivity—a multi-center study." Progress in Neuro-Psychopharmacology and Biological Psychiatry. [link].

Chen, Heng & Uddin, Lucina Q & Zhang, Youxue & Duan, Xujun & Chen, Huafu. (2016). "Atypical effective connectivity of thalamo‐cortical circuits in autism spectrum disorder." Autism Research. [link].

Chen, Huaihou & Kelly, Clare & Castellanos, F Xavier & He, Ye & Zuo, XiNian & Reiss, Philip T. (2015). "Quantile rank maps: A new tool for understanding individual brain development." NeuroImage. [link].

Chen, Huaihou & Zhao, Bingxin & Porges, Eric C & Cohen, Ronald A & Ebner, Natalie C. (2016). "Edgewise and subgraph‐level tests for brain networks." Statistics in Medicine. [link].

Chen, Rong & Nixon, Erika & Herskovits, Edward. (2016). "Advanced connectivity analysis (ACA): a large scale functional connectivity data mining environment." Neuroinformatics. [link].

Chen, Shuo & Kang, Jian & Xing, Yishi & Wang, Guoqing. (2015). "A parsimonious statistical method to detect groupwise differentially expressed functional connectivity networks." Human brain mapping. [link].

Cheng, Wei & Rolls, Edmund T & Gu, Huaguang & Zhang, Jie & Feng, Jianfeng. (2015). "Autism: reduced connectivity between cortical areas involved in face expression, theory of mind, and the sense of self." Brain. [link].

Cheng, Wei & Rolls, Edmund T & Zhang, Jie & Sheng, Wenbo & Ma, Liang & Wan, Lin & Luo, Qiang & Feng, Jianfeng. (2016). "Functional connectivity decreases in autism in emotion, self, and face circuits identified by Knowledge-based Enrichment Analysis." NeuroImage. [link].

Dajani, Dina R & Uddin, Lucina Q. (2016). "Local brain connectivity across development in autism spectrum disorder: A cross‐sectional investigation." Autism Research. [link].

Di Martino, Adriana & OConnor, David & Chen, Bosi & Alaerts, Kaat & Anderson, Jeffrey & Assaf, Michal & Balsters, Joshua & Baxter, Leslie & Beggiato, Anita & Bernaerts, Sylvie & others. (2017). "Enhancing studies of the connectome in autism using the Autism Brain Imaging Data Exchange II." Scientific Data. [link].

Di Martino, Adriana & Yan, Chao-Gan & Li, Qingyang & Denio, Erin & Castellanos, Francisco X & Alaerts, Kaat & Anderson, Jeffrey S & Assaf, Michal & Bookheimer, Susan Y & Dapretto, Mirella & Deen, Ben & Delmonte, Sonja & Dinstein, Ilan & Ertl-Wagner, Birgit & Fair, Damien A & Gallagher, Louise & Kennedy, Daniel P & Keown, Christopher L & Keysers, Christian & Lainhart, Janet E & Lord, Catherine & Luna, Beatriz & Menon, Vinod & Minshew, Nancy & Monk, Christopher S & Mueller, Sophia & Müller, Ralph-Axel & Nebel, Mary Beth & Nigg, Joel T & O’Hearn, Kirsten & Pelphrey, Kevin A & Peltier, Scott J & Rudie, Jeffrey D & Sunaert, Stefan & Thioux, Marc & Tyszka, J Michael & Uddin, Lucina Q & Verhoeven, Judith S & Wenderoth, Nicole & Wiggins, Jillian L & Mostofsky, Stewart H & Milham, Michael P. (2014). "The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism." Molecular psychiatry. [link].

Di Martino, Adriana & Zuo, XiNian & Kelly, Clare & Grzadzinski, Rebecca & Mennes, Maarten & Schvarcz, Ariel & Rodman, Jennifer & Lord, Catherine & Castellanos, F Xavier & Milham, Michael P. (2013). "Shared and distinct intrinsic functional network centrality in autism and attention-deficit/hyperactivity disorder." Biological psychiatry. [link].

Di, Xin & Biswal, Bharat B. (2016). "Similarly expanded bilateral temporal lobe volumes in female and male children with autism spectrum disorder." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. [link].

Dona, Olga & Noseworthy, Michael D & DeMatteo, Carol & Connolly, John F. (2017). "Fractal Analysis of Brain Blood Oxygenation Level Dependent (BOLD) Signals from Children with Mild Traumatic Brain Injury (mTBI)." PloS one. [link].

Dougherty, Chase C & Evans, David W & Katuwal, Gajendra J & Michael, Andrew M. (2016). "Asymmetry of fusiform structure in autism spectrum disorder: trajectory and association with symptom severity." Molecular autism. [link].

Drysdale, Andrew T & Grosenick, Logan & Downar, Jonathan & Dunlop, Katharine & Mansouri, Farrokh & Meng, Yue & Fetcho, Robert N & Zebley, Benjamin & Oathes, Desmond J & Etkin, Amit & others. (2016). "Resting-state connectivity biomarkers define neurophysiological subtypes of depression." Nature Medicine. [link].

EilamStock, Tehila & Wu, Tingting & Spagna, Alfredo & Egan, Laura J & Fan, Jin. (2016). "Neuroanatomical alterations in high-functioning adults with autism spectrum disorder." Frontiers in Neuroscience. [link].

Elton, Amanda & Di Martino, Adriana & Hazlett, Heather Cody & Gao, Wei. (2016). "Neural connectivity evidence for a categorical-dimensional hybrid model of autism spectrum disorder." Biological psychiatry. [link].

Exchange, Autism Brain Imaging Data. (2016). Autism Brain Imaging Data Exchange.

Falahpour, Maryam & Thompson, Wesley K & Abbott, Angela E & Jahedi, Afrooz & Mulvey, Mark E & Datko, Michael & Liu, Thomas T & Muller, RalphAxel. (2016). "Underconnected, But Not Broken? Dynamic Functional Connectivity MRI Shows Underconnectivity in Autism Is Linked to Increased Intra-Individual Variability Across …." Brain connectivity. [link].

Fallil, Zianka & Pardoe, Heath & Bachman, Robert & Cunningham, Benjamin & Parulkar, Isha & Shain, Catherine & Poduri, Annapurna & Knowlton, Robert & Kuzniecky, Ruben & EPGP Investigators & others. (2015). "Phenotypic and imaging features of FLNA-negative patients with bilateral periventricular nodular heterotopia and epilepsy." Epilepsy and Behavior. [link].

Farrant, Kristafor & Uddin, Lucina Q. (2015). "Atypical developmental of dorsal and ventral attention networks in autism." Developmental science. [link].

Fredo, AR & Kavitha, G & Ramakrishnan, S. (2015). "Segmentation and analysis of corpus callosum in autistic MR brain images using reaction diffusion level sets." Journal of Medical Imaging and Health Informatics. [link].

Fredo, AR Jac & Kavitha, G & Ramakrishnan, S. (2015). "Automated segmentation and analysis of corpus callosum in Autistic MR brain images using fuzzy-c-means-based level set method." Journal of Medical and Biological Engineering. [link].

Fujita, Andre & Takahashi, Daniel Y & Patriota, Alexandre G & Sato, Joao R. (2014). "A non‐parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data." Statistics in medicine. [link].

Fujita, Andre & Takahashi, Daniel Yasumasa & Balardin, Joana Bisol & Vidal, Maciel Calebe & Sato, Joao Ricardo. (2017). "Correlation between graphs with an application to brain network analysis." Computational Statistics and Data Analysis. [link].

Fujita, Andre & Vidal, Maciel C & Takahashi, Daniel Y. (2017). "A statistical method to distinguish functional brain networks." Frontiers in Neuroscience. [link].

Ghiassian, Sina. (2014). Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Diagnose ADHD and Autism. [link].

Ghiassian, Sina & Greiner, Russell & Jin, Ping & Brown, Matthew RG. (2016). "Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism." PloS one. [link].

Glerean, Enrico & Pan, Raj K & Salmi, Juha & Kujala, Rainer & Lahnakoski, Juha M & Roine, Ulrika & Nummenmaa, Lauri & Leppamaki, Sami & Nieminenvon Wendt, Taina & Tani, Pekka & others. (2016). "Reorganization of functionally connected brain subnetworks in high‐functioning autism." Human brain mapping. [link].

Grecucci, Alessandro & Rubicondo, Danilo & Siugzdaite, Roma & Surian, Luca & Job, Remo. (2016). "Uncovering the social deficits in the autistic brain. A Source-Based Morphometric study." Frontiers in Neuroscience. [link].

Guo, Xiaonan & Chen, Heng & Long, Zhiliang & Duan, Xujun & Zhang, Youxue & Chen, Huafu. (2017). "Atypical developmental trajectory of local spontaneous brain activity in autism spectrum disorder." Scientific Reports. [link].

Guo, Xiaonan & Duan, Xujun & Long, Zhiliang & Chen, Heng & Wang, Yifeng & Zheng, Junjie & Zhang, Youxue & Li, Rong & Chen, Huafu. (2016). "Decreased amygdala functional connectivity in adolescents with autism: A resting-state fMRI study." Psychiatry Research: Neuroimaging. [link].

Haar, Shlomi & Berman, Sigal & Behrmann, Marlene & Dinstein, Ilan. (2014). "Anatomical abnormalities in autism?." Cerebral Cortex. [link].

Hahamy, Avital & Behrmann, Marlene & Malach, Rafael. (2015). "The idiosyncratic brain: distortion of spontaneous connectivity patterns in autism spectrum disorder." Nature neuroscience. [link].

Haselgrove, Christian & Poline, JeanBaptiste & Kennedy, David N. (2014). A simple tool for neuroimaging data sharing. [link].

Hiess, R Kucharsky & Alter, R & Sojoudi, S & Ardekani, BA & Kuzniecky, R & Pardoe, HR. (2015). "Corpus callosum area and brain volume in autism spectrum disorder: quantitative analysis of structural MRI from the ABIDE database." Journal of autism and developmental disorders. [link].

Hoffmann, Ferdinand & Koehne, Svenja & Steinbeis, Nikolaus & Dziobek, Isabel & Singer, Tania. (2016). "Preserved self-other distinction during empathy in autism is linked to network integrity of right supramarginal gyrus." Journal of autism and developmental disorders. [link].

Huang, ChunChao & Lin, ShangHua & Lin, ChingPo. (2016). "The effect of network template from normal subjects in the detection of network impairment." Acta Neurobiol Exp. [link].

Huo, Yuankai & Aboud, Katherine & Kang, Hakmook & Cutting, Laurie E & Landman, Bennett A. (2016). Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI. [link].

Igelstrom, Kajsa M & Webb, Taylor W & Graziano, Michael SA. (2016). "Functional connectivity between the temporoparietal cortex and cerebellum in autism spectrum disorder." Cerebral Cortex. [link].

Iidaka, Tetsuya. (2015). "Resting state functional magnetic resonance imaging and neural network classified autism and control." Cortex. [link].

Jac Fredo, AR & Kavitha, G & Ramakrishnan, S. (2014). "Segmentation and analysis of brain subcortical regions using regularized multiphase level set in autistic MR images." International Journal of Imaging Systems and Technology. [link].

Jac Fredo, AR & Kavitha, G & Ramakrishnan, S. (2014). "Segmentation and morphometric analysis of subcortical regions in autistic MR brain images using fuzzy Gaussian distribution model-based distance regularised multi- …." International Journal of Biomedical Engineering and Technology. [link].

Jakab, Andras & Emri, Miklos & Spisak, Tamas & SzemanNagy, Anita & Beres, Monika & Kis, Sandor Attila & Molnar, Peter & Berenyi, Ervin. (2013). "Autistic traits in neurotypical adults: correlates of graph theoretical functional network topology and white matter anisotropy patterns." PloS one. [link].

Jiang, Lili & Hou, XiaoHui & Yang, Ning & Yang, Zhi & Zuo, XiNian. (2015). "Examination of local functional homogeneity in Autism." BioMed research international. [link].

Jiang, Lili & Zuo, XiNian. (2016). "Regional homogeneity: a multimodal, multiscale neuroimaging marker of the human connectome." The Neuroscientist. [link].

KassraianFard, Pegah & Matthis, Caroline & Balsters, Joshua H & Maathuis, Marloes H & Wenderoth, Nicole. (2016). "Promises, pitfalls, and basic guidelines for applying machine learning classifiers to psychiatric imaging data, with autism as an example." Frontiers in Psychiatry. [link].

Katuwal, Gajendra J & Baum, Stefi A & Cahill, Nathan D & Dougherty, Chase C & Evans, Eli & Evans, David W & Moore, Gregory J & Michael, Andrew M. (2016). "Inter-method discrepancies in brain volume estimation may drive inconsistent findings in autism." Frontiers in Neuroscience. [link].

Katuwal, Gajendra J & Baum, Stefi A & Cahill, Nathan D & Michael, Andrew M. (2016). "Divide and conquer: sub-grouping of ASD improves ASD detection based on brain morphometry." PloS one. [link].

Keown, Christopher L & Datko, Michael C & Chen, Colleen P & Maximo, Jose Omar & Jahedi, Afrooz & Muller, RalphAxel. (2017). "Network Organization Is Globally Atypical in Autism: A Graph Theory Study of Intrinsic Functional Connectivity." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. [link].

Lange, Nicholas & Travers, Brittany G & Bigler, Erin D & Prigge, Molly BD & Froehlich, Alyson L & Nielsen, Jared A & Cariello, Annahir N & Zielinski, Brandon A & Anderson, Jeffrey S & Fletcher, P Thomas & others. (2015). "Longitudinal volumetric brain changes in autism spectrum disorder ages 6–35 years." Autism Research. [link].

Lee, Jung Min & Kyeong, Sunghyun & Kim, Eunjoo & Cheon, KeunAh. (2016). "Abnormalities of inter-and intra-hemispheric functional connectivity in autism spectrum disorders: a study using the autism brain imaging data exchange …." Frontiers in neuroscience. [link].

Lefebvre, Aline & Beggiato, Anita & Bourgeron, Thomas & Toro, Roberto. (2015). "… diversity of corpus callosum and brain volume in autism: meta-analysis, analysis of the Autism Brain Imaging Data Exchange project, and simulation." Biological psychiatry. [link].

Levmana, Jacob & Takahashia, Emi. (2015). NeuroImage: Clinical. [link].

Liu, Wei & Wei, Dongtao & Chen, Qunlin & Yang, Wenjing & Meng, Jie & Wu, Guorong & Bi, Taiyong & Zhang, Qinglin & Zuo, XiNian & Qiu, Jiang. (2017). "Longitudinal test-retest neuroimaging data from healthy young adults in southwest China." Scientific Data. [link].

Long, Zhiliang & Duan, Xujun & Chen, Heng & Zhang, Youxue & Chen, Huafu. (2016). Structural covariance model reveals dynamic reconfiguration of triple networks in autism spectrum disorder. [link].

Long, Zhiliang & Duan, Xujun & Mantini, Dante & Chen, Huafu. (2016). "Alteration of functional connectivity in autism spectrum disorder: effect of age and anatomical distance." Scientific reports. [link].

Mennes, Maarten & Jenkinson, Mark & Valabregue, Romain & Buitelaar, Jan K & Beckmann, Christian & Smith, Stephen. (2014). "Optimizing full-brain coverage in human brain MRI through population distributions of brain size." NeuroImage. [link].

Michael, Andrew M & Evans, Eli & Moore, Gregory J. (2016). "Influence of Group on Individual Subject Maps in SPM Voxel Based Morphometry." Frontiers in Neuroscience. [link].

Moradi, Elaheh & Khundrakpam, Budhachandra & Lewis, John D & Evans, Alan C & Tohka, Jussi. (2017). "Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data." NeuroImage. [link].

Mueller, Sophia & Keeser, Daniel & Samson, Andrea C & Kirsch, Valerie & Blautzik, Janusch & Grothe, Michel & Erat, Okan & Hegenloh, Michael & Coates, Ute & Reiser, Maximilian F & others. (2013). "Convergent findings of altered functional and structural brain connectivity in individuals with high functioning autism: a multimodal MRI study." PloS one. [link].

Mueller, Sophia & Wang, Danhong & Fox, Michael D & Pan, Ruiqi & Lu, Jie & Li, Kuncheng & Sun, Wei & Buckner, Randy L & Liu, Hesheng. (2015). "Reliability correction for functional connectivity: Theory and implementation." Human brain mapping. [link].

Munir, Kamran & Ahmad, Khawar Hasham & McClatchey, Richard. (2015). "Development of a large-scale neuroimages and clinical variables data atlas in the neuGRID4You (N4U) project." Journal of biomedical informatics. [link].

Nair, Aarti & Carper, Ruth A & Abbott, Angela E & Chen, Colleen P & Solders, Seraphina & Nakutin, Sarah & Datko, Michael C & Fishman, Inna & Muller, RalphAxel. (2015). "Regional specificity of aberrant thalamocortical connectivity in autism." Human brain mapping. [link].

Nair, Sangeeta & Keehn, R Joanne Jao & Berkebile, Michael M & Maximo, Jose Omar & Witkowska, Natalia & Muller, RalphAxel. (2017). "Local resting state functional connectivity in autism: site and cohort variability and the effect of eye status." Brain Imaging and Behavior. [link].

Narayan, Manjari & Allen, Genevera I. (2016). "Mixed effects models for resampled network statistics improves statistical power to find differences in multi-subject functional connectivity." Frontiers in neuroscience. [link].

Nebel, Mary Beth & Eloyan, Ani & Barber, Anita D & Mostofsky, Stewart H. (2014). "Precentral gyrus functional connectivity signatures of autism." Frontiers in systems neuroscience. [link].

Nebel, Mary Beth & Eloyan, Ani & Nettles, Carrie A & Sweeney, Kristie L & Ament, Katarina & Ward, Rebecca E & Choe, Ann S & Barber, Anita D & Pekar, James J & Mostofsky, Stewart H. (2016). "Intrinsic visual-motor synchrony correlates with social deficits in autism." Biological psychiatry. [link].

Nielsen, Jared A & Zielinski, Brandon A & Fletcher, P Thomas & Alexander, Andrew L & Lange, Nicholas & Bigler, Erin D & Lainhart, Janet E & Anderson, Jeffrey S. (2013). Multisite functional connectivity MRI classification of autism: ABIDE results. [link].

Nielsen, Jared A & Zielinski, Brandon A & Fletcher, P Thomas & Alexander, Andrew L & Lange, Nicholas & Bigler, Erin D & Lainhart, Janet E & Anderson, Jeffrey S. (2014). "Abnormal lateralization of functional connectivity between language and default mode regions in autism." Molecular autism. [link].

Nomi, Jason S & Uddin, Lucina Q. (2015). "Developmental changes in large-scale network connectivity in autism." NeuroImage: Clinical. [link].

Osipowicz, Karol & Bosenbark, Danielle D & Patrick, Kristina E. (2015). "Cortical changes across the autism lifespan." Autism Research. [link].

Panta, Sandeep R & Wang, Runtang & Fries, Jill & Kalyanam, Ravi & Speer, Nicole & Banich, Marie & Kiehl, Kent & King, Margaret & Milham, Michael & Wager, Tor D & others. (2016). "A Tool for Interactive Data Visualization: Application to Over 10,000 Brain Imaging and Phantom MRI Data Sets." Frontiers in neuroinformatics. [link].

Pappaianni, E & Siugzdaite, R & Grecucci, A. (2016). "An abnormal cerebellar network in children with autistic spectrum disorder: a morphometric study." Autism Open Access. [link].

Pardoe, Heath R & Cutter, Gary R & Alter, Rachel & Hiess, Rebecca Kucharsky & Semmelroch, Mira & Parker, Donna & Farquharson, Shawna & Jackson, Graeme D & Kuzniecky, Ruben. (2016). "Pooling morphometric estimates: a statistical equivalence approach." Journal of Neuroimaging. [link].

Pardoe, Heath R & Hiess, Rebecca Kucharsky & Kuzniecky, Ruben. (2016). "Motion and morphometry in clinical and nonclinical populations." Neuroimage. [link].

Pardoe, Heath R & Mandelstam, Simone A & Hiess, Rebecca Kucharsky & Kuzniecky, Ruben I & Jackson, Graeme D & Alzheimers Disease Neuroimaging Initiative & Epilepsy PhenomeGenome Project Investigators & others. (2015). "Quantitative assessment of corpus callosum morphology in periventricular nodular heterotopia." Epilepsy research. [link].

Plitt, Mark & Barnes, Kelly Anne & Martin, Alex. (2015). "Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards." NeuroImage: Clinical. [link].

Potvin, Olivier & Mouiha, Abderazzak & Dieumegarde, Louis & Duchesne, Simon & Alzheimers Disease Neuroimaging Initiative & others. (2016). "Normative data for subcortical regional volumes over the lifetime of the adult human brain." NeuroImage. [link].

Power, Jonathan D. (2016). "A simple but useful way to assess fMRI scan qualities." NeuroImage. [link].

Power, Jonathan D & Plitt, Mark & Laumann, Timothy O & Martin, Alex. (2016). "Sources and implications of whole-brain fMRI signals in humans." NeuroImage. [link].

Price, True & Wee, ChongYaw & Gao, Wei & Shen, Dinggang. (2014). Multiple-network classification of childhood autism using functional connectivity dynamics. [link].

Pruim, Raimon HR & Mennes, Maarten & Buitelaar, Jan K & Beckmann, Christian F. (2015). "Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI." Neuroimage. [link].

Ray, Siddharth & Miller, Meghan & Karalunas, Sarah & Robertson, Charles & Grayson, David S & Cary, Robert P & Hawkey, Elizabeth & Painter, Julia G & Kriz, Daniel & Fombonne, Eric & others. (2014). "Structural and functional connectivity of the human brain in autism spectrum disorders and attention‐deficit/hyperactivity disorder: a rich club‐organization study." Human brain mapping. [link].

Richards, John E & Sanchez, Carmen & PhillipsMeek, Michelle & Xie, Wanze. (2016). "A database of age-appropriate average MRI templates." Neuroimage. [link].

Riddle, Kaitlin & Cascio, Carissa J & Woodward, Neil D. (2016). "Brain structure in autism: a voxel-based morphometry analysis of the Autism Brain Imaging Database Exchange (ABIDE)." Brain imaging and behavior. [link].

Risk, Benjamin B & Matteson, David S & Ruppert, David & Eloyan, Ani & Caffo, Brian S. (2014). "An evaluation of independent component analyses with an application to resting‐state fMRI." Biometrics. [link].

Sabuncu, Mert R & Konukoglu, Ender & Alzheimers Disease Neuroimaging Initiative & others. (2015). "Clinical prediction from structural brain MRI scans: a large-scale empirical study." Neuroinformatics. [link].

Sato, Joao Ricardo & Balardin, Joana & Vidal, Maciel Calebe & Fujita, Andre. (2016). "Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysis." Journal of psychiatry and neuroscience: JPN. [link].

Schaer, Marie & Kochalka, John & Padmanabhan, Aarthi & Supekar, Kaustubh & Menon, Vinod. (2015). "Sex differences in cortical volume and gyrification in autism." Molecular autism. [link].

Schuetze, Manuela & Park, Min Tae M & Cho, Ivy YK & MacMaster, Frank P & Chakravarty, M Mallar & Bray, Signe L. (2016). "Morphological alterations in the thalamus, striatum, and pallidum in autism spectrum disorder." Neuropsychopharmacology. [link].

Sochat, Vanessa & Supekar, Kaustubh & Bustillo, Juan & Calhoun, Vince & Turner, Jessica A & Rubin, Daniel L. (2014). "A robust classifier to distinguish noise from fMRI independent components." PloS one. [link].

Somandepalli, Krishna & Kelly, Clare & Reiss, Philip T & Zuo, XiNian & Craddock, R Cameron & Yan, ChaoGan & Petkova, Eva & Castellanos, F Xavier & Milham, Michael P & Di Martino, Adriana. (2015). "Short-term test–retest reliability of resting state fMRI metrics in children with and without attention-deficit/hyperactivity disorder." Developmental Cognitive Neuroscience. [link].

Spisak, T & Jakab, A & Kis, SA & Opposits, G & Aranyi, C & others. (2014). Voxel-Wise Motion Artifacts in Population-Level Whole-Brain Connectivity Analysis of. [link].

Spisak, Tamas & Jakab, Andras & Kis, Sandor A & Opposits, Gabor & Aranyi, Csaba & Berenyi, Ervin & Emri, Miklos. (2014). "Voxel-wise motion artifacts in population-level whole-brain connectivity analysis of resting-state FMRI." PloS one. [link].

Subbaraju, Vigneshwaran & Sundaram, Suresh & Narasimhan, Sundararajan & Suresh, Mahanand Belathur. (2015). "Accurate detection of autism spectrum disorder from structural MRI using extended metacognitive radial basis function network." Expert Systems with Applications. [link].

Subbaraju, Vigneshwaran & Suresh, Mahanand Belathur & Sundaram, Suresh & Narasimhan, Sundararajan. (2017). "Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional-magnetic resonance imaging: A spatial …." Medical image analysis. [link].

Supekar, Kaustubh & Menon, Vinod. (2015). "Sex differences in structural organization of motor systems and their dissociable links with repetitive/restricted behaviors in children with autism." Molecular autism. [link].

Tagliazucchi, Enzo & Laufs, Helmut. (2014). "Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep." Neuron. [link].

Tao, Chenyang & Feng, Jianfeng. (2016). "Nonlinear association criterion, nonlinear Granger causality and related issues with applications to neuroimage studies." Journal of neuroscience methods. [link].

Torres, EB & Denisova, K. (2016). "Motor noise is rich signal in autism research and pharmacological treatments." Scientific Reports. [link].

Torres, Elizabeth B. (2016). Rethinking the study of volition for clinical use. [link].

Turner, Andia H & Greenspan, Kiefer S & van Erp, Theo GM. (2016). "Pallidum and lateral ventricle volume enlargement in autism spectrum disorder." Psychiatry Research: Neuroimaging. [link].

Valizadeh, SA & Hanggi, J & Merillat, S & Jancke, L. (2017). "Age prediction on the basis of brain anatomical measures." Human Brain Mapping. [link].

Valk, Sofie L & Di Martino, Adriana & Milham, Michael P & Bernhardt, Boris C. (2015). "Multicenter mapping of structural network alterations in autism." Human brain mapping. [link].

Venkataraman, Archana & Duncan, James S & Daniel, YJ Yang & Pelphrey, Kevin A. (2015). NeuroImage: Clinical. [link].

Venkataraman, Archana & Duncan, James S & Yang, Daniel YJ & Pelphrey, Kevin A. (2015). "An unbiased Bayesian approach to functional connectomics implicates social-communication networks in autism." NeuroImage: Clinical. [link].

Vidal, Maciel C & Sato, Joao R & Balardin, Joana B & Takahashi, Daniel Y & Fujita, Andre. (2017). "ANOCVA in R: A Software to Compare Clusters between Groups and Its Application to the Study of Autism Spectrum Disorder." Frontiers in Neuroscience. [link].

Vinette, Sarah A & Bray, Signe. (2015). Developmental Cognitive Neuroscience. [link].

Vinette, Sarah A & Bray, Signe. (2015). "Variation in functional connectivity along anterior-to-posterior intraparietal sulcus, and relationship with age across late childhood and adolescence." Developmental cognitive neuroscience. [link].

Vogelstein, Joshua T & Priebe, Carey E. (2015). "Shuffled graph classification: Theory and connectome applications." Journal of Classification. [link].

Wang, Liye & Wee, ChongYaw & Suk, HeungIl & Tang, Xiaoying & Shen, Dinggang. (2015). "MRI-based intelligence quotient (IQ) estimation with sparse learning." PloS one. [link].

Wang, Liye & Wee, ChongYaw & Tang, Xiaoying & Yap, PewThian & Shen, Dinggang. (2016). "Multi-task feature selection via supervised canonical graph matching for diagnosis of autism spectrum disorder." Brain imaging and behavior. [link].

Watanabe, Takamitsu & Rees, Geraint. (2015). "Age-associated changes in rich-club organisation in autistic and neurotypical human brains." Scientific reports. [link].

Watanabe, Takanori & Kessler, Daniel & Scott, Clayton & Angstadt, Michael & Sripada, Chandra. (2014). "Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine." Neuroimage. [link].

Wee, ChongYaw & Yap, PewThian & Shen, Dinggang. (2016). "Diagnosis of Autism Spectrum Disorders Using Temporally Distinct Resting‐State Functional Connectivity Networks." CNS neuroscience and therapeutics. [link].

Wolfe, Farah H & Auzias, Guillaume & Deruelle, Christine & Chaminade, Thierry. (2015). "Focal atrophy of the hypothalamus associated with third ventricle enlargement in autism spectrum disorder." NeuroReport. [link].

Woodward, Neil D & GiraldoChica, Monica & Rogers, Baxter & Cascio, Carissa J. (2017). "Thalamocortical dysconnectivity in autism spectrum disorder: An analysis of the autism brain imaging data exchange." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. [link].

Wyciszkiewicz, Aleksandra & Pawlak, Mikolaj A. (2014). "Basal ganglia volumes: MR-derived reference ranges and lateralization indices for children and young adults." The neuroradiology journal. [link].

Xie, Wanze & Richards, John E & Lei, Du & Lee, Kang & Gong, Qiyong. (2015). "Comparison of the brain development trajectory between Chinese and US children and adolescents." Frontiers in systems neuroscience. [link].

Xie, Wanze & Richards, John E & Lei, Du & Zhu, Hongyan & Lee, Kang & Gong, Qiyong. (2015). "The construction of MRI brain/head templates for Chinese children from 7 to 16 years of age." Developmental cognitive neuroscience. [link].

Yahata, Noriaki & Kasai, Kiyoto & Kawato, Mitsuo. (2016). "Computational neuroscience approach to biomarkers and treatments for mental disorders." Psychiatry and Clinical Neurosciences. [link].

Yahata, Noriaki & Morimoto, Jun & Hashimoto, Ryuichiro & Lisi, Giuseppe & Shibata, Kazuhisa & Kawakubo, Yuki & Kuwabara, Hitoshi & Kuroda, Miho & Yamada, Takashi & Megumi, Fukuda & others. (2016). "A small number of abnormal brain connections predicts adult autism spectrum disorder." Nature communications. [link].

Yan, ChaoGan & Wang, XinDi & Zuo, XiNian & Zang, YuFeng. (2016). "DPABI: data processing & analysis for (resting-state) brain imaging." Neuroinformatics. [link].

Yang, Jie & Lee, Jonathan. (2016). "Different aberrant mentalizing networks in males and females with autism spectrum disorders: Evidence from resting-state functional magnetic resonance imaging." Autism. [link].

Yao, Zhijun & Hu, Bin & Xie, Yuanwei & Zheng, Fang & Liu, Guangyao & Chen, Xuejiao & Zheng, Weihao. (2016). "Resting-State Time-Varying Analysis Reveals Aberrant Variations of Functional Connectivity in Autism." Frontiers in Human Neuroscience. [link].

Ypma, Rolf JF & Moseley, Rachel L & Holt, Rosemary J & Rughooputh, Naresh & Floris, Dorothea L & Chura, Lindsay R & Spencer, Michael D & BaronCohen, Simon & Suckling, John & Bullmore, Edward T & others. (2016). "Default mode hypoconnectivity underlies a sex-related autism spectrum." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. [link].

Zhang, Jie & Cheng, Wei & Liu, Zhaowen & Zhang, Kai & Lei, Xu & Yao, Ye & Becker, Benjamin & Liu, Yicen & Kendrick, Keith M & Lu, Guangming & others. (2016). "Neural, electrophysiological and anatomical basis of brain-network variability and its characteristic changes in mental disorders." Brain. [link].

Zhao, Feng & Qiao, Lishan & Shi, Feng & Yap, PewThian & Shen, Dinggang. (2016). "Feature fusion via hierarchical supervised local CCA for diagnosis of autism spectrum disorder." Brain Imaging and Behavior. [link].

Zhao, Yu & Chen, Hanbo & Li, Yujie & Lv, Jinglei & Jiang, Xi & Ge, Fangfei & Zhang, Tuo & Zhang, Shu & Ge, Bao & Lyu, Cheng & others. (2016). "Connectome-scale group-wise consistent resting-state network analysis in autism spectrum disorder." NeuroImage: Clinical. [link].

Zhou, Yongxia & Yu, Fang & Duong, Timothy. (2014). "Multiparametric MRI characterization and prediction in autism spectrum disorder using graph theory and machine learning." PLoS One. [link].

Zhou, Yuanyue & Shi, Lijuan & Cui, Xilong & Wang, Suhong & Luo, Xuerong. (2016). "Functional Connectivity of the Caudal Anterior Cingulate Cortex Is Decreased in Autism." PloS one. [link].

Zhu, Yingying & Zhu, Xiaofeng & Zhang, Han & Gao, Wei & Shen, Dinggang & Wu, Guorong. (2016). Reveal Consistent Spatial-Temporal Patterns from Dynamic Functional Connectivity for Autism Spectrum Disorder Identification. [link].

Zu, Chen & Gao, Yue & Munsell, Brent & Kim, Minjeong & Peng, Ziwen & Zhu, Yingying & Gao, Wei & Zhang, Daoqiang & Shen, Dinggang & Wu, Guorong. (2016). Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. [link].

Zuo, XiNian & Xing, XiuXia. (2014). "Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective." Neuroscience and Biobehavioral Reviews. [link].

Peer-reviewed journal articles that used ADHD-200 data

Abraham, Alexandre & Milham, Michael & Di Martino, Adriana & Craddock, R Cameron & Samaras, Dimitris & Thirion, Bertrand & Varoquaux, Gael. (2016). "Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example." NeuroImage. [link].

Ahn, Mihye & Shen, Haipeng & Lin, Weili & Zhu, Hongtu. (2015). "A sparse reduced rank framework for group analysis of functional neuroimaging data." Statistica Sinica. [link].

Anderson, Ariana & Douglas, Pamela K & Kerr, Wesley T & Haynes, Virginia S & Yuille, Alan L & Xie, Jianwen & Wu, Ying Nian & Brown, Jesse A & Cohen, Mark S. (2014). "Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD." NeuroImage. [link].

Anderson, Jeffrey S & Ferguson, Michael A & LopezLarson, Melissa & YurgelunTodd, Deborah. (2011). "Connectivity gradients between the default mode and attention control networks." Brain connectivity. [link].

Anderson, Jeffrey S & Nielsen, Jared A & Ferguson, Michael A & Burback, Melissa C & Cox, Elizabeth T & Dai, Li & Gerig, Guido & Edgin, Jamie O & Korenberg, Julie R. (2013). "Abnormal brain synchrony in Down syndrome." NeuroImage: Clinical. [link].

Anderson, Jeffrey S & Treiman, Scott M & Ferguson, Michael A & Nielsen, Jared A & Edgin, Jamie O & Dai, Li & Gerig, Guido & Korenberg, Julie R. (2015). "Violence: heightened brain attentional network response is selectively muted in Down syndrome." Journal of neurodevelopmental disorders. [link].

Anderson, Jeffrey S & Zielinski, Brandon A & Nielsen, Jared A & Ferguson, Michael A. (2014). "Complexity of low‐frequency blood oxygen level‐dependent fluctuations covaries with local connectivity." Human brain mapping. [link].

Armstrong, Casey C & Moody, Teena D & Feusner, Jamie D & McCracken, James T & Chang, Susanna & Levitt, Jennifer G & Piacentini, John C & ONeill, Joseph. (2016). "Graph-theoretical analysis of resting-state fMRI in pediatric obsessive–compulsive disorder." Journal of affective disorders. [link].

Bakhtiari, Shahab Kadkhodaeian & HosseinZadeh, GholamAli. (2012). "Subspace-based identification algorithm for characterizing causal networks in resting brain." Neuroimage. [link].

Bellec, Pierre & Chu, Carlton & ChouinardDecorte, Francois & Benhajali, Yassine & Margulies, Daniel S & Craddock, R Cameron. (2017). "The Neuro Bureau ADHD-200 Preprocessed Repository." Neuroimage. [link].

Bellec, Pierre & LavoieCourchesne, Sebastien & Dickinson, Phil & Lerch, Jason & Zijdenbos, Alex & Evans, Alan C. (2012). "The pipeline system for Octave and Matlab (PSOM): a lightweight scripting framework and execution engine for scientific workflows." Frontiers in neuroinformatics. [link].

Bohland, Jason W & Saperstein, Sara & Pereira, Francisco & Rapin, Jeremy & Grady, Leo. (2012). "Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects." Frontiers in systems neuroscience. [link].

Brown, Jesse A & Van Horn, John D. (2016). "Connected brains and minds—The UMCD repository for brain connectivity matrices." NeuroImage. [link].

Brown, Matthew RG & Sidhu, Gagan S & Greiner, Russell & Asgarian, Nasimeh & Bastani, Meysam & Silverstone, Peter H & Greenshaw, Andrew J & Dursun, Serdar M. (2012). "ADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements." Frontiers in systems neuroscience. [link].

Carmona, Susana & Hoekzema, Elseline & Castellanos, Francisco X & GarciaGarcia, David & LageCastellanos, Agustin & Van Dijk, Koene RA & NavasSanchez, Francisco J & Martinez, Kenia & Desco, Manuel & Sepulcre, Jorge. (2015). "Sensation‐to‐cognition cortical streams in attention‐deficit/hyperactivity disorder." Human brain mapping. [link].

Chang, CheWei & Ho, ChienChang & Chen, JyhHorng. (2012). "ADHD classification by a texture analysis of anatomical brain MRI data." Frontiers in systems neuroscience. [link].

Chen, Ziqi & Leng, Chenlei. (2016). "Dynamic covariance models." Journal of the American Statistical Association. [link].

Cheng, Wei & Ji, Xiaoxi & Zhang, Jie & Feng, Jianfeng. (2012). "Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques." Frontiers in systems neuroscience. [link].

Colby, John B & Rudie, Jeffrey D & Brown, Jesse A & Douglas, Pamela K & Cohen, Mark S & Shehzad, Zarrar. (2012). "Insights into multimodal imaging classification of ADHD." Frontiers in systems neuroscience. [link].

Dai, Dai & Wang, Jieqiong & Hua, Jing & He, Huiguang. (2012). "Classification of ADHD children through multimodal magnetic resonance imaging." Frontiers in systems neuroscience. [link].

Dang, Shilpa & Chaudhury, Santanu & Lall, Brejesh & Roy, Prasun Kumar. (2017). "Learning Effective Connectivity from fMRI using Autoregressive hidden Markov model with missing data." Journal of Neuroscience Methods. [link].

Davis, Ben & Jovicich, Jorge & Iacovella, Vittorio & Hasson, Uri. (2013). "Functional and developmental significance of amplitude variance asymmetry in the BOLD resting-state signal." Cerebral Cortex. [link].

Dey, Soumyabrata & Rao, A Ravishankar & Shah, Mubarak. (2012). "Exploiting the brain's network structure in identifying ADHD subjects." Frontiers in systems neuroscience. [link].

Du, Junqiang & Wang, Lipeng & Jie, Biao & Zhang, Daoqiang. (2016). "Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA." Computerized Medical Imaging and Graphics. [link].

Eloyan, Ani & Crainiceanu, Ciprian M & Caffo, Brian S. (2013). "Likelihood-based population independent component analysis." Biostatistics. [link].

Eloyan, Ani & Muschelli, John & Nebel, Mary Beth & Liu, Han & Han, Fang & Zhao, Tuo & Barber, Anita D & Pekar, James J & Mostofsky, Stewart H & Caffo, Brian. (2012). "Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging." Frontiers in systems neuroscience. [link].

Elton, Amanda & Alcauter, Sarael & Gao, Wei. (2014). "Network connectivity abnormality profile supports a categorical‐dimensional hybrid model of ADHD." Human brain mapping. [link].

Fair, Damien A & Nigg, Joel T & Iyer, Swathi & Bathula, Deepti & Mills, Kathryn L & Dosenbach, NU & Schlaggar, Bradley L & Mennes, Maarten & Gutman, David & Bangaru, Saroja & others. (2012). Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data. [link].

Finn, Emily S & Constable, R Todd. (2016). "Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease." Dialogues in clinical neuroscience. [link].

Fujita, Andre & Takahashi, Daniel Y & Patriota, Alexandre G & Sato, Joao R. (2014). "A non‐parametric statistical test to compare clusters with applications in functional magnetic resonance imaging data." Statistics in medicine. [link].

Garcia, Jose Gerardo Suarez & Lopez, Javier Miguel Hernandez & Barbosa, Eduardo Moreno & Mendez, Jose Ramos & Alonso, Benito de Celis & MassillonJL, Guerda & Fossion, Ruben & Mendez, Ivan Miguel Rosado & AvilaRodriguez, Miguel A & LopezPerez, Danna Oassis. (2016). Diagnosis of ADHD children by wavelet analysis. [link].

Ghiassian, Sina. (2014). Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Diagnose ADHD and Autism. [link].

Ghiassian, Sina & Greiner, Russell & Jin, Ping & Brown, Matthew RG. (2016). "Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism." PloS one. [link].

Han, Fang & Zhao, Tuo & Liu, Han. (2013). "Coda: High dimensional copula discriminant analysis." Journal of Machine Learning Research. [link].

Han, Xiaobing & Zhong, Yanfei & He, Lifang & Philip, S Yu & Zhang, Liangpei. (2015). The unsupervised hierarchical convolutional sparse auto-encoder for neuroimaging data classification. [link].

Hart, Heledd & Chantiluke, Kaylita & Cubillo, Ana I & Smith, Anna B & Simmons, Andrew & Brammer, Michael J & Marquand, Andre F & Rubia, Katya. (2014). "Pattern classification of response inhibition in ADHD: toward the development of neurobiological markers for ADHD." Human brain mapping. [link].

He, Lifang & Kong, Xiangnan & Yu, Philip S & Yang, Xiaowei & Ragin, Ann B & Hao, Zhifeng. (2014). Dusk: A dual structure-preserving kernel for supervised tensor learning with applications to neuroimages. [link].

Hu, Chenhui & El Fakhri, Georges & Li, Quanzheng. (2014). Evaluating structural symmetry of weighted brain networks via graph matching. [link].

Huang, Chao & Styner, Martin & Zhu, Hongtu. (2015). "Clustering high-dimensional landmark-based two-dimensional shape data." Journal of the American Statistical Association. [link].

Huf, Wolfgang & Kalcher, Klaudius & Boubela, Roland N & Rath, Georg & Vecsei, Andreas & Filzmoser, Peter & Moser, Ewald. (2014). "On the generalizability of resting-state fMRI machine learning classifiers." Frontiers in human neuroscience. [link].

Jie, Biao & Wee, ChongYaw & Shen, Dinggang & Zhang, Daoqiang. (2016). "Hyper-connectivity of functional networks for brain disease diagnosis." Medical image analysis. [link].

Johnston, BA & Mwangi, B & Matthews, K & Coghill, D & Steele, JD. (2013). "Predictive classification of individual magnetic resonance imaging scans from children and adolescents." European child and adolescent psychiatry. [link].

Kessler, Daniel & Angstadt, Michael & Welsh, Robert C & Sripada, Chandra. (2014). "Modality-spanning deficits in attention-deficit/hyperactivity disorder in functional networks, gray matter, and white matter." Journal of Neuroscience. [link].

Kong, Xiangnan & Yu, Philip S & Wang, Xue & Ragin, Ann B. (2013). Discriminative feature selection for uncertain graph classification. [link].

Kong, Xiangzhen & Zhen, Zonglei & Li, Xueting & Lu, Huanhua & Wang, Ruosi & Liu, Ling & He, Yong & Zang, Yufeng & Liu, Jia. (2014). "Individual differences in impulsivity predict head motion during magnetic resonance imaging." PLoS One. [link].

Kyeong, Sunghyon & Park, Seonjeong & Cheon, KeunAh & Kim, JaeJin & Song, DongHo & Kim, Eunjoo. (2015). "A new approach to investigate the association between brain functional connectivity and disease characteristics of attention-deficit/hyperactivity disorder: …." PloS one. [link].

Lee, Jung Min & Kyeong, Sunghyun & Kim, Eunjoo & Cheon, KeunAh. (2016). "Abnormalities of inter-and intra-hemispheric functional connectivity in autism spectrum disorders: a study using the autism brain imaging data exchange …." Frontiers in neuroscience. [link].

Levmana, Jacob & Takahashia, Emi. (2015). NeuroImage: Clinical. [link].

Li, C & Tian, L. (2014). "Association between resting-state coactivation in the parieto-frontal network and intelligence during late childhood and adolescence." American Journal of Neuroradiology. [link].

Li, Lexin & Zhang, Xin. (2016). "Parsimonious tensor response regression." Journal of the American Statistical Association. [link].

Lim, Lena & Marquand, Andre & Cubillo, Ana A & Smith, Anna B & Chantiluke, Kaylita & Simmons, Andrew & Mehta, Mitul & Rubia, Katya. (2013). "Disorder-specific predictive classification of adolescents with attention deficit hyperactivity disorder (ADHD) relative to autism using structural magnetic …." PLoS One. [link].

Lin, Lizhen & St Thomas, Brian & Zhu, Hongtu & Dunson, David B. (2016). "Extrinsic local regression on manifold-valued data." Journal of the American Statistical Association. [link].

Liu, Mingxia & Du, Junqiang & Jie, Biao & Zhang, Daoqiang. (2016). Ordinal Patterns for Connectivity Networks in Brain Disease Diagnosis. [link].

Mahanand, BS & Savitha, Ramaswamy & Suresh, Sundaram. (2013). Computer aided diagnosis of ADHD using brain magnetic resonance images. [link].

Mennes, Maarten & Jenkinson, Mark & Valabregue, Romain & Buitelaar, Jan K & Beckmann, Christian & Smith, Stephen. (2014). "Optimizing full-brain coverage in human brain MRI through population distributions of brain size." NeuroImage. [link].

Mesmoudi, Salma & Perlbarg, Vincent & Rudrauf, David & Messe, Arnaud & Pinsard, Basile & Hasboun, Dominique & Cioli, Claudia & Marrelec, Guillaume & Toro, Roberto & Benali, Habib & others. (2013). "Resting state networks' corticotopy: the dual intertwined rings architecture." PLoS One. [link].

Milham, Michael P & Fair, Damien & Mennes, Maarten & Mostofsky, Stewart HMD & others. (2012). "The ADHD-200 consortium: a model to advance the translational potential of neuroimaging in clinical neuroscience." Frontiers in systems neuroscience. [link].

Mills, Kathryn L & Bathula, Deepti & Dias, Taciana G Costa & Iyer, Swathi P & Fenesy, Michelle C & Musser, Erica D & Stevens, Corinne A & Thurlow, Bria L & Carpenter, Samuel D & Nagel, Bonnie J & others. (2012). "Altered cortico-striatal–thalamic connectivity in relation to spatial working memory capacity in children with ADHD." Magnetic resonance imaging of disturbed brain connectivity in psychiatric illness. [link].

Miranda, Michelle F & Zhu, Hongtu & Ibrahim, Joseph G. (2013). "Bayesian spatial transformation models with applications in neuroimaging data." Biometrics. [link].

Mohammadi, Farnaz & Rostami, Mohammad & Khosrowabadi, Reza & Pouretemad, Hamidreza. (2015). "Pattern Discovery of ADHD Disorder Using Graph Theory on Task-Free fMRI Data." Journal of Multidisciplinary Engineering Science and Technology (JMEST) Vol. [link].

Munir, Kamran & Ahmad, Khawar Hasham & McClatchey, Richard. (2015). "Development of a large-scale neuroimages and clinical variables data atlas in the neuGRID4You (N4U) project." Journal of biomedical informatics. [link].

Nebel, Mary Beth & Eloyan, Ani & Barber, Anita D & Mostofsky, Stewart H. (2014). "Precentral gyrus functional connectivity signatures of autism." Frontiers in systems neuroscience. [link].

Nielsen, Jared A & Zielinski, Brandon A & Ferguson, Michael A & Lainhart, Janet E & Anderson, Jeffrey S. (2013). "An evaluation of the left-brain vs. right-brain hypothesis with resting state functional connectivity magnetic resonance imaging." PloS one. [link].

Nielsen, Jared A & Zielinski, Brandon A & Fletcher, P Thomas & Alexander, Andrew L & Lange, Nicholas & Bigler, Erin D & Lainhart, Janet E & Anderson, Jeffrey S. (2013). Multisite functional connectivity MRI classification of autism: ABIDE results. [link].

Nielsen, Jared A & Zielinski, Brandon A & Fletcher, P Thomas & Alexander, Andrew L & Lange, Nicholas & Bigler, Erin D & Lainhart, Janet E & Anderson, Jeffrey S. (2014). "Abnormal lateralization of functional connectivity between language and default mode regions in autism." Molecular autism. [link].

Olivetti, Emanuele & Greiner, Susanne & Avesani, Paolo. (2012). "ADHD diagnosis from multiple data sources with batch effects." Frontiers in systems neuroscience. [link].

Olivetti, Emanuele & Greiner, Susanne & Avesani, Paolo. (2015). "Statistical independence for the evaluation of classifier-based diagnosis." Brain Informatics. [link].

Panta, Sandeep R & Wang, Runtang & Fries, Jill & Kalyanam, Ravi & Speer, Nicole & Banich, Marie & Kiehl, Kent & King, Margaret & Milham, Michael & Wager, Tor D & others. (2016). "A Tool for Interactive Data Visualization: Application to Over 10,000 Brain Imaging and Phantom MRI Data Sets." Frontiers in neuroinformatics. [link].

Pardoe, Heath R & Hiess, Rebecca Kucharsky & Kuzniecky, Ruben. (2016). "Motion and morphometry in clinical and nonclinical populations." Neuroimage. [link].

Park, Boyong & Hong, Jisu & Lee, SeungHak & Park, Hyunjin. (2016). "Functional connectivity of child and adolescent attention deficit hyperactivity disorder patients: correlation with IQ." Frontiers in Human Neuroscience. [link].

Peng, Xiaolong & Lin, Pan & Zhang, Tongsheng & Wang, Jue. (2013). "Extreme learning machine-based classification of ADHD using brain structural MRI data." PloS one. [link].

Pruim, Raimon HR & Mennes, Maarten & Buitelaar, Jan K & Beckmann, Christian F. (2015). "Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI." Neuroimage. [link].

Qiu, Huitong & Han, Fang & Liu, Han & Caffo, Brian. (2016). "Joint estimation of multiple graphical models from high dimensional time series." Journal of the Royal Statistical Society: Series B (Statistical Methodology). [link].

Qureshi, Muhammad Naveed Iqbal & Min, Beomjun & Jo, Hang Joon & Lee, Boreom. (2016). "Multiclass classification for the differential diagnosis on the ADHD subtypes using recursive feature elimination and hierarchical extreme learning machine: …." PLoS One. [link].

Reiss, P & Huo, L & Ogden, R & Zhao, Y & Kelly, C. (2013). "Wavelet-domain methods for scalar-on-image regression." UR L http://works. bepress. com/phil\_reiss/29.

Reiss, Philip T. (2015). "Cross-validation and hypothesis testing in neuroimaging: An irenic comment on the exchange between Friston and Lindquist et al." NeuroImage. [link].

Reiss, Philip T & Huo, Lan & Zhao, Yihong & Kelly, Clare & Ogden, R Todd. (2015). "Wavelet-domain regression and predictive inference in psychiatric neuroimaging." The annals of applied statistics. [link].

Riaz, Atif & Alonso, Eduardo & Slabaugh, Greg. (2016). Phenotypic Integrated Framework for Classification of ADHD using fMRI. [link].

Risk, Benjamin B & Matteson, David S & Ruppert, David & Eloyan, Ani & Caffo, Brian S. (2014). "An evaluation of independent component analyses with an application to resting‐state fMRI." Biometrics. [link].

Rosenberg, Monica D & Finn, Emily S & Scheinost, Dustin & Papademetris, Xenophon & Shen, Xilin & Constable, R Todd & Chun, Marvin M. (2015). "A neuromarker of sustained attention from whole-brain functional connectivity." Nature neuroscience. [link].

Rubia, Katya & Alegria, Analucia & Brinson, Helen. (2014). "Imaging the ADHD brain: disorder-specificity, medication effects and clinical translation." Expert review of neurotherapeutics. [link].

Sabuncu, Mert R & Konukoglu, Ender & Alzheimers Disease Neuroimaging Initiative & others. (2015). "Clinical prediction from structural brain MRI scans: a large-scale empirical study." Neuroinformatics. [link].

Sachnev, Vasily & Suresh, Sundaram. (2016). "An ADHD Diagnostic Approach Based on Binary-Coded Genetic Algorithm and Extreme Learning Machine." Journal of Computing Science and Engineering. [link].

Sanefuji, Masafumi & Craig, Michael & Parlatini, Valeria & Mehta, Mitul A & Murphy, Declan G & Catani, Marco & Cerliani, Leonardo & de Schotten, Michel Thiebaut. (2016). "Double-dissociation between the mechanism leading to impulsivity and inattention in Attention Deficit Hyperactivity Disorder: A resting-state functional connectivity …." Cortex. [link].

Sato, Joao Ricardo & Hoexter, Marcelo Queiroz & Castellanos, Xavier Francisco & Rohde, Luis A. (2012). "Abnormal brain connectivity patterns in adults with ADHD: a coherence study." PloS one. [link].

Sato, Joao Ricardo & Hoexter, Marcelo Queiroz & Fujita, Andre & Rohde, Luis Augusto. (2012). "Evaluation of pattern recognition and feature extraction methods in ADHD prediction." Frontiers in systems neuroscience. [link].

Sato, Joao Ricardo & Takahashi, Daniel Yasumasa & Hoexter, Marcelo Queiroz & Massirer, Katlin Brauer & Fujita, Andre. (2013). "Measuring network's entropy in ADHD: A new approach to investigate neuropsychiatric disorders." NeuroImage. [link].

Shehzad, Zarrar & Kelly, Clare & Reiss, Philip T & Craddock, R Cameron & Emerson, John W & McMahon, Katie & Copland, David A & Castellanos, F Xavier & Milham, Michael P. (2014). "A multivariate distance-based analytic framework for connectome-wide association studies." Neuroimage. [link].

Sidhu, Gagan S & Asgarian, Nasimeh & Greiner, Russell & Brown, Matthew RG. (2012). "Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD." Frontiers in systems neuroscience. [link].

Sochat, Vanessa & Supekar, Kaustubh & Bustillo, Juan & Calhoun, Vince & Turner, Jessica A & Rubin, Daniel L. (2014). "A robust classifier to distinguish noise from fMRI independent components." PloS one. [link].

Sokolova, Elena & Groot, Perry & Claassen, Tom & Heskes, Tom. (2014). Causal discovery from databases with discrete and continuous variables. [link].

Sokolova, Elena & Groot, Perry & Claassen, Tom & van Hulzen, Kimm J & Glennon, Jeffrey C & Franke, Barbara & Heskes, Tom & Buitelaar, Jan. (2014). Statistical evidence that inattention drives hyperactivity/impulsivity in Attention Deficit-Hyperactivity Disorder. Causal inference from observational data. [link].

Sokolova, Elena & Groot, Perry & Claassen, Tom & van Hulzen, Kimm J & Glennon, Jeffrey C & Franke, Barbara & Heskes, Tom & Buitelaar, Jan. (2016). "Statistical evidence suggests that inattention drives hyperactivity/impulsivity in attention deficit-hyperactivity disorder." PLoS one. [link].

Sokolova, Elena & von Rhein, Daniel & Naaijen, Jilly & Groot, Perry & Claassen, Tom & Buitelaar, Jan & Heskes, Tom. (2016). "Handling hybrid and missing data in constraint-based causal discovery to study the etiology of ADHD." International Journal of Data Science and Analytics. [link].

Sripada, Chandra & Kessler, Daniel & Fang, Yu & Welsh, Robert C & Prem Kumar, Krishan & Angstadt, Michael. (2014). "Disrupted network architecture of the resting brain in attention‐deficit/hyperactivity disorder." Human brain mapping. [link].

Subramanian, Kartick & Das, Ankit Kumar & Sundaram, Suresh & Ramasamy, Savitha. (2014). "A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm." Evolving Systems. [link].

Tagliazucchi, Enzo & Laufs, Helmut. (2014). "Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep." Neuron. [link].

Takahashi, DY & Sato, JR & Ferreira, CE & Fujita, A. (2012). Discriminating Different Classes of Biological Networks by Analyzing the Graphs Spectra. [link].

Takahashi, Daniel Yasumasa & Sato, Joao Ricardo & Ferreira, Carlos Eduardo & Fujita, Andre. (2012). "Discriminating different classes of biological networks by analyzing the graphs spectra distribution." PloS one. [link].

Tan, Kean Ming & Ning, Yang & Witten, Daniela M & Liu, Han. (2016). "Replicates in high dimensions, with applications to latent variable graphical models." Biometrika. [link].

Tomasi, Dardo & Volkow, Nora D. (2012). "Abnormal functional connectivity in children with attention-deficit/hyperactivity disorder." Biological psychiatry. [link].

Tomasi, Dardo & Volkow, Nora D. (2012). "Functional connectivity of substantia nigra and ventral tegmental area: maturation during adolescence and effects of ADHD." Cerebral Cortex. [link].

Tomasi, Dardo & Volkow, Nora D. (2014). "Mapping small-world properties through development in the human brain: disruption in schizophrenia." PloS one. [link].

Torres, EB & Denisova, K. (2016). "Motor noise is rich signal in autism research and pharmacological treatments." Scientific Reports. [link].

Torres, Elizabeth B. (2016). Rethinking the study of volition for clinical use. [link].

Valizadeh, SA & Hanggi, J & Merillat, S & Jancke, L. (2017). "Age prediction on the basis of brain anatomical measures." Human Brain Mapping. [link].

Wang, Jieqiong & Li, Wenjing & Miao, Wen & Dai, Dai & Hua, Jing & He, Huiguang. (2014). "Age estimation using cortical surface pattern combining thickness with curvatures." Medical and biological engineering and computing. [link].

Wang, Lei & Li, Danping & He, Tiancheng & Wong, Stephen TC & Xue, Zhong. (2016). Transductive Maximum Margin Classification of ADHD Using Resting State fMRI. [link].

Wang, XunHeng & Jiao, Yun & Li, Lihua & Ding, Zhongxiang. (2016). "Abnormal developmental trajectories of amplitude of low frequency fluctuations within intrinsic connectivity networks for school-age boys with ADHD." Neuropsychiatry (London). [link].

Wang, XunHeng & Li, Lihua. (2015). "Altered temporal features of intrinsic connectivity networks in boys with combined type of attention deficit hyperactivity disorder." European journal of radiology. [link].

Wang, Xunheng & Jiao, Yun & Tang, Tianyu & Wang, Hui & Lu, Zuhong. (2013). "Altered regional homogeneity patterns in adults with attention-deficit hyperactivity disorder." European journal of radiology. [link].

Watanabe, Takanori & Kessler, Daniel & Scott, Clayton & Angstadt, Michael & Sripada, Chandra. (2014). "Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine." Neuroimage. [link].

Webb, J Taylor & Ferguson, Michael A & Nielsen, Jared A & Anderson, Jeffrey S. (2013). "BOLD Granger causality reflects vascular anatomy." PloS one. [link].

Wu, Ying Nian & Brown, Jesse A & Cohen, Mark S. (20). 2 Non-negative matrix factorization of multimodal MRI, fMRI and 3 phenotypic data reveals differential changes in default mode 4 subnetworks in ADHD. [link].

Wyciszkiewicz, Aleksandra & Pawlak, Mikolaj A. (2014). "Basal ganglia volumes: MR-derived reference ranges and lateralization indices for children and young adults." The neuroradiology journal. [link].

Wyciszkiewicz, Aleksandra & Pawlak, Mikolaj A & Krawiec, Krzysztof. (2016). "Cerebellar Volume in Children With Attention-Deficit Hyperactivity Disorder (ADHD) Replication Study." Journal of Child Neurology. [link].

Yahata, Noriaki & Kasai, Kiyoto & Kawato, Mitsuo. (2016). "Computational neuroscience approach to biomarkers and treatments for mental disorders." Psychiatry and Clinical Neurosciences. [link].

Yahata, Noriaki & Morimoto, Jun & Hashimoto, Ryuichiro & Lisi, Giuseppe & Shibata, Kazuhisa & Kawakubo, Yuki & Kuwabara, Hitoshi & Kuroda, Miho & Yamada, Takashi & Megumi, Fukuda & others. (2016). "A small number of abnormal brain connections predicts adult autism spectrum disorder." Nature communications. [link].

Yan, ChaoGan & Cheung, Brian & Kelly, Clare & Colcombe, Stan & Craddock, R Cameron & Di Martino, Adriana & Li, Qingyang & Zuo, XiNian & Castellanos, F Xavier & Milham, Michael P. (2013). "A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics." Neuroimage. [link].

Yan, ChaoGan & Wang, XinDi & Zuo, XiNian & Zang, YuFeng. (2016). "DPABI: data processing & analysis for (resting-state) brain imaging." Neuroinformatics. [link].

Yang, Sen & Lu, Zhaosong & Shen, Xiaotong & Wonka, Peter & Ye, Jieping. (2015). "Fused multiple graphical lasso." SIAM Journal on Optimization. [link].

Yao, Fang & SueChee, Shivon & Wang, Fan. (2017). "Regularized partially functional quantile regression." Journal of Multivariate Analysis. [link].

Yu, Dengdeng & Kong, Linglong & Mizera, Ivan. (2016). "Partial functional linear quantile regression for neuroimaging data analysis." Neurocomputing. [link].

Zhang, Jianjia & Zhou, Luping & Wang, Lei. (2017). "Subject-adaptive Integration of Multiple SICE Brain Networks with Different Sparsity." Pattern Recognition. [link].

Zhang, Jie & Kendrick, Keith M & Lu, Guangming & Feng, Jianfeng. (2014). "The fault lies on the other side: Altered brain functional connectivity in psychiatric disorders is mainly caused by counterpart regions in the opposite hemisphere." Cerebral Cortex. [link].

Zhao, Yihong & Chen, Huaihou & Ogden, R Todd. (2015). "Wavelet-based weighted LASSO and screening approaches in functional linear regression." Journal of Computational and Graphical Statistics. [link].

Zhou, Hua & Li, Lexin & Zhu, Hongtu. (2013). "Tensor regression with applications in neuroimaging data analysis." Journal of the American Statistical Association. [link].

Zhu, Hongtu & Fan, Jianqing & Kong, Linglong. (2014). "Spatially varying coefficient model for neuroimaging data with jump discontinuities." Journal of the American Statistical Association. [link].

dos Santos Siqueira, Anderson & Biazoli Junior, Claudinei Eduardo & Comfort, William Edgar & Rohde, Luis Augusto & Sato, Joao Ricardo. (2014). "Abnormal functional resting-state networks in ADHD: graph theory and pattern recognition analysis of fMRI data." BioMed research international. [link].

谭颖 & 张涛 & 谭睿 & 沈小涛 & 校景中. (2015). "基于小波变换与 SVM 的 ADHD 病人分类." 电子科技大学学报. [link].

Peer-reviewed journal articles that used NKI-Rockland data

Airan, Raag D & Vogelstein, Joshua T & Pillai, Jay J & Caffo, Brian & Pekar, James J & Sair, Haris I. (2016). "Factors affecting characterization and localization of interindividual differences in functional connectivity using MRI." Human brain mapping. [link].

Basu, Anna P & Taylor, Peter Neal & Lowther, Eva & Forsyth, Elizabeth O & Blamire, Andrew M & Forsyth, Rob J. (2015). "Structural connectivity in a paediatric case of anarchic hand syndrome." BMC neurology. [link].

Betzel, Richard F & AvenaKoenigsberger, Andrea & Goni, Joaquin & He, Ye & De Reus, Marcel A & Griffa, Alessandra & Vertes, Petra E & Mivsic, Bratislav & Thiran, JeanPhilippe & Hagmann, Patric & others. (2016). "Generative models of the human connectome." Neuroimage. [link].

Betzel, Richard F & Byrge, Lisa & He, Ye & Goni, Joaquin & Zuo, XiNian & Sporns, Olaf. (2014). "Changes in structural and functional connectivity among resting-state networks across the human lifespan." Neuroimage. [link].

Betzel, Richard F & Fukushima, Makoto & He, Ye & Zuo, XiNian & Sporns, Olaf. (2016). "Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks." NeuroImage. [link].

Bhushan, Chitresh & Haldar, Justin P & Choi, Soyoung & Joshi, Anand A & Shattuck, David W & Leahy, Richard M. (2015). "Co-registration and distortion correction of diffusion and anatomical images based on inverse contrast normalization." NeuroImage. [link].

Bottger, Joachim & Schurade, Ralph & Jakobsen, Estrid & Schaefer, Alexander & Margulies, Daniel S. (2014). "Connexel visualization: a software implementation of glyphs and edge-bundling for dense connectivity data using brainGL." Frontiers in neuroscience. [link].

Brown, Jesse A & Rudie, Jeffrey D & Bandrowski, Anita & Van Horn, John D & Bookheimer, Susan Y. (2012). "The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis." Frontiers in neuroinformatics. [link].

Burroni, Javier & Taylor, P & Corey, Cassian & Vachnadze, Tengiz & Siegelmann, Hava T. (2017). "Energetic Constraints Produce Self-sustained Oscillatory Dynamics in Neuronal Networks." Frontiers in Neuroscience. [link].

Bzdok, Danilo & Hartwigsen, Gesa & Reid, Andrew & Laird, Angela R & Fox, Peter T & Eickhoff, Simon B. (2016). "Left inferior parietal lobe engagement in social cognition and language." Neuroscience and Biobehavioral Reviews. [link].

Bzdok, Danilo & Langner, Robert & Schilbach, Leonhard & Engemann, Denis A & Laird, Angela R & Fox, Peter T & Eickhoff, Simon. (2013). "Segregation of the human medial prefrontal cortex in social cognition." Frontiers in human neuroscience. [link].

Camilleri, Julia A & Reid, Andrew T & Muller, Veronika I & Grefkes, Christian & Amunts, Katrin & Eickhoff, Simon B. (2015). "Multi-modal imaging of neural correlates of motor speed performance in the trail making test." Frontiers in neurology. [link].

Cao, Miao & Wang, JinHui & Dai, ZhengJia & Cao, XiaoYan & Jiang, LiLi & Fan, FengMei & Song, XiaoWei & Xia, MingRui & Shu, Ni & Dong, Qi & others. (2013). Developmental Cognitive Neuroscience. [link].

Cao, Miao & Wang, JinHui & Dai, ZhengJia & Cao, XiaoYan & Jiang, LiLi & Fan, FengMei & Song, XiaoWei & Xia, MingRui & Shu, Ni & Dong, Qi & others. (2014). "Topological organization of the human brain functional connectome across the lifespan." Developmental cognitive neuroscience. [link].

Chase, Henry W & Clos, Mareike & Dibble, Sofia & Fox, Peter & Grace, Anthony A & Phillips, Mary L & Eickhoff, Simon B. (2015). "Evidence for an anterior–posterior differentiation in the human hippocampal formation revealed by meta-analytic parcellation of fMRI coordinate maps: Focus on the …." NeuroImage. [link].

Chen, Huaihou & Kelly, Clare & Castellanos, F Xavier & He, Ye & Zuo, XiNian & Reiss, Philip T. (2015). "Quantile rank maps: A new tool for understanding individual brain development." NeuroImage. [link].

Chen, Rong & Nixon, Erika & Herskovits, Edward. (2016). "Advanced connectivity analysis (ACA): a large scale functional connectivity data mining environment." Neuroinformatics. [link].

Chen, Shuo & Kang, Jian & Wang, Guoqing. (2015). "An empirical Bayes normalization method for connectivity metrics in resting state fMRI." Frontiers in neuroscience. [link].

Chodkowski, BettyAnn A & Cowan, Ronald L & Niswender, Kevin D. (2016). "Imbalance in resting state functional connectivity is associated with eating behaviors and adiposity in children." Heliyon. [link].

Cieslik, Edna C & Seidler, Isabelle & Laird, Angela R & Fox, Peter T. (2015). "Different involvement of subregions within dorsal premotor and medial." Psychophysiology. [link].

Cieslik, Edna C & Seidler, Isabelle & Laird, Angela R & Fox, Peter T & Eickhoff, Simon B. (2016). "Different involvement of subregions within dorsal premotor and medial frontal cortex for pro-and antisaccades." Neuroscience and Biobehavioral Reviews. [link].

Clewett, D & Bachman, S & Mather, M. (20). "Age-related reduced prefrontal-amygdala structural connectivity is associated with lower trait anxiety. Neuropsychology. Author Note This research was …." Running head: TRAIT ANXIETY and AMYGDALA STRUCTURAL CONNECTIVITY. [link].

Clos, Mareike & Amunts, Katrin & Laird, Angela R & Fox, Peter T & Eickhoff, Simon B. (2013). "Tackling the multifunctional nature of Broca's region meta-analytically: co-activation-based parcellation of area 44." Neuroimage. [link].

Clos, Mareike & Rottschy, Claudia & Laird, Angela R & Fox, Peter T & Eickhoff, Simon B. (2014). "Comparison of structural covariance with functional connectivity approaches exemplified by an investigation of the left anterior insula." NeuroImage. [link].

Corcoran, CM & Keilp, JG & Kayser, J & Klim, C & Butler, PD & Bruder, GE & Gur, RC & Javitt, DC. (2015). "Emotion recognition deficits as predictors of transition in individuals at clinical high risk for schizophrenia: a neurodevelopmental perspective." Psychological medicine. [link].

Crimi, Alessandro & Dodero, Luca & Murino, Vittorio & Sona, Diego. (2016). Effective Brain Connectivity Through a Constrained Autoregressive Model. [link].

Davey, James & Cornelissen, Piers L & Thompson, Hannah E & Sonkusare, Saurabh & Hallam, Glyn & Smallwood, Jonathan & Jefferies, Elizabeth. (2015). "Automatic and controlled semantic retrieval: TMS reveals distinct contributions of posterior middle temporal gyrus and angular gyrus." Journal of neuroscience. [link].

Davey, James & Thompson, Hannah E & Hallam, Glyn & Karapanagiotidis, Theodoros & Murphy, Charlotte & De Caso, Irene & KriegerRedwood, Katya & Bernhardt, Boris C & Smallwood, Jonathan & Jefferies, Elizabeth. (2016). "Exploring the role of the posterior middle temporal gyrus in semantic cognition: Integration of anterior temporal lobe with executive processes." NeuroImage. [link].

Di, Xin & Biswal, Bharat B. (2015). "Characterizations of resting-state modulatory interactions in the human brain." Journal of neurophysiology. [link].

Di, Xin & Fu, Zening & Chan, Shing Chow & Hung, Yeung Sam & Biswal, Bharat B & Zhang, Zhiguo. (2014). "Task-related functional connectivity dynamics in a block-designed visual experiment." Frontiers in human neuroscience. [link].

Di, Xin & Gohel, Suril & Kim, Eun H & Biswal, Bharat B. (2013). Task vs. rest—different network configurations between the coactivation and the resting-state brain networks. [link].

Di, Xin & Reynolds, Richard C & Biswal, Bharat B. (2016). "Imperfect (de) convolution may introduce spurious psychophysiological interactions and how to avoid it." Human Brain Mapping. [link].

Dogan, Imis & Eickhoff, Claudia R & Fox, Peter T & Laird, Angela R & Schulz, Jorg B & Eickhoff, Simon B & Reetz, Kathrin. (2015). "Functional connectivity modeling of consistent cortico-striatal degeneration in Huntington's disease." NeuroImage: Clinical. [link].

Eickhoff, Simon B & Laird, Angela R & Fox, Peter T & Bzdok, Danilo & Hensel, Lukas. (2016). "Functional segregation of the human dorsomedial prefrontal cortex." Cerebral cortex. [link].

Geha, Paul & Cecchi, Guillermo & Todd Constable, R & Abdallah, Chadi & Small, Dana M. (2016). "Reorganization of brain connectivity in obesity." Human Brain Mapping. [link].

Genon, Sarah & Reid, Andrew & Li, Hai & Fan, Lingzhong & Muller, Veronika I & Cieslik, Edna C & Hoffstaedter, Felix & Langner, Robert & Grefkes, Christian & Laird, Angela R & others. (2017). "The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization." NeuroImage. [link].

Gohel, Suril R & Biswal, Bharat B. (2015). "Functional integration between brain regions at rest occurs in multiple-frequency bands." Brain connectivity. [link].

Golchert, Johannes & Smallwood, Jonathan & Jefferies, Elizabeth & Liem, Franziskus & Huntenburg, Julia M & Falkiewicz, Marcel & Lauckner, Mark E & Oligschlager, Sabine & Villringer, Arno & Margulies, Daniel S. (2016). "In need of constraint: Understanding the role of the cingulate cortex in the impulsive mind." NeuroImage. [link].

Golchert, Johannes & Smallwood, Jonathan & Jefferies, Elizabeth & Seli, Paul & Huntenburg, Julia M & Liem, Franziskus & Lauckner, Mark E & Oligschlager, Sabine & Bernhardt, Boris C & Villringer, Arno & others. (2017). "Individual variation in intentionality in the mind-wandering state is reflected in the integration of the default-mode, fronto-parietal, and limbic networks." NeuroImage. [link].

Gorgolewski, KJ & Lurie, D & Urchs, S & Kipping, JA & Craddock, RC & others. (2014). A Correspondence between Individual Differences in the Brain's Intrinsic. [link].

Gorgolewski, Krzysztof J & Lurie, Dan & Urchs, Sebastian & Kipping, Judy A & Craddock, R Cameron & Milham, Michael P & Margulies, Daniel S & Smallwood, Jonathan. (2014). "A correspondence between individual differences in the brain's intrinsic functional architecture and the content and form of self-generated thoughts." PloS one. [link].

Grandy, Thomas H & Garrett, Douglas D & Schmiedek, Florian & WerkleBergner, Markus. (2016). "On the estimation of brain signal entropy from sparse neuroimaging data." Scientific reports. [link].

Hardwick, Robert M & Lesage, Elise & Eickhoff, Claudia R & Clos, Mareike & Fox, Peter & Eickhoff, Simon B. (2015). "Multimodal connectivity of motor learning-related dorsal premotor cortex." NeuroImage. [link].

He, Ye & Xu, Ting & Zhang, Wei & Zuo, XiNian. (2015). "Lifespan anxiety is reflected in human amygdala cortical connectivity." Human brain mapping. [link].

Hilger, Kirsten & Ekman, Matthias & Fiebach, Christian J & Basten, Ulrike. (2017). "Efficient hubs in the intelligent brain: Nodal efficiency of hub regions in the salience network is associated with general intelligence." Intelligence. [link].

Hok, Pavel & Opavsky, Robert & Hluvstik, Petr & Tudos, Zbynvek. (2015). "29. Meta-analytic and resting-state functional connectivity of the claustrum." Clinical Neurophysiology. [link].

Horn, Andreas & Blankenburg, Felix. (2016). "Toward a standardized structural–functional group connectome in MNI space." NeuroImage. [link].

Huo, Yuankai & Aboud, Katherine & Kang, Hakmook & Cutting, Laurie E & Landman, Bennett A. (2016). Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI. [link].

Jakab, Andras & Blanc, Remi & Berenyi, Ervin L. (2012). "Mapping changes of in vivo connectivity patterns in the human mediodorsal thalamus: correlations with higher cognitive and executive functions." Brain imaging and behavior. [link].

Jakab, Andras & Emri, Miklos & Spisak, Tamas & SzemanNagy, Anita & Beres, Monika & Kis, Sandor Attila & Molnar, Peter & Berenyi, Ervin. (2013). "Autistic traits in neurotypical adults: correlates of graph theoretical functional network topology and white matter anisotropy patterns." PloS one. [link].

Jakobsen, Estrid & Liem, Franziskus & Klados, Manousos A & Bayrak, cSeyma & Petrides, Michael & Margulies, Daniel S. (2016). "Automated individual-level parcellation of Broca's region based on functional connectivity." NeuroImage. [link].

Jiang, Lili & Xu, Ting & He, Ye & Hou, XiaoHui & Wang, Jinhui & Cao, XiaoYan & Wei, GaoXia & Yang, Zhi & He, Yong & Zuo, XiNian. (2015). "Toward neurobiological characterization of functional homogeneity in the human cortex: regional variation, morphological association and functional covariance …." Brain Structure and Function. [link].

Jiang, Lili & Zuo, XiNian. (2016). "Regional homogeneity: a multimodal, multiscale neuroimaging marker of the human connectome." The Neuroscientist. [link].

Kandel, Benjamin M & van Strien, Niels & Stone, James R & Gee, James C & Avants, Brian B. (20). "Large-scale evaluation of ANTs and FreeSurfer cortical 2 thickness measurements☆." Lateral. [link].

Karapanagiotidis, Theodoros & Bernhardt, Boris C & Jefferies, Elizabeth & Smallwood, Jonathan. (2017). "Tracking thoughts: Exploring the neural architecture of mental time travel during mind-wandering." NeuroImage. [link].

Kerestes, Rebecca & Chase, Henry W & Phillips, Mary L & Ladouceur, Cecile D & Eickhoff, Simon B. (2017). "Multimodal evaluation of the amygdala's functional connectivity." NeuroImage. [link].

Klein, Arno & Tourville, Jason. (2012). "101 labeled brain images and a consistent human cortical labeling protocol." Frontiers in neuroscience. [link].

KriegerRedwood, Katya & Jefferies, Elizabeth & Karapanagiotidis, Theodoros & Seymour, Robert & Nunes, Adonany & Ang, Jit Wei Aaron & Majernikova, Vierra & Mollo, Giovanna & Smallwood, Jonathan. (2016). "Down but not out in posterior cingulate cortex: Deactivation yet functional coupling with prefrontal cortex during demanding semantic cognition." Neuroimage. [link].

Laird, Angela R & Eickhoff, Simon B & Rottschy, Claudia & Bzdok, Danilo & Ray, Kimberly L & Fox, Peter T. (2013). "Networks of task co-activations." Neuroimage. [link].

Lavagnino, Luca & Mwangi, Benson & Bauer, Isabelle E & Cao, Bo & Selvaraj, Sudhakar & Prossin, Alan & Soares, Jair C. (2016). "Reduced Inhibitory Control Mediates the Relationship Between Cortical Thickness in the Right Superior Frontal Gyrus and Body Mass Index." Neuropsychopharmacology. [link].

Li, Qiaojun & Song, Ming & Fan, Lingzhong & Liu, Yong & Jiang, Tianzi. (2015). "Parcellation of the primary cerebral cortices based on local connectivity profiles." Frontiers in neuroanatomy. [link].

Liao, Xuhong & Yuan, Lin & Zhao, Tengda & Dai, Zhengjia & Shu, Ni & Xia, Mingrui & Yang, Yihong & Evans, Alan & He, Yong. (2015). "Spontaneous functional network dynamics and associated structural substrates in the human brain." Frontiers in human neuroscience. [link].

Liem, Franziskus & Varoquaux, Gael & Kynast, Jana & Beyer, Frauke & Masouleh, Shahrzad Kharabian & Huntenburg, Julia M & Lampe, Leonie & Rahim, Mehdi & Abraham, Alexandre & Craddock, R Cameron & others. (2016). "Predicting brain-age from multimodal imaging data captures cognitive impairment." NeuroImage. [link].

Lo, YiPing & ODea, Reuben & Crofts, Jonathan J & Han, Cheol E & Kaiser, Marcus. (2015). "A geometric network model of intrinsic grey-matter connectivity of the human brain." Scientific reports. [link].

Luo, Qiang & Lu, Wenlian & Cheng, Wei & ValdesSosa, Pedro A & Wen, Xiaotong & Ding, Mingzhou & Feng, Jianfeng. (2013). "Spatio-temporal Granger causality: A new framework." NeuroImage. [link].

MIYATI, Tosiaki & YAMASUE, Hidenori & TAKEDA, Tohoru. (2016). "Head motion and correction methods in resting-state functional MRI." Magnetic Resonance in Medical Sciences. [link].

Mallela, Arka N & Peck, Kyung K & PetrovichBrennan, Nicole M & Zhang, Zhigang & Lou, William & Holodny, Andrei I. (2016). "Altered Resting-State Functional Connectivity in the Hand Motor Network in Glioma Patients." Brain Connectivity. [link].

Malpas, Charles B & Genc, Sila & Saling, Michael M & Velakoulis, Dennis & Desmond, Patricia M & OBrien, Terence J. (2016). "MRI correlates of general intelligence in neurotypical adults." Journal of Clinical Neuroscience. [link].

Mao, Dewang & Ding, Zhongxiang & Jia, Wenbin & Liao, Wei & Li, Xun & Huang, Huiyuan & Yuan, Jianhua & Zang, YuFeng & Zhang, Han. (2015). "Low-frequency fluctuations of the resting brain: high magnitude does not equal high reliability." PloS one. [link].

McDonald, Amalia R & Muraskin, Jordan & Van Dam, Nicholas T & Froehlich, Caroline & Puccio, Benjamin & Pellman, John & Bauer, Clemens CC & Akeyson, Alexis & Breland, Melissa M & Calhoun, Vince D & others. (2017). "The real-time fMRI neurofeedback based stratification of Default Network Regulation Neuroimaging data repository." NeuroImage. [link].

Mennes, Maarten & Jenkinson, Mark & Valabregue, Romain & Buitelaar, Jan K & Beckmann, Christian & Smith, Stephen. (2014). "Optimizing full-brain coverage in human brain MRI through population distributions of brain size." NeuroImage. [link].

Mesmoudi, Salma & Perlbarg, Vincent & Rudrauf, David & Messe, Arnaud & Pinsard, Basile & Hasboun, Dominique & Cioli, Claudia & Marrelec, Guillaume & Toro, Roberto & Benali, Habib & others. (2013). "Resting state networks' corticotopy: the dual intertwined rings architecture." PLoS One. [link].

Muller, Veronika I & Cieslik, Edna C & Laird, Angela R & Fox, Peter T & Eickhoff, Simon B. (2013). Dysregulated left inferior parietal activity in schizophrenia and depression: functional connectivity and characterization. [link].

Murray, Ryan J & Debbane, Martin & Fox, Peter T & Bzdok, Danilo & Eickhoff, Simon B. (2015). "Functional connectivity mapping of regions associated with self‐and other‐processing." Human brain mapping. [link].

Mwangi, Benson & Hasan, Khader M & Soares, Jair C. (2013). "Prediction of individual subject's age across the human lifespan using diffusion tensor imaging: a machine learning approach." Neuroimage. [link].

Nakamura, Yuko & Ikuta, Toshikazu. (2017). "Caudate-Precuneus functional connectivity is associated with obesity preventive eating tendency." Brain Connectivity. [link].

NicklJockschat, Thomas & Rottschy, Claudia & Thommes, Johanna & Schneider, Frank & Laird, Angela R & Fox, Peter T & Eickhoff, Simon B. (2015). "Neural networks related to dysfunctional face processing in autism spectrum disorder." Brain Structure and Function. [link].

OMuircheartaigh, Jonathan & Keller, Simon S & Barker, Gareth J & Richardson, Mark P. (2015). "White matter connectivity of the thalamus delineates the functional architecture of competing thalamocortical systems." Cerebral Cortex. [link].

Oler, Jonathan A & Birn, Rasmus M & Patriat, Remi & Fox, Andrew S & Shelton, Steven E & Burghy, Cory A & Stodola, Diane E & Essex, Marilyn J & Davidson, Richard J & Kalin, Ned H. (2012). "Evidence for coordinated functional activity within the extended amygdala of non-human and human primates." Neuroimage. [link].

Panta, Sandeep R & Wang, Runtang & Fries, Jill & Kalyanam, Ravi & Speer, Nicole & Banich, Marie & Kiehl, Kent & King, Margaret & Milham, Michael & Wager, Tor D & others. (2016). "A Tool for Interactive Data Visualization: Application to Over 10,000 Brain Imaging and Phantom MRI Data Sets." Frontiers in neuroinformatics. [link].

Park, Boyong & Seo, Jongbum & Park, Hyunjin. (2016). "Functional brain networks associated with eating behaviors in obesity." Scientific reports. [link].

Potvin, Olivier & Mouiha, Abderazzak & Dieumegarde, Louis & Duchesne, Simon & Alzheimers Disease Neuroimaging Initiative & others. (2016). "Normative data for subcortical regional volumes over the lifetime of the adult human brain." NeuroImage. [link].

Puccio, Benjamin & Pooley, James P & Pellman, John S & Taverna, Elise C & Craddock, R Cameron. (2016). "The preprocessed connectomes project repository of manually corrected skull-stripped T1-weighted anatomical MRI data." GigaScience. [link].

Qin, Jian & Chen, ShanGuang & Hu, Dewen & Zeng, LingLi & Fan, YiMing & Chen, XiaoPing & Shen, Hui. (2015). "Predicting individual brain maturity using dynamic functional connectivity." Frontiers in human neuroscience. [link].

Reetz, Kathrin & Dogan, Imis & Rolfs, Arndt & Binkofski, Ferdinand & Schulz, Jorg B & Laird, Angela R & Fox, Peter T & Eickhoff, Simon B. (2012). "Investigating function and connectivity of morphometric findings—exemplified on cerebellar atrophy in spinocerebellar ataxia 17 (SCA17)." Neuroimage. [link].

Reid, Andrew T & Bzdok, Danilo & Langner, Robert & Fox, Peter T & Laird, Angela R & Amunts, Katrin & Eickhoff, Simon B & Eickhoff, Claudia R. (2016). "Multimodal connectivity mapping of the human left anterior and posterior lateral prefrontal cortex." Brain Structure and Function. [link].

Reid, Andrew T & Hoffstaedter, Felix & Gong, Gaolang & Laird, Angela R & Fox, Peter & Evans, Alan C & Amunts, Katrin & Eickhoff, Simon B. (2016). "A seed-based cross-modal comparison of brain connectivity measures." Brain Structure and Function. [link].

Reid, Andrew T & Lewis, John & Bezgin, Gleb & Khundrakpam, Budhachandra & Eickhoff, Simon B & McIntosh, Anthony R & Bellec, Pierre & Evans, Alan C. (2016). "A cross-modal, cross-species comparison of connectivity measures in the primate brain." Neuroimage. [link].

Robinson, PA & Zhao, X & Aquino, KM & Griffiths, JD & Sarkar, S & MehtaPandejee, Grishma. (2016). "Eigenmodes of brain activity: Neural field theory predictions and comparison with experiment." NeuroImage. [link].

Santarnecchi, Emiliano & Galli, Giulia & Polizzotto, Nicola Riccardo & Rossi, Alessandro & Rossi, Simone. (2014). "Efficiency of weak brain connections support general cognitive functioning." Human brain mapping. [link].

Santarnecchi, Emiliano & Rossi, Simone & Rossi, Alessandro. (2015). "The smarter, the stronger: intelligence level correlates with brain resilience to systematic insults." Cortex. [link].

Santarnecchi, Emiliano & Tatti, Elisa & Rossi, Simone & Serino, Vinicio & Rossi, Alessandro. (2015). "Intelligence‐related differences in the asymmetry of spontaneous cerebral activity." Human brain mapping. [link].

Schaefer, Alexander & Margulies, Daniel S & Lohmann, Gabriele & Gorgolewski, Krzysztof J & Smallwood, Jonathan & Kiebel, Stefan J & Villringer, Arno. (2014). "Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI." Frontiers in human neuroscience. [link].

Shehzad, Zarrar & Kelly, Clare & Reiss, Philip T & Craddock, R Cameron & Emerson, John W & McMahon, Katie & Copland, David A & Castellanos, F Xavier & Milham, Michael P. (2014). "A multivariate distance-based analytic framework for connectome-wide association studies." Neuroimage. [link].

Shine, James M & Bissett, Patrick G & Bell, Peter T & Koyejo, Oluwasanmi & Balsters, Joshua H & Gorgolewski, Krzysztof J & Moodie, Craig A & Poldrack, Russell A. (2016). "The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance." Neuron. [link].

Singh, Soibam Shyamchand & Khundrakpam, Budhachandra & Reid, Andrew T & Lewis, John D & Evans, Alan C & Ishrat, Romana & Sharma, B Indrajit & Singh, RK Brojen. (2016). "Scaling in topological properties of brain networks." Scientific reports. [link].

Sochat, Vanessa & Supekar, Kaustubh & Bustillo, Juan & Calhoun, Vince & Turner, Jessica A & Rubin, Daniel L. (2014). "A robust classifier to distinguish noise from fMRI independent components." PloS one. [link].

Somandepalli, Krishna & Kelly, Clare & Reiss, Philip T & Zuo, XiNian & Craddock, R Cameron & Yan, ChaoGan & Petkova, Eva & Castellanos, F Xavier & Milham, Michael P & Di Martino, Adriana. (2015). "Short-term test–retest reliability of resting state fMRI metrics in children with and without attention-deficit/hyperactivity disorder." Developmental Cognitive Neuroscience. [link].

Tao, Chenyang & Feng, Jianfeng. (2016). "Nonlinear association criterion, nonlinear Granger causality and related issues with applications to neuroimage studies." Journal of neuroscience methods. [link].

Taylor, P & Hobbs, JN & Burroni, J & Siegelmann, HT. (2015). "The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions." Scientific reports. [link].

Taylor, Peter Neal & Forsyth, Rob. (2016). "Heterogeneity of trans-callosal structural connectivity and effects on resting state subnetwork integrity may underlie both wanted and unwanted effects of …." NeuroImage: Clinical. [link].

Tian, Lixia & Ma, Lin & Wang, Linlin. (2016). "Alterations of functional connectivities from early to middle adulthood: clues from multivariate pattern analysis of resting-state fMRI data." Neuroimage. [link].

Tustison, Nicholas J & Avants, Brian B & Cook, Philip A & Kim, Junghoon & Whyte, John & Gee, James C & Stone, James R. (2014). "Logical circularity in voxel‐based analysis: Normalization strategy may induce statistical bias." Human brain mapping. [link].

Tustison, Nicholas J & Cook, Philip A & Klein, Arno & Song, Gang & Das, Sandhitsu R & Duda, Jeffrey T & Kandel, Benjamin M & van Strien, Niels & Stone, James R & Gee, James C & others. (2014). "Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements." Neuroimage. [link].

Uddin, Lucina Q & Supekar, Kaustubh S & Ryali, Srikanth & Menon, Vinod. (2011). "Dynamic reconfiguration of structural and functional connectivity across core neurocognitive brain networks with development." Journal of Neuroscience. [link].

Vadovivcova, Karin. (2013). "Affective and cognitive prefrontal cortex projections to the lateral habenula in humans." Frontiers in human neuroscience. [link].

Van Dam, Nicholas T & OConnor, David & Marcelle, Enitan T & Ho, Erica J & Craddock, R Cameron & Tobe, Russell H & Gabbay, Vilma & Hudziak, James J & Castellanos, F Xavier & Leventhal, Bennett L & others. (2016). "Data-driven phenotypic categorization for neurobiological analyses: beyond DSM-5 labels." Biological Psychiatry. [link].

WANG, Xiu & YANG, Ning & HE, Ye & ZHANG, Zhe & ZHU, Xingting & DONG, Haomin & HOU, Xiaohui & LI, Huijie & ZUO, Xinian. (2014). "The developmental trajectory of hippocampus across the human lifespan based on multimodal neuroimaging." Chinese Journal of Contemporary Neurology and Neurosurgery. [link].

Wang, Haifeng & Wen, Baohong & Cheng, Jingliang & Li, Hongpeng. (2017). "Brain Structural Differences between Normal and Obese Adults and their Links with Lack of Perseverance, Negative Urgency, and Sensation Seeking." Scientific Reports. [link].

Wang, Jiaojian & Fan, Lingzhong & Wang, Yinyan & Xu, Wenting & Jiang, Tao & Fox, Peter T & Eickhoff, Simon B & Yu, Chunshui & Jiang, Tianzi. (2015). "Determination of the posterior boundary of Wernicke's area based on multimodal connectivity profiles." Human brain mapping. [link].

Wu, GuoRong & Marinazzo, Daniele. (2016). "Sensitivity of the resting-state haemodynamic response function estimation to autonomic nervous system fluctuations." Phil. Trans. R. Soc. A. [link].

Xu, Ting & Opitz, Alexander & Craddock, R Cameron & Wright, Margaret J & Zuo, XiNian & Milham, Michael P. (2016). "Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability." Cerebral Cortex. [link].

Xu, Ting & Yang, Zhi & Jiang, Lili & Xing, XiuXia & Zuo, XiNian. (2015). "A connectome computation system for discovery science of brain." Science Bulletin. [link].

Yang, Zhen & Craddock, R Cameron & Margulies, Daniel S & Yan, ChaoGan & Milham, Michael P. (2014). "Common intrinsic connectivity states among posteromedial cortex subdivisions: Insights from analysis of temporal dynamics." Neuroimage. [link].

Yang, Zhen & Craddock, R Cameron & Milham, Michael P. (2014). "Impact of hematocrit on measurements of the intrinsic brain." Frontiers in neuroscience. [link].

Yang, Zhi & Chang, Catie & Xu, Ting & Jiang, Lili & Handwerker, Daniel A & Castellanos, F Xavier & Milham, Michael P & Bandettini, Peter A & Zuo, XiNian. (2014). "Connectivity trajectory across lifespan differentiates the precuneus from the default network." Neuroimage. [link].

Yao, Lizheng & Li, Wang & Dai, Zhenyu & Dong, Congsong. (2016). "Eating behavior associated with gray matter volume alternations: A voxel based morphometry study." Appetite. [link].

Zhang, Jian & Li, Chong & Jiang, Tianzi. (2016). "New Insights into Signed Path Coefficient Granger Causality Analysis." Frontiers in neuroinformatics. [link].

Zhang, Sheng & Hu, Sien & Chao, Herta H & Li, ChiangShan R. (2015). "Resting-state functional connectivity of the locus coeruleus in humans: in comparison with the ventral tegmental area/substantia nigra pars compacta and the effects of …." Cerebral Cortex. [link].

Zhang, Sheng & Hu, Sien & Fucito, Lisa M & Luo, Xingguang & Mazure, Carolyn M & Zaborszky, Laszlo & Chiangshan, R Li. (2016). "Resting-State Functional Connectivity of the Basal Nucleus of Meynert in Cigarette Smokers: Dependence Level and Gender Differences." Nicotine and Tobacco Research. [link].

Zhao, Jizheng & Li, Mintong & Zhang, Yi & Song, Huaibo & von Deneen, Karen M & Shi, Yinggang & Liu, Yijun & He, Dongjian. (2016). "Intrinsic brain subsystem associated with dietary restraint, disinhibition and hunger: an fMRI study." Brain imaging and behavior. [link].

Zhao, Tengda & Cao, Miao & Niu, Haijing & Zuo, XiNian & Evans, Alan & He, Yong & Dong, Qi & Shu, Ni. (2015). "Age‐related changes in the topological organization of the white matter structural connectome across the human lifespan." Human brain mapping. [link].

Zhao, Yihong & Zheng, ZhiLiang & Castellanos, F Xavier. (2017). "Analysis of alcohol use disorders from the Nathan Kline Institute—Rockland Sample: Correlation of brain cortical thickness with neuroticism." Drug and Alcohol Dependence. [link].

Zhou, XQ & Chen, QC & Mao, SS & Qin, XF & Xu, XJ & Kong, YY. (2015). "ISDN2014 0096." Abstracts/Int. J. Devl Neuroscience. [link].

Zuo, XiNian & Xing, XiuXia. (2014). "Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective." Neuroscience and Biobehavioral Reviews. [link].

王秀 & 杨宁 & 何叶 & 张喆 & 朱幸婷 & 董昊铭 & 侯晓晖 & 李会杰 & 左西年 & others. (2014). "基于多模态神经影像学的人海马毕生变化曲线." 中国现代神经疾病杂志. [link].

Peer-reviewed journal articles that used CORR data

Adelstein, Jonathan S & Shehzad, Zarrar & Mennes, Maarten & DeYoung, Colin G & Zuo, XiNian & Kelly, Clare & Margulies, Daniel S & Bloomfield, Aaron & Gray, Jeremy R & Castellanos, F Xavier & others. (2011). "Personality is reflected in the brain's intrinsic functional architecture." PloS one. [link].

Bohland, Jason W & Saperstein, Sara & Pereira, Francisco & Rapin, Jeremy & Grady, Leo. (2012). "Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects." Frontiers in systems neuroscience. [link].

Chen, Bing & Xu, Ting & Zhou, Changle & Wang, Luoyu & Yang, Ning & Wang, Ze & Dong, HaoMing & Yang, Zhi & Zang, YuFeng & Zuo, XiNian & others. (2015). "Individual variability and test-retest reliability revealed by ten repeated resting-state brain scans over one month." PloS one. [link].

Cheng, Wei & Ji, Xiaoxi & Zhang, Jie & Feng, Jianfeng. (2012). "Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques." Frontiers in systems neuroscience. [link].

Cole, Michael W & Yang, Genevieve J & Murray, John D & Repovvs, Grega & Anticevic, Alan. (2016). "Functional connectivity change as shared signal dynamics." Journal of neuroscience methods. [link].

Huang, Lijie & Huang, Taicheng & Zhen, Zonglei & Liu, Jia. (2016). "A test-retest dataset for assessing long-term reliability of brain morphology and resting-state brain activity." Scientific data. [link].

Li, Kaiming & Langley, Jason & Li, Zhihao & Hu, Xiaoping P. (2015). "Connectomic Profiles for Individualized Resting State Networks and Regions of Interest." Brain connectivity. [link].

Lin, Qixiang & Dai, Zhengjia & Xia, Mingrui & Han, Zaizhu & Huang, Ruiwang & Gong, Gaolang & Liu, Chao & Bi, Yanchao & He, Yong. (2015). "A connectivity-based test-retest dataset of multi-modal magnetic resonance imaging in young healthy adults." Scientific data. [link].

Loewe, Kristian & Grueschow, Marcus & Stoppel, Christian M & Kruse, Rudolf & Borgelt, Christian. (2014). "Fast construction of voxel-level functional connectivity graphs." BMC neuroscience. [link].

McDonald, Amalia R & Muraskin, Jordan & Van Dam, Nicholas T & Froehlich, Caroline & Puccio, Benjamin & Pellman, John & Bauer, Clemens CC & Akeyson, Alexis & Breland, Melissa M & Calhoun, Vince D & others. (2017). "The real-time fMRI neurofeedback based stratification of Default Network Regulation Neuroimaging data repository." NeuroImage. [link].

Mueller, Sophia & Wang, Danhong & Fox, Michael D & Pan, Ruiqi & Lu, Jie & Li, Kuncheng & Sun, Wei & Buckner, Randy L & Liu, Hesheng. (2015). "Reliability correction for functional connectivity: Theory and implementation." Human brain mapping. [link].

Mumford, Jeanette A & Davis, Tyler & Poldrack, Russell A. (2014). "The impact of study design on pattern estimation for single-trial multivariate pattern analysis." Neuroimage. [link].

Panta, Sandeep R & Wang, Runtang & Fries, Jill & Kalyanam, Ravi & Speer, Nicole & Banich, Marie & Kiehl, Kent & King, Margaret & Milham, Michael & Wager, Tor D & others. (2016). "A Tool for Interactive Data Visualization: Application to Over 10,000 Brain Imaging and Phantom MRI Data Sets." Frontiers in neuroinformatics. [link].

Potvin, Olivier & Mouiha, Abderazzak & Dieumegarde, Louis & Duchesne, Simon & Alzheimers Disease Neuroimaging Initiative & others. (2016). "Normative data for subcortical regional volumes over the lifetime of the adult human brain." NeuroImage. [link].

Schaefer, Alexander & Margulies, Daniel S & Lohmann, Gabriele & Gorgolewski, Krzysztof J & Smallwood, Jonathan & Kiebel, Stefan J & Villringer, Arno. (2014). "Dynamic network participation of functional connectivity hubs assessed by resting-state fMRI." Frontiers in human neuroscience. [link].

Singh, Soibam Shyamchand & Khundrakpam, Budhachandra & Reid, Andrew T & Lewis, John D & Evans, Alan C & Ishrat, Romana & Sharma, B Indrajit & Singh, RK Brojen. (2016). "Scaling in topological properties of brain networks." Scientific reports. [link].

Sokolova, Elena & Groot, Perry & Claassen, Tom & Heskes, Tom. (2014). Causal discovery from databases with discrete and continuous variables. [link].

Tao, Chenyang & Feng, Jianfeng. (2016). "Nonlinear association criterion, nonlinear Granger causality and related issues with applications to neuroimage studies." Journal of neuroscience methods. [link].

Tomasi, Dardo G & ShokriKojori, Ehsan & Volkow, Nora D. (2016). "Temporal Evolution of Brain Functional Connectivity Metrics: Could 7 Min of Rest be Enough?." Cerebral Cortex. [link].

Wang, Jieqiong & Li, Wenjing & Miao, Wen & Dai, Dai & Hua, Jing & He, Huiguang. (2014). "Age estimation using cortical surface pattern combining thickness with curvatures." Medical and biological engineering and computing. [link].

Wu, GuoRong & Marinazzo, Daniele. (2016). "Sensitivity of the resting-state haemodynamic response function estimation to autonomic nervous system fluctuations." Phil. Trans. R. Soc. A. [link].

Xu, Ting & Opitz, Alexander & Craddock, R Cameron & Wright, Margaret J & Zuo, XiNian & Milham, Michael P. (2016). "Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability." Cerebral Cortex. [link].

Zhou, Xinqi & Wu, Taoyu & Yu, Jing & Lei, Xu. (2016). "Sleep deprivation make the young's brain like elderly: A large-scale brain networks study." Brain Connectivity. [link].

Zuo, Xi-Nian & Anderson, Jeffrey S & Bellec, Pierre & Birn, Rasmus M & Biswal, Bharat B & Blautzik, Janusch & Breitner, John C.S & Buckner, Randy L & Calhoun, Vince D & Castellanos, F. Xavier & Chen, Antao & Chen, Bing & Chen, Jiangtao & Chen, Xu & Colcombe, Stanley J & Courtney, William & Craddock, R Cameron & Di Martino, Adriana & Dong, Hao-Ming & Fu, Xiaolan & Gong, Qiyong & Gorgolewski, Krzysztof J & Han, Ying & He, Ye & He, Yong & Ho, Erica & Holmes, Avram & Hou, Xiao-Hui & Huckins, Jeremy & Jiang, Tianzi & Jiang, Yi & Kelley, William & Kelly, Clare & King, Margaret & LaConte, Stephen M & Lainhart, Janet E & Lei, Xu & Li, Hui-Jie & Li, Kaiming & Li, Kuncheng & Lin, Qixiang & Liu, Dongqiang & Liu, Jia & Liu, Xun & Liu, Yijun & Lu, Guangming & Lu, Jie & Luna, Beatriz & Luo, Jing & Lurie, Daniel & Mao, Ying & Margulies, Daniel S & Mayer, Andrew R & Meindl, Thomas & Meyerand, Mary E & Nan, Weizhi & Nielsen, Jared A & O’Connor, David & Paulsen, David & Prabhakaran, Vivek & Qi, Zhigang & Qiu, Jiang & Shao, Chunhong & Shehzad, Zarrar & Tang, Weijun & Villringer, Arno & Wang, Huiling & Wang, Kai & Wei, Dongtao & Wei, Gao-Xia & Weng, Xu-Chu & Wu, Xuehai & Xu, Ting & Yang, Ning & Yang, Zhi & Zang, Yu-Feng & Zhang, Lei & Zhang, Qinglin & Zhang, Zhe & Zhang, Zhiqiang & Zhao, Ke & Zhen, Zonglei & Zhou, Yuan & Zhu, Xing-Ting & Milham, Michael P. (2014). "An open science resource for establishing reliability and reproducibility in functional connectomics." Scientific data. [link].

Zuo, XiNian & Xing, XiuXia. (2014). "Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective." Neuroscience and Biobehavioral Reviews. [link].

Peer-reviewed journal articles that used unspecified data

Bell, Peter T & Shine, James M. (2015). "Estimating large-scale network convergence in the human functional connectome." Brain connectivity. [link].

Grothe, M & Heinsen, H & Teipel, S. (2012). "Reduced network switching in aging correlates with atrophy of the cholinergic basal forebrain." Klinische Neurophysiologie. [link].

Sherif, Tarek & Rioux, Pierre & Rousseau, MarcEtienne & Kassis, Nicolas & Beck, Natacha & Adalat, Reza & Das, Samir & Glatard, Tristan & Evans, Alan C. (2015). "CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research." Recent Advances and the Future Generation of Neuroinformatics Infrastructure. [link].

Zimmerman, Molly & Brickman, Adam & Ezzati, Ali & Katz, Mindy & Lipton, Michael & Sliwinski, Martin & Lipton, Richard. (2013). "Hippocampal subfields and stress in nondemented older adults: Preliminary findings." Alzheimer's and Dementia. [link].

叶子骏 & 黄惠芳 & 刘杰. (2016). "不同大脑分区下注意缺陷多动障碍分类研究." 北京生物医学工程. [link].

Peer-reviewed journal articles that used 1,000 Functional Connectomes data

Aggarwal, Priya & Shrivastava, Parth & Kabra, Tanay & Gupta, Anubha. (2017). "Optshrink LR+ S: accelerated fMRI reconstruction using non-convex optimal singular value shrinkage." Brain Informatics. [link].

Andersen, Kasper Winther & Madsen, Kristoffer H & Siebner, Hartwig Roman & Schmidt, Mikkel N & Morup, Morten & Hansen, Lars Kai. (2014). "Non-parametric Bayesian graph models reveal community structure in resting state fMRI." NeuroImage. [link].

Anderson, Ariana & Cohen, Mark S. (2013). Decreased small-world functional network connectivity and clustering across resting state networks in schizophrenia: an fMRI classification tutorial. [link].

Anderson, Jeffrey S. (2014). Cortical underconnectivity hypothesis in autism: evidence from functional connectivity MRI. [link].

Aurich, Nathassia K & Alves Filho, Jose O & Marques da Silva, Ana M & Franco, Alexandre R. (2015). "Evaluating the reliability of different preprocessing steps to estimate graph theoretical measures in resting state fMRI data." Frontiers in neuroscience. [link].

Bellana, Buddhika & Liu, Zhongxu & Anderson, John AE & Moscovitch, Morris & Grady, Cheryl L. (2016). "Laterality effects in functional connectivity of the angular gyrus during rest and episodic retrieval." Neuropsychologia. [link].

Bellec, Pierre & Benhajali, Yassine & Carbonell, Felix & Dansereau, Christian & Albouy, Genevieve & Pelland, Maxime & Craddock, Cameron & Collignon, Oliver & Doyon, Julien & Stip, Emmanuel & others. (2015). "Impact of the resolution of brain parcels on connectome-wide association studies in fMRI." NeuroImage. [link].

Bhaganagarapu, Kaushik & Jackson, Graeme D & Abbott, David F. (2013). "An automated method for identifying artifact in independent component analysis of resting-state fMRI." Frontiers in human neuroscience. [link].

Bonenberger, Martina & Plener, Paul L & Groschwitz, Rebecca C & Gron, Georg & Abler, Birgit. (2015). "Differential neural processing of unpleasant haptic sensations in somatic and affective partitions of the insula in non-suicidal self-injury (NSSI)." Psychiatry Research: Neuroimaging. [link].

Boubela, Roland N & Huf, Wolfgang & Kalcher, Klaudius & Sladky, Ronald & Filzmoser, Peter & Pezawas, Lukas & Kasper, Siegfried & Windischberger, Christian & Moser, Ewald. (2012). "A highly parallelized framework for computationally intensive MR data analysis." Magnetic resonance materials in physics, biology and medicine. [link].

Bzdok, Danilo & Heeger, Adrian & Langner, Robert & Laird, Angela R & Fox, Peter T & PalomeroGallagher, Nicola & Vogt, Brent A & Zilles, Karl & Eickhoff, Simon B. (2015). "Subspecialization in the human posterior medial cortex." Neuroimage. [link].

Chang, YuTeng & Leahy, Richard M & Pantazis, Dimitrios. (2012). "Modularity-based graph partitioning using conditional expected models." Physical Review E. [link].

Chang, YuTeng & Pantazis, Dimitrios & Leahy, Richard M. (2014). "To cut or not to cut? Assessing the modular structure of brain networks." NeuroImage. [link].

Chen, Guangyu & Zhang, HongYing & Xie, Chunming & Chen, Gang & Zhang, ZhiJun & Teng, GaoJun & Li, ShiJiang. (2013). Modular reorganization of brain resting state networks and its independent validation in Alzheimer's disease patients. [link].

Chen, Xi & Wang, Miao & He, Jiping & Li, Wei. (2017). "Dynamic brain network evolution in normal aging based on computational experiments." Neurocomputing. [link].

Cheng, Hewei & Wu, Hong & Fan, Yong. (2014). "Optimizing affinity measures for parcellating brain structures based on resting state fMRI data: A validation on medial superior frontal cortex." Journal of neuroscience methods. [link].

Chiangshan, R Li & Ide, Jaime S & Zhang, Sheng & Hu, Sien & Chao, Herta H & Zaborszky, Laszlo. (2014). "Resting state functional connectivity of the basal nucleus of Meynert in humans: in comparison to the ventral striatum and the effects of age." Neuroimage. [link].

Choi, Eun Young & Yeo, BT Thomas & Buckner, Randy L. (2012). "The organization of the human striatum estimated by intrinsic functional connectivity." Journal of neurophysiology. [link].

Cox, Christine L & Gotimer, Kristin & Roy, Amy K & Castellanos, F Xavier & Milham, Michael P & Kelly, Clare. (2010). "Your resting brain CAREs about your risky behavior." PloS one. [link].

Cox, Christine L & Uddin, Lucina Q & Di Martino, Adriana & Castellanos, F Xavier & Milham, Michael P & Kelly, Clare. (2012). "The balance between feeling and knowing: affective and cognitive empathy are reflected in the brain's intrinsic functional dynamics." Social cognitive and affective neuroscience. [link].

Craddock, R Cameron & James, G Andrew & Holtzheimer, Paul E & Hu, Xiaoping P & Mayberg, Helen S. (2012). "A whole brain fMRI atlas generated via spatially constrained spectral clustering." Human brain mapping. [link].

Craddock, R Cameron & Milham, Michael P & LaConte, Stephen M. (2013). "Predicting intrinsic brain activity." Neuroimage. [link].

Curtis, Brian J & Williams, Paula G & Jones, Christopher R & Anderson, Jeffrey S. (2016). "Sleep duration and resting fMRI functional connectivity: examination of short sleepers with and without perceived daytime dysfunction." Brain and Behavior. [link].

DATA, CONNECTOME. (2015). "Malaak N. Moussa, Matthew R. Steen, Paul J. Laurienti, Satoru Hayasaka." THE EFFECTS OF SOCIAL DRINKING IN OLDER AGE ON COGNITION AND BRAIN HEALTH. [link].

Dai, Zhengjia & Yan, Chaogan & Li, Kuncheng & Wang, Zhiqun & Wang, Jinhui & Cao, Miao & Lin, Qixiang & Shu, Ni & Xia, Mingrui & Bi, Yanchao & others. (2014). "Identifying and mapping connectivity patterns of brain network hubs in Alzheimer's disease." Cerebral Cortex. [link].

Daley, Mark. (2014). An invitation to the study of brain networks, with some statistical analysis of thresholding techniques. [link].

Dansereau, Christian & Risterucci, Celine & Pich, Emilio Merlo & Arnold, Douglas & Bellec, Pierre. (2013). "A power analysis for multisite studies in resting-state functional connectivity, with an application to clinical trials in Alzheimer's disease." Alzheimer's and Dementia: The Journal of the Alzheimer's Association. [link].

De Domenico, Manlio & Sasai, Shuntaro & Arenas, Alex. (2016). "Mapping Multiplex Hubs in Human Functional Brain Networks." Frontiers in Neuroscience. [link].

Di, Xin & Biswal, Bharat B. (2013). "Modulatory interactions of resting-state brain functional connectivity." PloS one. [link].

Di, Xin & Biswal, Bharat B. (2014). "Identifying the default mode network structure using dynamic causal modeling on resting-state functional magnetic resonance imaging." Neuroimage. [link].

Di, Xin & Biswal, Bharat B. (2014). "Modulatory interactions between the default mode network and task positive networks in resting-state." PeerJ. [link].

Di, Xin & Biswal, Bharat B. (2015). "Dynamic brain functional connectivity modulated by resting-state networks." Brain Structure and Function. [link].

Di, Xin & Kim, Eun H & Chen, Peii & Biswal, Bharat B. (2014). "Lateralized resting-state functional connectivity in the task-positive and task-negative networks." Brain connectivity. [link].

Dobromyslin, Vitaly I & Salat, David H & Fortier, Catherine B & Leritz, Elizabeth C & Beckmann, Christian F & Milberg, William P & McGlinchey, Regina E. (2012). "Distinct functional networks within the cerebellum and their relation to cortical systems assessed with independent component analysis." Neuroimage. [link].

Dronkers, Nina F & others. (2011). "The neural architecture of the language comprehension network: converging evidence from lesion and connectivity analyses." Frontiers in systems neuroscience. [link].

Du, HaiXiao & Liao, XuHong & Lin, QiXiang & Li, GuShu & Chi, YuZe & Liu, Xiang & Yang, HuaZhong & Wang, Yu & Xia, MingRui. (2015). "Test–Retest Reliability of Graph Metrics in High‐resolution Functional Connectomics: A Resting‐State Functional MRI Study." CNS neuroscience and therapeutics. [link].

Duan, Fei & Zhao, Tengda & He, Yong & Shu, Ni. (2015). "Test–retest reliability of diffusion measures in cerebral white matter: A multiband diffusion MRI study." Journal of Magnetic Resonance Imaging. [link].

Durnez, Joke & Moerkerke, Beatrijs & Nichols, Thomas E. (2014). "Post-hoc power estimation for topological inference in fMRI." NeuroImage. [link].

Eklund, Anders & Andersson, Mats & Josephson, Camilla & Johannesson, Magnus & Knutsson, Hans. (2012). "Does parametric fMRI analysis with SPM yield valid results?—An empirical study of 1484 rest datasets." NeuroImage. [link].

Eklund, Anders & Dufort, Paul & Villani, Mattias & LaConte, Stephen. (2014). BROCCOLI: Software for fast fMRI analysis on many-core CPUs and GPUs. [link].

Eklund, Anders & Villani, Mattias & LaConte, Stephen M. (2013). "Harnessing graphics processing units for improved neuroimaging statistics." Cognitive, Affective, and Behavioral Neuroscience. [link].

Eloyan, Ani & Li, Shanshan & Muschelli, John & Pekar, Jim J & Mostofsky, Stewart H & Caffo, Brian S. (2014). "Analytic programming with fMRI data: A quick-start guide for statisticians using R." PloS one. [link].

Fan, Yang & Nickerson, Lisa D & Li, Huanjie & Ma, Yajun & Lyu, Bingjiang & Miao, Xinyuan & Zhuo, Yan & Ge, Jianqiao & Zou, Qihong & Gao, JiaHong. (2015). "Functional connectivity-based parcellation of the thalamus: an unsupervised clustering method and its validity investigation." Brain connectivity. [link].

Ferguson, Michael A & Anderson, Jeffrey S. (2012). "Dynamical stability of intrinsic connectivity networks." Neuroimage. [link].

Forzani, Liliana & Fraiman, Ricardo & Llop, Pamela. (2013). "Density estimation for spatial-temporal models." Test. [link].

Ganz, Melanie & Greve, Douglas N & Fischl, Bruce & Konukoglu, Ender & Alzheimers Disease Neuroimaging Initiative & others. (2015). "Relevant feature set estimation with a knock-out strategy and random forests." NeuroImage. [link].

Gastner, Michael T & Odor, Geza. (2016). "The topology of large Open Connectome networks for the human brain." Scientific reports. [link].

Ge, Bao & Makkie, Milad & Wang, Jin & Zhao, Shijie & Jiang, Xi & Li, Xiang & Lv, Jinglei & Zhang, Shu & Zhang, Wei & Han, Junwei & others. (2016). "Signal sampling for efficient sparse representation of resting state FMRI data." Brain imaging and behavior. [link].

Ge, Ruiyang & Wang, Yubao & Zhang, Jipeng & Yao, Li & Zhang, Hang & Long, Zhiying. (2016). "Improved FastICA algorithm in fMRI data analysis using the sparsity property of the sources." Journal of neuroscience methods. [link].

Ge, Ruiyang & Yao, Li & Zhang, Hang & Long, Zhiying. (2015). "A two-step super-Gaussian independent component analysis approach for fMRI data." NeuroImage. [link].

Gorgolewski, Krzysztof J & Mendes, Natacha & Wilfling, Domenica & Wladimirow, Elisabeth & Gauthier, Claudine J & Bonnen, Tyler & Ruby, Florence JM & Trampel, Robert & Bazin, PierreLouis & Cozatl, Roberto & others. (2015). "A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures." Scientific data. [link].

Goulden, Nia & Khusnulina, Aygul & Davis, Nicholas J & Bracewell, Robert M & Bokde, Arun L & McNulty, Jonathan P & Mullins, Paul G. (2014). "The salience network is responsible for switching between the default mode network and the central executive network: replication from DCM." Neuroimage. [link].

Gultepe, Eren & He, Bin. (2013). "A linear/nonlinear characterization of resting state brain networks in FMRI time series." Brain topography. [link].

Hallquist, Michael N & Hwang, Kai & Luna, Beatriz. (2013). "The nuisance of nuisance regression: spectral misspecification in a common approach to resting-state fMRI preprocessing reintroduces noise and obscures functional …." Neuroimage. [link].

Hasan, Khader M & Mwangi, Benson & Cao, Bo & Keser, Zafer & Tustison, Nicholas J & Kochunov, Peter & Frye, Richard E & Savatic, Mirjana & Soares, Jair. (2015). "Entorhinal Cortex Thickness across the Human Lifespan." Journal of Neuroimaging. [link].

Hayasaka, Satoru. (2016). "Explosive percolation in thresholded networks." Physica A: Statistical Mechanics and its Applications. [link].

Herron, Timothy J & Kang, Xiaojian & Woods, David L. (2012). "Automated measurement of the human corpus callosum using MRI." Frontiers in neuroinformatics. [link].

Hsieh, TsungHao & Sun, MingJian & Liang, ShengFu. (2014). Diagnosis of Schizophrenia patients based on brain network complexity analysis of resting-state fMRI. [link].

Hsu, Chun Liang & Voss, Michelle W & Handy, Todd C & Davis, Jennifer C & Nagamatsu, Lindsay S & Chan, Alison & Bolandzadeh, Niousha & LiuAmbrose, Teresa. (2014). "Disruptions in brain networks of older fallers are associated with subsequent cognitive decline: a 12-month prospective exploratory study." PloS one. [link].

Igelstrom, Kajsa M & Webb, Taylor W & Graziano, Michael SA. (2015). "Neural processes in the human temporoparietal cortex separated by localized independent component analysis." Journal of Neuroscience. [link].

Iwabuchi, Sarina J & Palaniyappan, Lena. (2017). "Abnormalities in the effective connectivity of visuothalamic circuitry in schizophrenia." Psychological Medicine. [link].

Jaspers, Ellen & Balsters, Joshua H & Kassraian Fard, Pegah & Mantini, Dante & Wenderoth, Nicole. (2016). "Corticostriatal connectivity fingerprints: Probability maps based on resting‐state functional connectivity." Human Brain Mapping. [link].

Jiang, Di & Du, Yuhui & Cheng, Hewei & Jiang, Tianzi & Fan, Yong. (2013). "Groupwise spatial normalization of fMRI data based on multi-range functional connectivity patterns." Neuroimage. [link].

Jiang, Ying & Oathes, Desmond & Hush, Julia & Darnall, Beth & Charvat, Mylea & Mackey, Sean & Etkin, Amit. (2016). "Perturbed connectivity of the amygdala and its subregions with the central executive and default mode networks in chronic pain." Pain. [link].

Jo, Hang Joon & Gotts, Stephen J & Reynolds, Richard C & Bandettini, Peter A & Martin, Alex & Cox, Robert W & Saad, Ziad S. (2013). "Effective preprocessing procedures virtually eliminate distance-dependent motion artifacts in resting state FMRI." Journal of applied mathematics. [link].

Kahn, I & Shohamy, D. (2013). "Intrinsic connectivity between the hippocampus, nucleus accumbens, and ventral tegmental area in humans." Hippocampus. [link].

Kalcher, Klaudius & Boubela, Roland N & Huf, Wolfgang & Bartova, Lucie & Kronnerwetter, Claudia & Derntl, Birgit & Pezawas, Lukas & Filzmoser, Peter & Nasel, Christian & Moser, Ewald. (2014). "The spectral diversity of resting-state fluctuations in the human brain." PloS one. [link].

Kalcher, Klaudius & Huf, Wolfgang & Boubela, Roland Norbert & Filzmoser, Peter & Pezawas, Lukas & Biswal, Bharat B & Kasper, Siegfried & Moser, Ewald & Windischberger, Christian. (2012). "Fully exploratory network independent component analysis of the 1000 functional connectomes database." Frontiers in human neuroscience. [link].

Kang, Jin & Wang, Liang & Yan, Chaogan & Wang, Jinhui & Liang, Xia & He, Yong. (2011). "Characterizing dynamic functional connectivity in the resting brain using variable parameter regression and Kalman filtering approaches." Neuroimage. [link].

Kann, Sarah & Zhang, Sheng & Manza, Peter & Leung, HoiChung & Li, ChiangShan R. (2016). "Hemispheric Lateralization of Resting-State Functional Connectivity of the Anterior Insula: Association with Age, Gender, and a Novelty-Seeking Trait." Brain Connectivity. [link].

Kelly, Clare & Toro, Roberto & Di Martino, Adriana & Cox, Christine L & Bellec, Pierre & Castellanos, F Xavier & Milham, Michael P. (2012). "A convergent functional architecture of the insula emerges across imaging modalities." Neuroimage. [link].

Kelly, Clare & Zuo, XiNian & Gotimer, Kristin & Cox, Christine L & Lynch, Lauren & Brock, Dylan & Imperati, Davide & Garavan, Hugh & Rotrosen, John & Castellanos, F Xavier & others. (2011). "Reduced interhemispheric resting state functional connectivity in cocaine addiction." Biological psychiatry. [link].

Kim, Junghoe & Calhoun, Vince D & Shim, Eunsoo & Lee, JongHwan. (2016). "Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain …." NeuroImage. [link].

Kipping, Judy A & Grodd, Wolfgang & Kumar, Vinod & Taubert, Marco & Villringer, Arno & Margulies, Daniel S. (2013). "Overlapping and parallel cerebello-cerebral networks contributing to sensorimotor control: an intrinsic functional connectivity study." Neuroimage. [link].

Kochiyama, Takanori & Tanabe, Hiroki C & Ogihara, Naomichi. (2014). Reconstruction of the brain from skull fossils using computational anatomy. [link].

Kogler, Lydia & Muller, Veronika I & Chang, Amy & Eickhoff, Simon B & Fox, Peter T & Gur, Ruben C & Derntl, Birgit. (2015). "Psychosocial versus physiological stress—Meta-analyses on deactivations and activations of the neural correlates of stress reactions." Neuroimage. [link].

Kong, Xiangzhen. (2014). "Association between in-scanner head motion with cerebral white matter microstructure: a multiband diffusion-weighted MRI study." PeerJ. [link].

Lehmann, Manja & Ghosh, Pia M & Madison, Cindee & Laforce, Robert & CorbettaRastelli, Chiara & Weiner, Michael W & Greicius, Michael D & Seeley, William W & GornoTempini, Maria L & Rosen, Howard J & others. (2013). "Diverging patterns of amyloid deposition and hypometabolism in clinical variants of probable Alzheimer's disease." Brain. [link].

Li, Kaiming & Jiang, Jing & Qiu, Lihua & Yang, Xun & Huang, Xiaoqi & Lui, Su & Gong, Qiyong. (2015). "A multimodal MRI dataset of professional chess players." Scientific data. [link].

Li, Shanshan & Chen, Shaojie & Yue, Chen & Caffo, Brian. (2016). "A Parcellation Based Nonparametric Algorithm for Independent Component Analysis with Application to fMRI Data." Frontiers in neuroscience. [link].

Li, Wei & Wang, Miao & Li, Yapeng & Huang, Yue & Chen, Xi. (2016). "A novel brain network construction method for exploring age-related functional reorganization." Computational intelligence and neuroscience. [link].

Li, Wenjing & Tol, MarieJose & Li, Meng & Miao, Wen & Jiao, Yonghong & Heinze, HansJochen & Bogerts, Bernhard & He, Huiguang & Walter, Martin. (2014). "Regional specificity of sex effects on subcortical volumes across the lifespan in healthy aging." Human brain mapping. [link].

Li, Xuan & Hu, Zilan & Wang, Haixian. (2016). Overlapping community structure detection of brain functional network using non-negative matrix factorization. [link].

Li, Xuan & Wang, Haixian. (2015). "Identification of functional networks in resting state fMRI data using adaptive sparse representation and affinity propagation clustering." Frontiers in neuroscience. [link].

Li, Zhengjun & Zang, YuFeng & Ding, Jianping & Wang, Ze. (2016). "Assessing the mean strength and variations of the time-to-time fluctuations of resting-state brain activity." Medical and Biological Engineering and Computing. [link].

Liang, Xia & Wang, Jinhui & Yan, Chaogan & Shu, Ni & Xu, Ke & Gong, Gaolang & He, Yong. (2012). "Effects of different correlation metrics and preprocessing factors on small-world brain functional networks: a resting-state functional MRI study." PloS one. [link].

Liao, Wei & Zhang, Zhiqiang & Mantini, Dante & Xu, Qiang & Wang, Zhengge & Chen, Guanghui & Jiao, Qing & Zang, YuFeng & Lu, Guangming. (2013). "Relationship between large-scale functional and structural covariance networks in idiopathic generalized epilepsy." Brain connectivity. [link].

Liao, XuHong & Xia, MingRui & Xu, Ting & Dai, ZhengJia & Cao, XiaoYan & Niu, HaiJing & Zuo, XiNian & Zang, YuFeng & He, Yong. (2013). "Functional brain hubs and their test–retest reliability: a multiband resting-state functional MRI study." Neuroimage. [link].

Lin, Pan & Sun, Jubao & Yu, Gang & Wu, Ying & Yang, Yong & Liang, Meilin & Liu, Xin. (2014). "Global and local brain network reorganization in attention-deficit/hyperactivity disorder." Brain imaging and behavior. [link].

Liu, Cirong & Tian, Xiaoguang. (2013). "A data-driven method to reduce the impact of region size on degree metrics in voxel-wise functional brain networks." Frontiers in neurology. [link].

Liu, Dongqiang & Dong, Zhangye & Zuo, Xinian & Wang, Jue & Zang, Yufeng. (2013). "Eyes-open/eyes-closed dataset sharing for reproducibility evaluation of resting state fMRI data analysis methods." Neuroinformatics. [link].

Liu, Xiao & Chang, Catie & Duyn, Jeff H. (2013). "Decomposition of spontaneous brain activity into distinct fMRI co-activation patterns." Frontiers in systems neuroscience. [link].

Liu, Xiaozheng & Yuan, Zhenming & Guo, Zhongwei & Xu, Dongrong. (2015). "A localized Richardson–Lucy algorithm for fiber orientation estimation in high angular resolution diffusion imaging." Medical physics. [link].

Lopes, Renaud & Moeller, Friederike & Besson, Pierre & Ogez, Franccois & Szurhaj, William & Leclerc, Xavier & Siniatchkin, Michael & Chipaux, Mathilde & Derambure, Philippe & Tyvaert, Louise. (2014). "Study on the relationships between intrinsic functional connectivity of the default mode network and transient epileptic activity." Frontiers in neurology. [link].

Luo, Yungang & Liu, Ping & Shi, Lin & Luo, Yishan & Yi, Lei & Li, Ang & Qin, Jing & Heng, PhengAnn & Wang, Defeng. (2015). "Accelerating Neuroimage Registration through Parallel Computation of Similarity Metric." PloS one. [link].

Lyzinski, Vince & Fishkind, Donniell E & Priebe, Carey E. (2014). "Seeded graph matching for correlated Erdös-Rényi graphs." Journal of Machine Learning Research. [link].

Makkie, Milad & Zhao, Shijie & Jiang, Xi & Lv, Jinglei & Zhao, Yu & Ge, Bao & Li, Xiang & Han, Junwei & Liu, Tianming. (2015). "HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI)." Brain informatics. [link].

Malherbe, Caroline & Messe, Arnaud & Bardinet, Eric & PelegriniIssac, Melanie & Perlbarg, Vincent & Marrelec, Guillaume & Worbe, Yulia & Yelnik, Jerome & Lehericy, Stephane & Benali, Habib. (2014). "Combining spatial independent component analysis with regression to identify the subcortical components of resting-state FMRI functional networks." Brain connectivity. [link].

Manza, Peter & Zhang, Sheng & Hu, Sien & Chao, Herta H & Leung, HoiChung & Chiangshan, R Li. (2015). "The effects of age on resting state functional connectivity of the basal ganglia from young to middle adulthood." Neuroimage. [link].

Mayhugh, Rhiannon E & Moussa, Malaak N & Simpson, Sean L & Lyday, Robert G & Burdette, Jonathan H & Porrino, Linda J & Laurienti, Paul J. (2016). "Moderate-heavy alcohol consumption lifestyle in older adults is associated with altered central executive network community structure during cognitive task." PLoS one. [link].

McNorgan, Chris & Joanisse, Marc F. (2014). "A connectionist approach to mapping the human connectome permits simulations of neural activity within an artificial brain." Brain connectivity. [link].

Meier, Timothy B & Desphande, Alok S & Vergun, Svyatoslav & Nair, Veena A & Song, Jie & Biswal, Bharat B & Meyerand, Mary E & Birn, Rasmus M & Prabhakaran, Vivek. (2012). "Support vector machine classification and characterization of age-related reorganization of functional brain networks." Neuroimage. [link].

Meszlenyi, Regina J & Hermann, Petra & Buza, Krisztian & Gal, Viktor & Vidnyanszky, Zoltan. (2017). "Resting state fMRI functional connectivity analysis using Dynamic Time Warping." Frontiers in Neuroscience. [link].

Milham, Michael Peter & Kelly, Clare & Mennes, Maarten & Di Martino, Adriana & Castellanos, Francisco Xavier. (2011). "Discovery science of human brain function." Neuroscience Research.

Moussa, Malaak N & Steen, Matthew R & Laurienti, Paul J & Hayasaka, Satoru. (2012). "Consistency of network modules in resting-state FMRI connectome data." PloS one. [link].

Muller, Veronika I & Langner, Robert & Cieslik, Edna C & Rottschy, Claudia & Eickhoff, Simon B. (2015). "Interindividual differences in cognitive flexibility: influence of gray matter volume, functional connectivity and trait impulsivity." Brain Structure and Function. [link].

Ni, Huangjing & Huang, Xiaolin & Ning, Xinbao & Huo, Chengyu & Liu, Tiebing & Ben, De. (2014). "Multifractal analysis of resting state fMRI series in default mode network: age and gender effects." Chinese science bulletin. [link].

Nomi, Jason S & Farrant, Kristafor & Damaraju, Eswar & Rachakonda, Srinivas & Calhoun, Vince D & Uddin, Lucina Q. (2016). "Dynamic functional network connectivity reveals unique and overlapping profiles of insula subdivisions." Human brain mapping. [link].

Nooner, Kate B & Mennes, Maarten & Brown, Shaquanna & Castellanos, F Xavier & Leventhal, Bennett & Milham, Michael P & Colcombe, Stanley J. (2013). "Relationship of Trauma Symptoms to Amygdala‐Based Functional Brain Changes in Adolescents." Journal of traumatic stress. [link].

Onofrey, John A & Staib, Lawrence H & Papademetris, Xenophon. (2013). Semi-supervised learning of nonrigid deformations for image registration. [link].

Orban, Pierre & Madjar, Cecile & Savard, Melissa & Dansereau, Christian & Tam, Angela & Das, Samir & Evans, Alan C & RosaNeto, Pedro & Breitner, John CS & Bellec, Pierre & others. (2015). "Test-retest resting-state fMRI in healthy elderly persons with a family history of Alzheimer's disease." Scientific data. [link].

Otten, Marc L & Mikell, Charles B & Youngerman, Brett E & Liston, Conor & Sisti, Michael B & Bruce, Jeffrey N & Small, Scott A & McKhann, Guy M. (2012). "Motor deficits correlate with resting state motor network connectivity in patients with brain tumours." Brain. [link].

OvadiaCaro, Smadar & Nir, Yuval & Soddu, Andrea & Ramot, Michal & Hesselmann, Guido & Vanhaudenhuyse, Audrey & Dinstein, Ilan & Tshibanda, JeanFlory L & Boly, Melanie & Harel, Michal & others. (2012). "Reduction in inter-hemispheric connectivity in disorders of consciousness." PLoS One. [link].

Pamplona, Gustavo SP & Neto, Gerson S Santos & Rosset, Sara RE & Rogers, Baxter P & Salmon, Carlos EG. (2015). "Analyzing the association between functional connectivity of the brain and intellectual performance." Frontiers in human neuroscience. [link].

Parks, Emily L & Madden, David J. (2013). "Brain connectivity and visual attention." Brain connectivity. [link].

Patriat, Remi & Molloy, Erin K & Birn, Rasmus M. (2015). "Using edge voxel information to improve motion regression for rs-fMRI connectivity studies." Brain connectivity. [link].

Pearce, Eiluned & Bridge, Holly. (2013). "Is orbital volume associated with eyeball and visual cortex volume in humans?." Annals of human biology. [link].

Pendl, Suzanne L & Salzwedel, Andrew P & Goldman, Barbara D & Barrett, Lisa F & Lin, Weili & Gilmore, John H & Gao, Wei. (2017). "Emergence of a hierarchical brain during infancy reflected by stepwise functional connectivity." Human Brain Mapping. [link].

Pendse, Gautam V & Borsook, David & Becerra, Lino. (2011). "A simple and objective method for reproducible resting state network (RSN) detection in fMRI." PLoS One. [link].

Pereira, Joana B & Junque, Carme & BartresFaz, David & Marti, Maria J & SalaLlonch, Roser & Compta, Yarko & Falcon, Carles & Vendrell, Pere & PascualLeone, Alvaro & VallsSole, Josep & others. (2013). "Modulation of verbal fluency networks by transcranial direct current stimulation (tDCS) in Parkinson's disease." Brain stimulation. [link].

Peterson, Andrew C & Zhang, Sheng & Hu, Sien & Chao, Herta H & Li, Chiangshan R. (2017). "The Effects of Age, from Young to Middle Adulthood, and Gender on Resting State Functional Connectivity of the Dopaminergic Midbrain." Frontiers in Human Neuroscience. [link].

Poeppl, Timm B & Eickhoff, Simon B & Fox, Peter T & Laird, Angela R & Rupprecht, Rainer & Langguth, Berthold & Bzdok, Danilo. (2015). "Connectivity and functional profiling of abnormal brain structures in pedophilia." Human brain mapping. [link].

Power, Jonathan D & Barnes, Kelly Anne & Snyder, Abraham Z & Schlaggar, Bradley L & Petersen, Steven E. (2013). "Steps toward optimizing motion artifact removal in functional connectivity MRI; a reply to Carp." Neuroimage. [link].

Qian, Long & Zhang, Yi & Zheng, Li & Shang, Yuqing & Gao, JiaHong & Liu, Yijun. (2015). "Frequency dependent topological patterns of resting-state brain networks." PloS one. [link].

Qing, Zhao & Dong, Zhangye & Li, Sufang & Zang, Yufeng & Liu, Dongqiang. (2015). "Global signal regression has complex effects on regional homogeneity of resting state fMRI signal." Magnetic resonance imaging. [link].

Ramesh, MG & Rai, Kiranmai S. (2013). Region-wise gray matter volume alterations in brain of adolescents with attention deficit hyperactive disorder: A voxel based morphometric analysis. [link].

Reiss, Philip T & Mennes, Maarten & Petkova, Eva & Huang, Lei & Hoptman, Matthew J & Biswal, Bharat B & Colcombe, Stanley J & Zuo, XiNian & Milham, Michael P. (2011). "Extracting information from functional connectivity maps via function-on-scalar regression." NeuroImage. [link].

Rohr, Christiane S & OkonSinger, Hadas & Craddock, R Cameron & Villringer, Arno & Margulies, Daniel S. (2013). "Affect and the brain's functional organization: a resting-state connectivity approach." PloS one. [link].

Rojas, Gonzalo M & Galvez, Marcelo & Vega Potler, Natan & Craddock, R Cameron & Margulies, Daniel S & Castellanos, F Xavier & Milham, Michael P. (2014). "Stereoscopic three-dimensional visualization applied to multimodal brain images: clinical applications and a functional connectivity atlas." Frontiers in neuroscience. [link].

Rubinov, Mikail & Sporns, Olaf. (2011). "Weight-conserving characterization of complex functional brain networks." Neuroimage. [link].

Saad, Ziad S & Reynolds, Richard C & Jo, Hang Joon & Gotts, Stephen J & Chen, Gang & Martin, Alex & Cox, Robert W. (2013). "Correcting brain-wide correlation differences in resting-state FMRI." Brain connectivity. [link].

Saenger, Victor M & Barrios, Fernando A & MartinezGudino, Maria L & Alcauter, Sarael. (2012). "Hemispheric asymmetries of functional connectivity and grey matter volume in the default mode network." Neuropsychologia. [link].

Sasai, Shuntaro & Homae, Fumitaka & Watanabe, Hama & Sasaki, Akihiro T & Tanabe, Hiroki C & Sadato, Norihiro & Taga, Gentaro. (2014). "Frequency-specific network topologies in the resting human brain." Frontiers in human neuroscience. [link].

Scarpazza, Cristina & Nichols, Thomas E & Seramondi, Donato & Maumet, Camille & Sartori, Giuseppe & Mechelli, Andrea. (2016). "When the Single Matters more than the Group (II): Addressing the Problem of High False Positive Rates in Single Case Voxel Based Morphometry Using Non- …." Frontiers in neuroscience. [link].

Scarpazza, Cristina & Sartori, G & De Simone, MS & Mechelli, Andrea. (2013). "When the single matters more than the group: very high false positive rates in single case voxel based morphometry." Neuroimage. [link].

Scarpazza, Cristina & Tognin, Stefania & Frisciata, Silvia & Sartori, Giuseppe & Mechelli, Andrea. (2015). "False positive rates in Voxel-based Morphometry studies of the human brain: Should we be worried?." Neuroscience and Biobehavioral Reviews. [link].

Sedeno, L & Couto, B & Melloni, M & CanalesJohnson, A & Yoris, A & others. (2014). "How Do You Feel when You Can't Feel Your Body." Interoception, Functional. [link].

Sedeno, Lucas & Couto, Blas & Melloni, Margherita & CanalesJohnson, Andres & Yoris, Adrian & Baez, Sandra & Esteves, Sol & Velasquez, Marcela & Barttfeld, Pablo & Sigman, Mariano & others. (2014). "How do you feel when you can't feel your body? Interoception, functional connectivity and emotional processing in depersonalization-derealization disorder." PLoS One. [link].

Shirer, William R & Jiang, Heidi & Price, Collin M & Ng, Bernard & Greicius, Michael D. (2015). "Optimization of rs-fMRI pre-processing for enhanced signal-noise separation, test-retest reliability, and group discrimination." NeuroImage. [link].

Simpson, Sean L & Lyday, Robert G & Hayasaka, Satoru & Marsh, Anthony P & Laurienti, Paul J. (2013). "A permutation testing framework to compare groups of brain networks." Frontiers in computational neuroscience. [link].

Sokunbi, Moses O. (2015). "Sample entropy reveals high discriminative power between young and elderly adults in short fMRI data sets." Information-based methods for neuroimaging: analyzing structure, function and dynamics. [link].

Sokunbi, Moses O & Cameron, George G & Ahearn, Trevor S & Murray, Alison D & Staff, Roger T. (2015). "Fuzzy approximate entropy analysis of resting state fMRI signal complexity across the adult life span." Medical engineering and physics. [link].

Song, Jie & Desphande, Alok S & Meier, Timothy B & Tudorascu, Dana L & Vergun, Svyatoslav & Nair, Veena A & Biswal, Bharat B & Meyerand, Mary E & Birn, Rasmus M & Bellec, Pierre & others. (2012). "Age-related differences in test-retest reliability in resting-state brain functional connectivity." PLoS One. [link].

Song, Xiaopeng & Zhang, Yi & Liu, Yijun. (2014). "Frequency specificity of regional homogeneity in the resting-state human brain." PloS one. [link].

Song, Xiaopeng & Zhou, Shuqin & Zhang, Yi & Liu, Yijun & Zhu, Huaiqiu & Gao, JiaHong. (2015). "Frequency-dependent modulation of regional synchrony in the human brain by eyes open and eyes closed resting-states." PloS one. [link].

Su, Longfei & Wang, Lubin & Chen, Fanglin & Shen, Hui & Li, Baojuan & Hu, Dewen. (2012). "Sparse representation of brain aging: extracting covariance patterns from structural MRI." PloS one. [link].

Su, Longfei & Wang, Lubin & Shen, Hui & Hu, Dewen. (2011). "Age-related Classification and Prediction Based on MRI: A Sparse Representation Method." Procedia Environmental Sciences. [link].

Sun, Li & Cao, Qingjiu & Long, Xiangyu & Sui, Manqiu & Cao, Xiaohua & Zhu, Chaozhe & Zuo, Xinian & An, Li & Song, Yan & Zang, Yufeng & others. (2012). "Abnormal functional connectivity between the anterior cingulate and the default mode network in drug-naive boys with attention deficit hyperactivity disorder." Psychiatry Research: Neuroimaging. [link].

Sundermann, Benedikt & Pfleiderer, Bettina. (2012). "Functional connectivity profile of the human inferior frontal junction: involvement in a cognitive control network." BMC neuroscience. [link].

Supekar, Kaustubh & Uddin, Lucina Q & Khouzam, Amirah & Phillips, Jennifer & Gaillard, William D & Kenworthy, Lauren E & Yerys, Benjamin E & Vaidya, Chandan J & Menon, Vinod. (2013). "Brain hyperconnectivity in children with autism and its links to social deficits." Cell reports. [link].

Sutterer, Matthew J & Bruss, Joel & Boes, Aaron D & Voss, Michelle W & Bechara, Antoine & Tranel, Daniel. (2016). "Canceled connections: Lesion-derived network mapping helps explain differences in performance on a complex decision-making task." Cortex. [link].

Tagliazucchi, Enzo & Siniatchkin, Michael & Laufs, Helmut & Chialvo, Dante R. (2016). "The voxel-wise functional connectome can be efficiently derived from co-activations in a sparse spatio-temporal point-process." Frontiers in Neuroscience. [link].

Tang, Tianyu & Jiao, Yun & Wang, Xunheng & Lu, Zuhong. (2013). "Gender versus brain size effects on subcortical gray matter volumes in the human brain." Neuroscience letters. [link].

Tang, Zhenyu & Jiang, Di & Li, Hongming & Fan, Yong. (2013). Matching Functional Connectivity Patterns for Spatial Correspondence Detection in fMRI Registration. [link].

Taylor, Paul A & Gohel, Suril & Di, Xin & Walter, Martin & Biswal, Bharat B. (2012). "Functional covariance networks: obtaining resting-state networks from intersubject variability." Brain connectivity. [link].

Thompson, William H & Fransson, Peter. (2015). "The mean–variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fMRI." Frontiers in human neuroscience. [link].

Thompson, William Hedley & Fransson, Peter. (2016). "On stabilizing the variance of dynamic functional brain connectivity time series." Brain Connectivity. [link].

Tian, Lixia & Wang, Jinhui & Yan, Chaogan & He, Yong. (2011). "Hemisphere-and gender-related differences in small-world brain networks: a resting-state functional MRI study." Neuroimage. [link].

Tian, Xiaoguang & Liu, Cirong & Jiang, Tianzi & Rizak, Joshua & Ma, Yuanye & Hu, Xintian. (2013). "Feature-reduction and semi-simulated data in functional connectivity-based cortical parcellation." Neuroscience bulletin. [link].

TieBing, Liu & WenPo, Yao & XinBao, Ning & HuangJing, Ni & Jun, Wang. (2013). The base scale entropy analysis of fMRI. [link].

Tik, M & Hoffmann, A & Sladky, R & Tomova, L & Hummer, A & de Lara, L Navarro & Biswal, B & Bukowski, H & Pripfl, J & Lamm, C & others. (2017). "P107 Assessing effectiveness and specificity of DLPFC rTMS using an unbiased resting-state approach." Clinical Neurophysiology. [link].

Tomasi, Dardo & Volkow, Nora D. (2011). "Association between functional connectivity hubs and brain networks." Cerebral cortex. [link].

Tomasi, Dardo & Volkow, Nora D. (2011). "Functional connectivity hubs in the human brain." Neuroimage. [link].

Tomasi, Dardo & Volkow, Nora D. (2012). "Aging and functional brain networks." Molecular psychiatry. [link].

Tomasi, Dardo & Volkow, Nora D. (2012). "Gender differences in brain functional connectivity density." Human brain mapping. [link].

Tomasi, Dardo & Volkow, Nora D. (2012). "Laterality patterns of brain functional connectivity: gender effects." Cerebral Cortex. [link].

Tomasi, Dardo & Volkow, Nora D. (2012). "Resting functional connectivity of language networks: characterization and reproducibility." Molecular psychiatry. [link].

Tomasi, Dardo & Volkow, Nora D. (2013). "Striatocortical pathway dysfunction in addiction and obesity: differences and similarities." Critical reviews in biochemistry and molecular biology. [link].

Trpevski, Igor & Dimitrova, Tamara & Boshkovski, Tommy & Stikov, Nikola & Kocarev, Ljupcho. (2016). "Graphlet characteristics in directed networks." Scientific Reports. [link].

Wang, Hao & Jin, Xiaoqing & Zhang, Ye & Wang, Jinhui. (2016). "Single‐subject morphological brain networks: connectivity mapping, topological characterization and test–retest reliability." Brain and behavior. [link].

Wang, HsiaoLan Sharon & Rau, ChiLun & Li, YuMei & Chen, YaPing & Yu, Rongjun. (2015). "Disrupted thalamic resting-state functional networks in schizophrenia." Frontiers in behavioral neuroscience. [link].

Wang, Jing & Hu, Zilan & Wang, Haixian. (2016). Parcellating whole brain for individuals by simple linear iterative clustering. [link].

Wang, Jinhui & Wang, Xindi & Xia, Mingrui & Liao, Xuhong & Evans, Alan & He, Yong. (2015). "GRETNA: a graph theoretical network analysis toolbox for imaging connectomics." Frontiers in human neuroscience. [link].

Wang, Lubin & Shen, Hui & Tang, Feng & Zang, Yufeng & Hu, Dewen. (2012). "Combined structural and resting-state functional MRI analysis of sexual dimorphism in the young adult human brain: an MVPA approach." Neuroimage. [link].

Wang, Lubin & Su, Longfei & Shen, Hui & Hu, Dewen. (2012). "Decoding lifespan changes of the human brain using resting-state functional connectivity MRI." PloS one. [link].

Wang, Lubin & Zou, Feng & Shao, Yongcong & Ye, Enmao & Jin, Xiao & Tan, Shuwen & Hu, Dewen & Yang, Zheng. (2014). "Disruptive changes of cerebellar functional connectivity with the default mode network in schizophrenia." Schizophrenia research. [link].

Wang, Rong & Wang, Li & Yang, Yong & Li, Jiajia & Wu, Ying & Lin, Pan. (2016). "Random matrix theory for analyzing the brain functional network in attention deficit hyperactivity disorder." Physical Review E. [link].

Wang, Rong & Zhang, ZhenZhen & Ma, Jun & Yang, Yong & Lin, Pan & Wu, Ying. (2015). "Spectral properties of the temporal evolution of brain network structure." Chaos: An Interdisciplinary Journal of Nonlinear Science. [link].

Wang, X & Jiao, Y & Tang, T & Wang, H & Lu, Z. (2013). "Investigating univariate temporal patterns for intrinsic connectivity networks based on complexity and low-frequency oscillation: A test–retest reliability study." Neuroscience. [link].

Wang, XunHeng & Li, Lihua & Xu, Tao & Ding, Zhongxiang. (2015). "Investigating the temporal patterns within and between intrinsic connectivity networks under eyes-open and eyes-closed resting states: a dynamical functional …." PloS one. [link].

Wang, Yu & Du, Haixiao & Xia, Mingrui & Ren, Ling & Xu, Mo & Xie, Teng & Gong, Gaolang & Xu, Ningyi & Yang, Huazhong & He, Yong. (2013). "A hybrid CPU-GPU accelerated framework for fast mapping of high-resolution human brain connectome." PloS one. [link].

Wang, Ze & Li, Yin & Childress, Anna Rose & Detre, John A. (2014). "Brain entropy mapping using fMRI." Plos one. [link].

Weaver, KE & Chaovalitwongse, WA & Novotny, EJ & Poliakov, A & Grabowski, TG & Ojemann, JG. (2013). Local functional connectivity as a pre-surgical tool for seizure focus identification in non-lesion, focal epilepsy. [link].

Wei, Yongbin & Liao, Xuhong & Yan, Chaogan & He, Yong & Xia, Mingrui. (2017). "Identifying topological motif patterns of human brain functional networks." Human Brain Mapping. [link].

Welvaert, Marijke & Rosseel, Yves. (2013). "On the definition of signal-to-noise ratio and contrast-to-noise ratio for fMRI data." PloS one. [link].

Whitlow, Christopher T & Casanova, Ramon & Maldjian, Joseph A. (2011). "Effect of resting-state functional MR imaging duration on stability of graph theory metrics of brain network connectivity." Radiology. [link].

Wilke, Marko. (2014). "Isolated assessment of translation or rotation severely underestimates the effects of subject motion in FMRI data." PloS one. [link].

Wisner, Krista M & Patzelt, Edward H & Lim, Kelvin O & MacDonald III, Angus W. (2013). "An intrinsic connectivity network approach to insula-derived dysfunctions among cocaine users." The American journal of drug and alcohol abuse. [link].

Wu, GuoRong & Liao, Wei & Stramaglia, Sebastiano & Ding, JuRong & Chen, Huafu & Marinazzo, Daniele. (2013). "A blind deconvolution approach to recover effective connectivity brain networks from resting state fMRI data." Medical image analysis. [link].

Wu, GuoRong & Stramaglia, Sebastiano & Chen, Huafu & Liao, Wei & Marinazzo, Daniele. (2013). "Mapping the voxel-wise effective connectome in resting state fMRI." PloS one. [link].

Wu, Xia & Wu, Tong & Liu, Chenghua & Wen, Xiaotong & Yao, Li. (2017). "Frequency Clustering Analysis for Resting State Functional Magnetic Resonance Imaging based on Hilbert-Huang Transform." Frontiers in Human Neuroscience. [link].

Xia, Mingrui & Lin, Qixiang & Bi, Yanchao & He, Yong. (2016). "Connectomic Insights into Topologically Centralized Network Edges and Relevant Motifs in the Human Brain." Frontiers in human neuroscience. [link].

Xia, Mingrui & Wang, Jinhui & He, Yong. (2013). "BrainNet Viewer: a network visualization tool for human brain connectomics." PloS one. [link].

Xu, Xin & Kuang, Qifan & Zhang, Yongqing & Wang, Huijun & Wen, Zhining & Li, Menglong. (2015). "Age-related changes in functional connectivity between young adulthood and late adulthood." Analytical Methods. [link].

Xu, Yangwen & Lin, Qixiang & Han, Zaizhu & He, Yong & Bi, Yanchao. (2016). "Intrinsic functional network architecture of human semantic processing: Modules and hubs." Neuroimage. [link].

Yan, ChaoGan & Craddock, R Cameron & He, Yong & Milham, Michael P. (2013). Addressing head motion dependencies for small-world topologies in functional connectomics. [link].

Yan, ChaoGan & Craddock, R Cameron & Zuo, XiNian & Zang, YuFeng & Milham, Michael P. (2013). "Standardizing the intrinsic brain: towards robust measurement of inter-individual variation in 1000 functional connectomes." Neuroimage. [link].

Yan, Chaogan & He, Yong. (2011). "Driving and driven architectures of directed small-world human brain functional networks." PLoS One. [link].

Yan, Chaogan & Zang, Yufeng. (2010). "DPARSF: a MATLAB toolbox for" pipeline" data analysis of resting-state fMRI." Frontiers in systems neuroscience. [link].

Yan, FengXian & Wu, Changwei W & Cheng, ShihYu & Lim, KunEng & Hsu, YuanYu & Liu, HoLing. (2013). "Resting-state functional magnetic resonance imaging analysis with seed definition constrained by regional homogeneity." Brain connectivity. [link].

Yang, Albert C & Tsai, ShihJen & Liu, MuEn & Huang, ChuChung & Lin, ChingPo. (2016). "The Association of Aging with White Matter Integrity and Functional Connectivity Hubs." Frontiers in Aging Neuroscience. [link].

Yang, Genevieve J & Murray, John D & Glasser, Matthew & Pearlson, Godfrey D & Krystal, John H & Schleifer, Charlie & Repovs, Grega & Anticevic, Alan. (2016). "Altered Global Signal Topography in Schizophrenia." Cerebral Cortex. [link].

Yang, Michael W Cole Genevieve J & Murray, John D. (2013). "Functional connectivity change as shared signal." NeuroImage. [link].

Yang, Zhen & Kelly, Clare & Castellanos, Francisco X & Leon, Terry & Milham, Michael P & Adler, Lenard A. (2016). "Neural correlates of symptom improvement following stimulant treatment in Adults with Attention-Deficit/Hyperactivity Disorder." Journal of child and adolescent psychopharmacology. [link].

Yang, Zhi & Qiu, Jiang & Wang, Peipei & Liu, Rui & Zuo, XiNian. (2016). "Brain structure–function associations identified in large-scale neuroimaging data." Brain Structure and Function. [link].

Yeo, BT Thomas & Krienen, Fenna M & Sepulcre, Jorge & Sabuncu, Mert R & Lashkari, Danial & Hollinshead, Marisa & Roffman, Joshua L & Smoller, Jordan W & Zollei, Lilla & Polimeni, Jonathan R & others. (2011). "The organization of the human cerebral cortex estimated by intrinsic functional connectivity." Journal of neurophysiology. [link].

Yeo, Thomas. (2011). "The organization of the human cerebellum estimated." J. Neurosci. [link].

Yuan, BinKe & Zang, YuFeng & Liu, DongQiang. (2016). "Influences of Head Motion Regression on High-Frequency Oscillation Amplitudes of Resting-State fMRI Signals." Frontiers in Human Neuroscience. [link].

Zaccarella, Emiliano & Friederici, Angela D. (2015). "Reflections of word processing in the insular cortex: a sub-regional parcellation based functional assessment." Brain and language. [link].

Zhang, Sheng & Chiangshan, R Li. (2012). "Functional connectivity mapping of the human precuneus by resting state fMRI." Neuroimage. [link].

Zhang, Sheng & Ide, Jaime S & Chiangshan, R Li. (2012). "Resting-state functional connectivity of the medial superior frontal cortex." Cerebral Cortex. [link].

Zhang, Sheng & Li, ChiangShan R. (2014). "Functional clustering of the human inferior parietal lobule by whole-brain connectivity mapping of resting-state functional magnetic resonance imaging signals." Brain connectivity. [link].

Zhang, Zhiqiang & Liao, Wei & Zuo, XiNian & Wang, Zhengge & Yuan, Cuiping & Jiao, Qing & Chen, Huafu & Biswal, Bharat B & Lu, Guangming & Liu, Yijun. (2011). "Resting-state brain organization revealed by functional covariance networks." PLoS One. [link].

Zhang, Ziqing & Sun, Shu & Yi, Ming & Wu, Xia & Ding, Yiming. (2015). "MIC as an appropriate method to construct the brain functional network." BioMed research international. [link].

Zhao, Tengda & Duan, Fei & Liao, Xuhong & Dai, Zhengjia & Cao, Miao & He, Yong & Shu, Ni. (2015). "Test-retest reliability of white matter structural brain networks: a multiband diffusion MRI study." Frontiers in human neuroscience. [link].

Zhong, Suyu & He, Yong & Gong, Gaolang. (2015). "Convergence and divergence across construction methods for human brain white matter networks: an assessment based on individual differences." Human brain mapping. [link].

Ziegler, Gabriel & Ridgway, Gerard R & Dahnke, Robert & Gaser, Christian & Alzheimers Disease Neuroimaging Initiative & others. (2014). "Individualized Gaussian process-based prediction and detection of local and global gray matter abnormalities in elderly subjects." NeuroImage. [link].

Zuo, XiNian & Ehmke, Ross & Mennes, Maarten & Imperati, Davide & Castellanos, F Xavier & Sporns, Olaf & Milham, Michael P. (2012). "Network centrality in the human functional connectome." Cerebral cortex. [link].

Zuo, XiNian & Kelly, Clare & Di Martino, Adriana & Mennes, Maarten & Margulies, Daniel S & Bangaru, Saroja & Grzadzinski, Rebecca & Evans, Alan C & Zang, YuFeng & Castellanos, F Xavier & others. (2010). "Growing together and growing apart: regional and sex differences in the lifespan developmental trajectories of functional homotopy." Journal of Neuroscience. [link].

Zuo, XiNian & Xu, Ting & Jiang, Lili & Yang, Zhi & Cao, XiaoYan & He, Yong & Zang, YuFeng & Castellanos, F Xavier & Milham, Michael P. (2013). "Toward reliable characterization of functional homogeneity in the human brain: preprocessing, scan duration, imaging resolution and computational space." Neuroimage. [link].

刘铁兵 & 姚文坡 & 宁新宝 & 倪黄晶 & 王俊. (2013). "功能磁共振成像的基本尺度熵分析." 物理学报. [link].

Peer-reviewed journal articles that used 1,000 Functional Connectomes scripts

Antonenko, Daria & Brauer, Jens & Meinzer, Marcus & Fengler, Anja & Kerti, Lucia & Friederici, Angela D & Floel, Agnes. (2013). "Functional and structural syntax networks in aging." Neuroimage. [link].

Antonenko, Daria & Meinzer, Marcus & Lindenberg, Robert & Witte, A Veronica & Floel, Agnes. (2012). "Grammar learning in older adults is linked to white matter microstructure and functional connectivity." Neuroimage. [link].

Argyelan, M & Lencz, T & Kaliora, S & Sarpal, DK & Weissman, N & Kingsley, PB & Malhotra, AK & Petrides, G. (2016). "Subgenual cingulate cortical activity predicts the efficacy of electroconvulsive therapy." Translational psychiatry. [link].

Argyelan, Miklos & Gallego, Juan A & Robinson, Delbert G & Ikuta, Toshikazu & Sarpal, Deepak & John, Majnu & Kingsley, Peter B & Kane, John & Malhotra, Anil K & Szeszko, Philip R. (2015). "Abnormal resting state fMRI activity predicts processing speed deficits in first-episode psychosis." Neuropsychopharmacology. [link].

Argyelan, Miklos & Ikuta, Toshikazu & DeRosse, Pamela & Braga, Raphael J & Burdick, Katherine E & John, Majnu & Kingsley, Peter B & Malhotra, Anil K & Szeszko, Philip R. (2013). "Resting-state fMRI connectivity impairment in schizophrenia and bipolar disorder." Schizophrenia bulletin. [link].

Barredo, Jennifer & Oztekin, Ilke & Badre, David. (2015). "Ventral fronto-temporal pathway supporting cognitive control of episodic memory retrieval." Cerebral Cortex. [link].

Barredo, Jennifer & Verstynen, Timothy D & Badre, David. (2016). "Organization of cortico-cortical pathways supporting memory retrieval across subregions of the left ventrolateral prefrontal cortex." Journal of neurophysiology. [link].

Behan, B & Connolly, CG & Datwani, S & Doucet, M & Ivanovic, J & Morioka, R & Stone, A & Watts, R & Smyth, B & Garavan, H. (2014). "Response inhibition and elevated parietal-cerebellar correlations in chronic adolescent cannabis users." Neuropharmacology. [link].

Bi, Yanzhi & Yuan, Kai & Guan, Yanyan & Cheng, Jiadong & Zhang, Yajuan & Li, Yangding & Yu, Dahua & Qin, Wei & Tian, Jie. (2016). "Altered resting state functional connectivity of anterior insula in young smokers." Brain imaging and behavior. [link].

Boot, Walter R & Sumner, Anna & Towne, Tyler J & Rodriguez, Paola & Anders Ericsson, K. (2016). "Applying Aspects of the Expert Performance Approach to Better Understand the Structure of Skill and Mechanisms of Skill Acquisition in Video Games." Topics in Cognitive Science. [link].

Calderone, Daniel J & Hoptman, Matthew J & Martinez, Antigona & NairCollins, Sangeeta & Mauro, Cristina J & Bar, Moshe & Javitt, Daniel C & Butler, Pamela D. (2013). "Contributions of low and high spatial frequency processing to impaired object recognition circuitry in schizophrenia." Cerebral cortex. [link].

Coulombe, MarieAndree & Erpelding, Nathalie & Kucyi, Aaron & Davis, Karen Deborah. (2016). "Intrinsic functional connectivity of periaqueductal gray subregions in humans." Human brain mapping. [link].

Dai, Tian & Guo, Ying & Alzheimers Disease Neuroimaging Initiative & others. (2016). "Predicting Individual Brain Functional Connectivity Using a Bayesian Hierarchical Model." NeuroImage. [link].

Dumas, Julie A & Makarewicz, Jenna & Schaubhut, Geoffrey J & Devins, Robert & Albert, Kimberly & Dittus, Kim & Newhouse, Paul A. (2013). "Chemotherapy altered brain functional connectivity in women with breast cancer: a pilot study." Brain imaging and behavior. [link].

Dun, Wanghuan & Yang, Jing & Yang, Ling & Ding, Dun & Ma, Xueying & Liang, FengLi & von Deneen, Karen M & Ma, Shaohui & Xu, Xiaoling & Liu, Jixin & others. (2016). "Abnormal structure and functional connectivity of the anterior insula at pain-free periovulation is associated with perceived pain during menstruation." Brain imaging and behavior. [link].

Fan, Lingzhong & Wang, Jiaojian & Zhang, Yu & Han, Wei & Yu, Chunshui & Jiang, Tianzi. (2014). "Connectivity-based parcellation of the human temporal pole using diffusion tensor imaging." Cerebral cortex. [link].

GarciaGarcia, I & Jurado, MA & Garolera, M & MarquesIturria, I & Horstmann, A & Segura, B & Pueyo, R & SenderPalacios, MJ & VernetVernet, M & Villringer, A & others. (2015). Functional network centrality in obesity: A resting-state and task fMRI study. Psychiatry. [link].

GarciaGarcia, Isabel & Jurado, Maria Angeles & Garolera, Maite & MarquesIturria, Idoia & Horstmann, Annette & Segura, Barbara & Pueyo, Roser & SenderPalacios, Maria Jose & VernetVernet, Maria & Villringer, Arno & others. (2015). "Functional network centrality in obesity: A resting-state and task fMRI study." Psychiatry Research: Neuroimaging. [link].

Gardini, Simona & Venneri, Annalena & Sambataro, Fabio & Cuetos, Fernando & Fasano, Fabrizio & Marchi, Massimo & Crisi, Girolamo & Caffarra, Paolo. (2015). "Increased functional connectivity in the default mode network in mild cognitive impairment: a maladaptive compensatory mechanism associated with poor semantic …." Journal of Alzheimer's Disease. [link].

GarzaVillarreal, Eduardo A & Jiang, Zhiguo & Vuust, Peter & Alcauter, Sarael & Vase, Lene & Pasaye, Erick H & CavazosRodriguez, Roberto & Brattico, Elvira & Jensen, Troels S & Barrios, Fernando A. (2015). "Music reduces pain and increases resting state fMRI BOLD signal amplitude in the left angular gyrus in fibromyalgia patients." Frontiers in psychology. [link].

Hashmi, Javeria A & Loggia, Marco L & Khan, Sheraz & Gao, Lei & Kim, Jieun & Napadow, Vitaly & Brown, Emery N & Akeju, Oluwaseun. (2017). "Dexmedetomidine Disrupts the Local and Global Efficiencies of Large-scale Brain Networks." The Journal of the American Society of Anesthesiologists. [link].

Herting, Megan M & Uban, Kristina A & Williams, Paige L & Gautam, Prapti & Huo, Yanling & Malee, Kathleen & Yogev, Ram & Csernansky, John & Wang, Lei & Nichols, Sharon & others. (2015). "Default mode connectivity in youth with perinatally acquired HIV." Medicine. [link].

Hoptman, Matthew J & Zuo, XiNian & DAngelo, Debra & Mauro, Cristina J & Butler, Pamela D & Milham, Michael P & Javitt, Daniel C. (2012). "Decreased interhemispheric coordination in schizophrenia: a resting state fMRI study." Schizophrenia research. [link].

Kantrowitz, Joshua T & Hoptman, Matthew J & Leitman, David I & Silipo, Gail & Javitt, Daniel C. (2014). "The 5% difference: early sensory processing predicts sarcasm perception in schizophrenia and schizo-affective disorder." Psychological medicine. [link].

Karch, Susanne & Keeser, Daniel & Hummer, Sebastian & Paolini, Marco & Kirsch, Valerie & Karali, Temmuz & Kupka, Michael & Rauchmann, BorisStephan & Chrobok, Agnieszka & Blautzik, Janusch & others. (2015). "Modulation of craving related brain responses using real-time fMRI in patients with alcohol use disorder." PloS one. [link].

Koyama, Maki S & Di Martino, Adriana & Kelly, Clare & Jutagir, Devika R & Sunshine, Jessica & Schwartz, Susan J & Castellanos, Francisco X & Milham, Michael P. (2013). "Cortical signatures of dyslexia and remediation: an intrinsic functional connectivity approach." PloS one. [link].

Koyama, Maki S & Di Martino, Adriana & Zuo, XiNian & Kelly, Clare & Mennes, Maarten & Jutagir, Devika R & Castellanos, F Xavier & Milham, Michael P. (2011). "Resting-state functional connectivity indexes reading competence in children and adults." Journal of Neuroscience. [link].

Kupka, Michael Josef. (2016). Transkranielle Gleichstromstimulation (tDCS) bei Schizophreniepatienten mit Negativsymptomatik. [link].

Liu, Jixin & Lan, Lei & Mu, Junya & Zhao, Ling & Yuan, Kai & Zhang, Yi & Huang, Liyu & Liang, Fanrong & Tian, Jie. (2015). "Genetic contribution of catechol‐O‐methyltransferase in hippocampal structural and functional changes of female migraine sufferers." Human brain mapping. [link].

Mather, Mara & Nga, Lin. (2013). "Age differences in thalamic low frequency fluctuations." Neuroreport. [link].

Mikell, Charles B & Banks, Garrett P & Frey, HansPeter & Youngerman, Brett E & Nelp, Taylor B & Karas, Patrick J & Chan, Andrew K & Voss, Henning U & Connolly, E Sander & Claassen, Jan. (2015). "Frontal networks associated with command following after hemorrhagic stroke." Stroke. [link].

Monti, Martin M & Lutkenhoff, Evan S & Rubinov, Mikail & Boveroux, Pierre & Vanhaudenhuyse, Audrey & Gosseries, Olivia & Bruno, MarieAurelie & Noirhomme, Quentin & Boly, Melanie & Laureys, Steven. (2013). "Dynamic change of global and local information processing in propofol-induced loss and recovery of consciousness." PLoS Comput Biol. [link].

OvadiaCaro, Smadar & Villringer, Kersten & Fiebach, Jochen & Jungehulsing, Gerhard Jan & Van Der Meer, Elke & Margulies, Daniel S & Villringer, Arno. (2013). "Longitudinal effects of lesions on functional networks after stroke." Journal of Cerebral Blood Flow and Metabolism. [link].

Peng, ZW & Xu, T & He, QH & Shi, CZ & Wei, Z & Miao, GD & Jing, J & Lim, KO & Zuo, XN & Chan, RCK. (2014). "Default network connectivity as a vulnerability marker for obsessive compulsive disorder." Psychological medicine. [link].

Porter, James N & Roy, Amy K & Benson, Brenda & Carlisi, Christina & Collins, Paul F & Leibenluft, Ellen & Pine, Daniel S & Luciana, Monica & Ernst, Monique. (2015). "Age-related changes in the intrinsic functional connectivity of the human ventral vs. dorsal striatum from childhood to middle age." Developmental cognitive neuroscience. [link].

Quinque, Eva M & Karger, Stefan & Arelin, Katrin & Schroeter, Matthias L & Kratzsch, Jurgen & Villringer, Arno. (2014). "Structural and functional MRI study of the brain, cognition and mood in long-term adequately treated Hashimoto's thyroiditis." Psychoneuroendocrinology. [link].

Sambataro, Fabio & Wolf, ND & Pennuto, Maria & Vasic, Nenad & Wolf, RC. (2014). "Revisiting default mode network function in major depression: evidence for disrupted subsystem connectivity." Psychological medicine. [link].

Sarpal, Deepak K & Robinson, Delbert G & Lencz, Todd & Argyelan, Miklos & Ikuta, Toshikazu & Karlsgodt, Katherine & Gallego, Juan A & Kane, John M & Szeszko, Philip R & Malhotra, Anil K. (2015). "Antipsychotic treatment and functional connectivity of the striatum in first-episode schizophrenia." JAMA psychiatry. [link].

Satterthwaite, Theodore D & Wolf, Daniel H & Loughead, James & Ruparel, Kosha & Elliott, Mark A & Hakonarson, Hakon & Gur, Ruben C & Gur, Raquel E. (2012). "Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth." Neuroimage. [link].

Shpaner, Marina & Kelly, Clare & Lieberman, Greg & Perelman, Hayley & Davis, Marcia & Keefe, Francis J & Naylor, Magdalena R. (2014). "Unlearning chronic pain: a randomized controlled trial to investigate changes in intrinsic brain connectivity following cognitive behavioral therapy." NeuroImage: Clinical. [link].

Sinclair, Benjamin & Hansell, Narelle K & Blokland, Gabriella AM & Martin, Nicholas G & Thompson, Paul M & Breakspear, Michael & de Zubicaray, Greig I & Wright, Margaret J & McMahon, Katie L. (2015). "Heritability of the network architecture of intrinsic brain functional connectivity." Neuroimage. [link].

Visintin, Eleonora & De Panfilis, Chiara & Antonucci, Camilla & Capecci, Cinzia & Marchesi, Carlo & Sambataro, Fabio. (2015). "Parsing the intrinsic networks underlying attention: a resting state study." Behavioural brain research. [link].

Wang, Jiaojian & Fan, Lingzhong & Zhang, Yu & Liu, Yong & Jiang, Di & Zhang, Yuanchao & Yu, Chunshui & Jiang, Tianzi. (2012). "Tractography‐based parcellation of the human left inferior parietal lobule." Neuroimage. [link].

Wang, Jiaojian & Yang, Yong & Fan, Lingzhong & Xu, Jinping & Li, Changhai & Liu, Yong & Fox, Peter T & Eickhoff, Simon B & Yu, Chunshui & Jiang, Tianzi. (2015). "Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches." Human brain mapping. [link].

Wang, Jiaojian & Zhang, Jinfeng & Rong, Menglin & Wei, Xuehu & Zheng, Dingchen & Fox, Peter T & Eickhoff, Simon B & Jiang, Tianzi. (2016). "Functional topography of the right inferior parietal lobule structured by anatomical connectivity profiles." Human Brain Mapping. [link].

Weiler, Marina & Teixeira, Camila Vieira Ligo & Nogueira, Mateus Henrique & de Campos, Brunno Machado & Damasceno, Benito Pereira & Cendes, Fernando & Balthazar, Marcio Luiz Figueredo. (2014). "Differences and the relationship in default mode network intrinsic activity and functional connectivity in mild Alzheimer's disease and amnestic mild cognitive …." Brain connectivity. [link].

Wilson, DA & Hoptman, MJ & Gerum, SV & Guilfoyle, DN. (2011). "State-dependent functional connectivity of rat olfactory system assessed by fMRI." Neuroscience letters. [link].

Witte, A Veronica & Kerti, Lucia & Margulies, Daniel S & Floel, Agnes. (2014). "Effects of resveratrol on memory performance, hippocampal functional connectivity, and glucose metabolism in healthy older adults." Journal of Neuroscience. [link].

Witte, A Veronica & Kobe, Theresa & Kerti, Lucia & Rujescu, Dan & Floel, Agnes. (2016). "Impact of KIBRA polymorphism on memory function and the hippocampus in older adults." Neuropsychopharmacology. [link].

Wozniak, Jeffrey R & Mueller, Bryon A & Bell, Christopher J & Muetzel, Ryan L & Hoecker, Heather L & Boys, Christopher J & Lim, Kelvin O. (2013). "Global functional connectivity abnormalities in children with fetal alcohol spectrum disorders." Alcoholism: Clinical and experimental research. [link].

Xu, Jinping & Wang, Jiaojian & Fan, Lingzhong & Li, Hai & Zhang, Wen & Hu, Qingmao & Jiang, Tianzi. (2014). "Tractography-based Parcellation of the Human Middle Temporal Gyrus." Scientific reports. [link].

Yuan, Kai & Zhao, Ling & Cheng, Ping & Yu, Dahua & Zhao, Limei & Dong, Tao & Xing, Lihong & Bi, Yanzhi & Yang, Xuejuan & von Deneen, Karen M & others. (2013). "Altered structure and resting-state functional connectivity of the basal ganglia in migraine patients without aura." The Journal of Pain. [link].

Zhang, Gang & Yin, Hao & Zhou, YouLong & Han, HongYan & Wu, YunHu & Xing, Wei & Xu, HongZhou & Zuo, XiNian. (2012). "Capturing amplitude changes of low-frequency fluctuations in functional magnetic resonance imaging signal: a pilot acupuncture study on NeiGuan (PC6)." The Journal of Alternative and Complementary Medicine. [link].

Zhang, Wen & Wang, Jiaojian & Fan, Lingzhong & Zhang, Yuanchao & Fox, Peter T & Eickhoff, Simon B & Yu, Chunshui & Jiang, Tianzi. (2016). "Functional organization of the fusiform gyrus revealed with connectivity profiles." Human brain mapping. [link].

Zhou, Yongxia & Milham, M & Zuo, XN & Kelly, Clare & Jaggi, Hina & Herbert, Joseph & Grossman, Robert I & Ge, Yulin. (2013). "Functional homotopic changes in multiple sclerosis with resting-state functional MR imaging." American Journal of Neuroradiology. [link].

Zuo, XiNian & Xing, XiuXia. (2011). "Effects of non-local diffusion on structural MRI preprocessing and default network mapping: statistical comparisons with isotropic/anisotropic diffusion." PLoS One. [link].

Peer-reviewed journal articles that used ABIDE scripts

Liu, Wei & Awate, Suyash P & Anderson, Jeffrey S & Fletcher, P Thomas. (2014). "A functional network estimation method of resting-state fMRI using a hierarchical Markov random field." NeuroImage. [link].

Orr, Catherine & Morioka, Rowen & Behan, Brendan & Datwani, Sameer & Doucet, Marika & Ivanovic, Jelena & Kelly, Clare & Weierstall, Karen & Watts, Richard & Smyth, Bobby & others. (2013). "Altered resting-state connectivity in adolescent cannabis users." The American journal of drug and alcohol abuse. [link].

Orr, Catherine A & Albaugh, Matthew D & Watts, Richard & Garavan, Hugh & Andrews, Trevor & Nickerson, Joshua P & Gonyea, Jay & Hipko, Scott & Zweber, Cole & Logan, Katherine & others. (2016). "Neuroimaging biomarkers of a history of concussion observed in asymptomatic young athletes." Journal of neurotrauma. [link].

Sato Jr, JR & Salum, GA & Gadelha, A & Crossley, N & Vieira, G & Jackowski, AP. (2015). King's Research Portal. [link].

Peer-reviewed journal articles that used ADHD-200 scripts

Sato Jr, JR & Salum, GA & Gadelha, A & Crossley, N & Vieira, G & Jackowski, AP. (2015). King's Research Portal. [link].

Peer-reviewed journal articles that used NKI-Rockland scripts

Peer-reviewed journal articles that used CORR scripts

Wang, Yikai & Kang, Jian & Kemmer, Phebe B & Guo, Ying. (2016). "An Efficient and Reliable Statistical Method for Estimating Functional Connectivity in Large Scale Brain Networks Using Partial Correlation." Frontiers in neuroscience. [link].

Peer-reviewed journal articles that used unspecified scripts

Peer-reviewed journal articles that used 1,000 Functional Connectomes scripts

Antonenko, Daria & Brauer, Jens & Meinzer, Marcus & Fengler, Anja & Kerti, Lucia & Friederici, Angela D & Floel, Agnes. (2013). "Functional and structural syntax networks in aging." Neuroimage. [link].

Antonenko, Daria & Meinzer, Marcus & Lindenberg, Robert & Witte, A Veronica & Floel, Agnes. (2012). "Grammar learning in older adults is linked to white matter microstructure and functional connectivity." Neuroimage. [link].

Argyelan, M & Lencz, T & Kaliora, S & Sarpal, DK & Weissman, N & Kingsley, PB & Malhotra, AK & Petrides, G. (2016). "Subgenual cingulate cortical activity predicts the efficacy of electroconvulsive therapy." Translational psychiatry. [link].

Argyelan, Miklos & Gallego, Juan A & Robinson, Delbert G & Ikuta, Toshikazu & Sarpal, Deepak & John, Majnu & Kingsley, Peter B & Kane, John & Malhotra, Anil K & Szeszko, Philip R. (2015). "Abnormal resting state fMRI activity predicts processing speed deficits in first-episode psychosis." Neuropsychopharmacology. [link].

Argyelan, Miklos & Ikuta, Toshikazu & DeRosse, Pamela & Braga, Raphael J & Burdick, Katherine E & John, Majnu & Kingsley, Peter B & Malhotra, Anil K & Szeszko, Philip R. (2013). "Resting-state fMRI connectivity impairment in schizophrenia and bipolar disorder." Schizophrenia bulletin. [link].

Barredo, Jennifer & Oztekin, Ilke & Badre, David. (2015). "Ventral fronto-temporal pathway supporting cognitive control of episodic memory retrieval." Cerebral Cortex. [link].

Barredo, Jennifer & Verstynen, Timothy D & Badre, David. (2016). "Organization of cortico-cortical pathways supporting memory retrieval across subregions of the left ventrolateral prefrontal cortex." Journal of neurophysiology. [link].

Behan, B & Connolly, CG & Datwani, S & Doucet, M & Ivanovic, J & Morioka, R & Stone, A & Watts, R & Smyth, B & Garavan, H. (2014). "Response inhibition and elevated parietal-cerebellar correlations in chronic adolescent cannabis users." Neuropharmacology. [link].

Bi, Yanzhi & Yuan, Kai & Guan, Yanyan & Cheng, Jiadong & Zhang, Yajuan & Li, Yangding & Yu, Dahua & Qin, Wei & Tian, Jie. (2016). "Altered resting state functional connectivity of anterior insula in young smokers." Brain imaging and behavior. [link].

Boot, Walter R & Sumner, Anna & Towne, Tyler J & Rodriguez, Paola & Anders Ericsson, K. (2016). "Applying Aspects of the Expert Performance Approach to Better Understand the Structure of Skill and Mechanisms of Skill Acquisition in Video Games." Topics in Cognitive Science. [link].

Calderone, Daniel J & Hoptman, Matthew J & Martinez, Antigona & NairCollins, Sangeeta & Mauro, Cristina J & Bar, Moshe & Javitt, Daniel C & Butler, Pamela D. (2013). "Contributions of low and high spatial frequency processing to impaired object recognition circuitry in schizophrenia." Cerebral cortex. [link].

Coulombe, MarieAndree & Erpelding, Nathalie & Kucyi, Aaron & Davis, Karen Deborah. (2016). "Intrinsic functional connectivity of periaqueductal gray subregions in humans." Human brain mapping. [link].

Dai, Tian & Guo, Ying & Alzheimers Disease Neuroimaging Initiative & others. (2016). "Predicting Individual Brain Functional Connectivity Using a Bayesian Hierarchical Model." NeuroImage. [link].

Dumas, Julie A & Makarewicz, Jenna & Schaubhut, Geoffrey J & Devins, Robert & Albert, Kimberly & Dittus, Kim & Newhouse, Paul A. (2013). "Chemotherapy altered brain functional connectivity in women with breast cancer: a pilot study." Brain imaging and behavior. [link].

Dun, Wanghuan & Yang, Jing & Yang, Ling & Ding, Dun & Ma, Xueying & Liang, FengLi & von Deneen, Karen M & Ma, Shaohui & Xu, Xiaoling & Liu, Jixin & others. (2016). "Abnormal structure and functional connectivity of the anterior insula at pain-free periovulation is associated with perceived pain during menstruation." Brain imaging and behavior. [link].

Fan, Lingzhong & Wang, Jiaojian & Zhang, Yu & Han, Wei & Yu, Chunshui & Jiang, Tianzi. (2014). "Connectivity-based parcellation of the human temporal pole using diffusion tensor imaging." Cerebral cortex. [link].

GarciaGarcia, I & Jurado, MA & Garolera, M & MarquesIturria, I & Horstmann, A & Segura, B & Pueyo, R & SenderPalacios, MJ & VernetVernet, M & Villringer, A & others. (2015). Functional network centrality in obesity: A resting-state and task fMRI study. Psychiatry. [link].

GarciaGarcia, Isabel & Jurado, Maria Angeles & Garolera, Maite & MarquesIturria, Idoia & Horstmann, Annette & Segura, Barbara & Pueyo, Roser & SenderPalacios, Maria Jose & VernetVernet, Maria & Villringer, Arno & others. (2015). "Functional network centrality in obesity: A resting-state and task fMRI study." Psychiatry Research: Neuroimaging. [link].

Gardini, Simona & Venneri, Annalena & Sambataro, Fabio & Cuetos, Fernando & Fasano, Fabrizio & Marchi, Massimo & Crisi, Girolamo & Caffarra, Paolo. (2015). "Increased functional connectivity in the default mode network in mild cognitive impairment: a maladaptive compensatory mechanism associated with poor semantic …." Journal of Alzheimer's Disease. [link].

GarzaVillarreal, Eduardo A & Jiang, Zhiguo & Vuust, Peter & Alcauter, Sarael & Vase, Lene & Pasaye, Erick H & CavazosRodriguez, Roberto & Brattico, Elvira & Jensen, Troels S & Barrios, Fernando A. (2015). "Music reduces pain and increases resting state fMRI BOLD signal amplitude in the left angular gyrus in fibromyalgia patients." Frontiers in psychology. [link].

Hashmi, Javeria A & Loggia, Marco L & Khan, Sheraz & Gao, Lei & Kim, Jieun & Napadow, Vitaly & Brown, Emery N & Akeju, Oluwaseun. (2017). "Dexmedetomidine Disrupts the Local and Global Efficiencies of Large-scale Brain Networks." The Journal of the American Society of Anesthesiologists. [link].

Herting, Megan M & Uban, Kristina A & Williams, Paige L & Gautam, Prapti & Huo, Yanling & Malee, Kathleen & Yogev, Ram & Csernansky, John & Wang, Lei & Nichols, Sharon & others. (2015). "Default mode connectivity in youth with perinatally acquired HIV." Medicine. [link].

Hoptman, Matthew J & Zuo, XiNian & DAngelo, Debra & Mauro, Cristina J & Butler, Pamela D & Milham, Michael P & Javitt, Daniel C. (2012). "Decreased interhemispheric coordination in schizophrenia: a resting state fMRI study." Schizophrenia research. [link].

Kantrowitz, Joshua T & Hoptman, Matthew J & Leitman, David I & Silipo, Gail & Javitt, Daniel C. (2014). "The 5% difference: early sensory processing predicts sarcasm perception in schizophrenia and schizo-affective disorder." Psychological medicine. [link].

Karch, Susanne & Keeser, Daniel & Hummer, Sebastian & Paolini, Marco & Kirsch, Valerie & Karali, Temmuz & Kupka, Michael & Rauchmann, BorisStephan & Chrobok, Agnieszka & Blautzik, Janusch & others. (2015). "Modulation of craving related brain responses using real-time fMRI in patients with alcohol use disorder." PloS one. [link].

Koyama, Maki S & Di Martino, Adriana & Kelly, Clare & Jutagir, Devika R & Sunshine, Jessica & Schwartz, Susan J & Castellanos, Francisco X & Milham, Michael P. (2013). "Cortical signatures of dyslexia and remediation: an intrinsic functional connectivity approach." PloS one. [link].

Koyama, Maki S & Di Martino, Adriana & Zuo, XiNian & Kelly, Clare & Mennes, Maarten & Jutagir, Devika R & Castellanos, F Xavier & Milham, Michael P. (2011). "Resting-state functional connectivity indexes reading competence in children and adults." Journal of Neuroscience. [link].

Kupka, Michael Josef. (2016). Transkranielle Gleichstromstimulation (tDCS) bei Schizophreniepatienten mit Negativsymptomatik. [link].

Liu, Jixin & Lan, Lei & Mu, Junya & Zhao, Ling & Yuan, Kai & Zhang, Yi & Huang, Liyu & Liang, Fanrong & Tian, Jie. (2015). "Genetic contribution of catechol‐O‐methyltransferase in hippocampal structural and functional changes of female migraine sufferers." Human brain mapping. [link].

Mather, Mara & Nga, Lin. (2013). "Age differences in thalamic low frequency fluctuations." Neuroreport. [link].

Mikell, Charles B & Banks, Garrett P & Frey, HansPeter & Youngerman, Brett E & Nelp, Taylor B & Karas, Patrick J & Chan, Andrew K & Voss, Henning U & Connolly, E Sander & Claassen, Jan. (2015). "Frontal networks associated with command following after hemorrhagic stroke." Stroke. [link].

Monti, Martin M & Lutkenhoff, Evan S & Rubinov, Mikail & Boveroux, Pierre & Vanhaudenhuyse, Audrey & Gosseries, Olivia & Bruno, MarieAurelie & Noirhomme, Quentin & Boly, Melanie & Laureys, Steven. (2013). "Dynamic change of global and local information processing in propofol-induced loss and recovery of consciousness." PLoS Comput Biol. [link].

OvadiaCaro, Smadar & Villringer, Kersten & Fiebach, Jochen & Jungehulsing, Gerhard Jan & Van Der Meer, Elke & Margulies, Daniel S & Villringer, Arno. (2013). "Longitudinal effects of lesions on functional networks after stroke." Journal of Cerebral Blood Flow and Metabolism. [link].

Peng, ZW & Xu, T & He, QH & Shi, CZ & Wei, Z & Miao, GD & Jing, J & Lim, KO & Zuo, XN & Chan, RCK. (2014). "Default network connectivity as a vulnerability marker for obsessive compulsive disorder." Psychological medicine. [link].

Porter, James N & Roy, Amy K & Benson, Brenda & Carlisi, Christina & Collins, Paul F & Leibenluft, Ellen & Pine, Daniel S & Luciana, Monica & Ernst, Monique. (2015). "Age-related changes in the intrinsic functional connectivity of the human ventral vs. dorsal striatum from childhood to middle age." Developmental cognitive neuroscience. [link].

Quinque, Eva M & Karger, Stefan & Arelin, Katrin & Schroeter, Matthias L & Kratzsch, Jurgen & Villringer, Arno. (2014). "Structural and functional MRI study of the brain, cognition and mood in long-term adequately treated Hashimoto's thyroiditis." Psychoneuroendocrinology. [link].

Sambataro, Fabio & Wolf, ND & Pennuto, Maria & Vasic, Nenad & Wolf, RC. (2014). "Revisiting default mode network function in major depression: evidence for disrupted subsystem connectivity." Psychological medicine. [link].

Sarpal, Deepak K & Robinson, Delbert G & Lencz, Todd & Argyelan, Miklos & Ikuta, Toshikazu & Karlsgodt, Katherine & Gallego, Juan A & Kane, John M & Szeszko, Philip R & Malhotra, Anil K. (2015). "Antipsychotic treatment and functional connectivity of the striatum in first-episode schizophrenia." JAMA psychiatry. [link].

Satterthwaite, Theodore D & Wolf, Daniel H & Loughead, James & Ruparel, Kosha & Elliott, Mark A & Hakonarson, Hakon & Gur, Ruben C & Gur, Raquel E. (2012). "Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth." Neuroimage. [link].

Shpaner, Marina & Kelly, Clare & Lieberman, Greg & Perelman, Hayley & Davis, Marcia & Keefe, Francis J & Naylor, Magdalena R. (2014). "Unlearning chronic pain: a randomized controlled trial to investigate changes in intrinsic brain connectivity following cognitive behavioral therapy." NeuroImage: Clinical. [link].

Sinclair, Benjamin & Hansell, Narelle K & Blokland, Gabriella AM & Martin, Nicholas G & Thompson, Paul M & Breakspear, Michael & de Zubicaray, Greig I & Wright, Margaret J & McMahon, Katie L. (2015). "Heritability of the network architecture of intrinsic brain functional connectivity." Neuroimage. [link].

Visintin, Eleonora & De Panfilis, Chiara & Antonucci, Camilla & Capecci, Cinzia & Marchesi, Carlo & Sambataro, Fabio. (2015). "Parsing the intrinsic networks underlying attention: a resting state study." Behavioural brain research. [link].

Wang, Jiaojian & Fan, Lingzhong & Zhang, Yu & Liu, Yong & Jiang, Di & Zhang, Yuanchao & Yu, Chunshui & Jiang, Tianzi. (2012). "Tractography‐based parcellation of the human left inferior parietal lobule." Neuroimage. [link].

Wang, Jiaojian & Yang, Yong & Fan, Lingzhong & Xu, Jinping & Li, Changhai & Liu, Yong & Fox, Peter T & Eickhoff, Simon B & Yu, Chunshui & Jiang, Tianzi. (2015). "Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches." Human brain mapping. [link].

Wang, Jiaojian & Zhang, Jinfeng & Rong, Menglin & Wei, Xuehu & Zheng, Dingchen & Fox, Peter T & Eickhoff, Simon B & Jiang, Tianzi. (2016). "Functional topography of the right inferior parietal lobule structured by anatomical connectivity profiles." Human Brain Mapping. [link].

Weiler, Marina & Teixeira, Camila Vieira Ligo & Nogueira, Mateus Henrique & de Campos, Brunno Machado & Damasceno, Benito Pereira & Cendes, Fernando & Balthazar, Marcio Luiz Figueredo. (2014). "Differences and the relationship in default mode network intrinsic activity and functional connectivity in mild Alzheimer's disease and amnestic mild cognitive …." Brain connectivity. [link].

Wilson, DA & Hoptman, MJ & Gerum, SV & Guilfoyle, DN. (2011). "State-dependent functional connectivity of rat olfactory system assessed by fMRI." Neuroscience letters. [link].

Witte, A Veronica & Kerti, Lucia & Margulies, Daniel S & Floel, Agnes. (2014). "Effects of resveratrol on memory performance, hippocampal functional connectivity, and glucose metabolism in healthy older adults." Journal of Neuroscience. [link].

Witte, A Veronica & Kobe, Theresa & Kerti, Lucia & Rujescu, Dan & Floel, Agnes. (2016). "Impact of KIBRA polymorphism on memory function and the hippocampus in older adults." Neuropsychopharmacology. [link].

Wozniak, Jeffrey R & Mueller, Bryon A & Bell, Christopher J & Muetzel, Ryan L & Hoecker, Heather L & Boys, Christopher J & Lim, Kelvin O. (2013). "Global functional connectivity abnormalities in children with fetal alcohol spectrum disorders." Alcoholism: Clinical and experimental research. [link].

Xu, Jinping & Wang, Jiaojian & Fan, Lingzhong & Li, Hai & Zhang, Wen & Hu, Qingmao & Jiang, Tianzi. (2014). "Tractography-based Parcellation of the Human Middle Temporal Gyrus." Scientific reports. [link].

Yuan, Kai & Zhao, Ling & Cheng, Ping & Yu, Dahua & Zhao, Limei & Dong, Tao & Xing, Lihong & Bi, Yanzhi & Yang, Xuejuan & von Deneen, Karen M & others. (2013). "Altered structure and resting-state functional connectivity of the basal ganglia in migraine patients without aura." The Journal of Pain. [link].

Zhang, Gang & Yin, Hao & Zhou, YouLong & Han, HongYan & Wu, YunHu & Xing, Wei & Xu, HongZhou & Zuo, XiNian. (2012). "Capturing amplitude changes of low-frequency fluctuations in functional magnetic resonance imaging signal: a pilot acupuncture study on NeiGuan (PC6)." The Journal of Alternative and Complementary Medicine. [link].

Zhang, Wen & Wang, Jiaojian & Fan, Lingzhong & Zhang, Yuanchao & Fox, Peter T & Eickhoff, Simon B & Yu, Chunshui & Jiang, Tianzi. (2016). "Functional organization of the fusiform gyrus revealed with connectivity profiles." Human brain mapping. [link].

Zhou, Yongxia & Milham, M & Zuo, XN & Kelly, Clare & Jaggi, Hina & Herbert, Joseph & Grossman, Robert I & Ge, Yulin. (2013). "Functional homotopic changes in multiple sclerosis with resting-state functional MR imaging." American Journal of Neuroradiology. [link].

Zuo, XiNian & Xing, XiuXia. (2011). "Effects of non-local diffusion on structural MRI preprocessing and default network mapping: statistical comparisons with isotropic/anisotropic diffusion." PLoS One. [link].

Peer-reviewed journal articles that cited 1,000 Functional Connectomes data

Abela, Eugenio & Rummel, Christian & Hauf, Martinus & Weisstanner, Christian & Schindler, K & Wiest, Roland. (2014). "Neuroimaging of epilepsy: lesions, networks, oscillations." Clinical neuroradiology. [link].

Adolf, Daniela & Weston, Snezhana & Baecke, Sebastian & Luchtmann, Michael & Bernarding, Johannes & Kropf, Siegfried. (2014). "Increasing the reliability of data analysis of functional magnetic resonance imaging by applying a new blockwise permutation method." Frontiers in neuroinformatics. [link].

Altmann, A & Schroter, Manuel S & Spoormaker, Victor I & Kiem, SA & Jordan, D & Ilg, R & Bullmore, Edward T & Greicius, Michael D & Czisch, Michael & Samann, Philipp G. (2016). "Validation of non-REM sleep stage decoding from resting state fMRI using linear support vector machines." Neuroimage. [link].

Batalla, Albert & Bhattacharyya, Sagnik & Yucel, Murat & FusarPoli, Paolo & Crippa, Jose Alexandre & Nogue, Santiago & Torrens, Marta & Pujol, Jesus & Farre, Magi & MartinSantos, Rocio. (2013). "Structural and functional imaging studies in chronic cannabis users: a systematic review of adolescent and adult findings." PloS one. [link].

Birn, Rasmus M & Molloy, Erin K & Patriat, Remi & Parker, Taurean & Meier, Timothy B & Kirk, Gregory R & Nair, Veena A & Meyerand, M Elizabeth & Prabhakaran, Vivek. (2013). "The effect of scan length on the reliability of resting-state fMRI connectivity estimates." Neuroimage. [link].

Cabral, Joana RB. (20). Brain activity during rest. [link].

Camerra, Alessandro & Shieh, Jin & Palpanas, Themis & Rakthanmanon, Thanawin & Keogh, Eamonn. (2014). "Beyond one billion time series: indexing and mining very large time series collections with iSAX2+." Knowledge and information systems. [link].

Carp, Joshua. (2012). "On the plurality of (methodological) worlds: estimating the analytic flexibility of fMRI experiments." Frontiers in neuroscience. [link].

Congdon, Eliza & Poldrack, Russell A & Freimer, Nelson B. (2010). "Neurocognitive phenotypes and genetic dissection of disorders of brain and behavior." Neuron. [link].

Davis, F Caroline & Knodt, Annchen R & Sporns, Olaf & Lahey, Benjamin B & Zald, David H & Brigidi, Bart D & Hariri, Ahmad R. (2013). "Impulsivity and the modular organization of resting-state neural networks." Cerebral Cortex. [link].

Dickie, David Alexander & Job, Dominic E & Poole, Ian & Ahearn, Trevor S & Staff, Roger T & Murray, Alison D & Wardlaw, Joanna M. (2012). "Do brain image databanks support understanding of normal ageing brain structure? A systematic review." European radiology. [link].

Dickinson, Philip & Looper, Karl J. (2012). "Psychogenic nonepileptic seizures: a current overview." Epilepsia. [link].

Dubois, Julien & Adolphs, Ralph. (2016). "Building a science of individual differences from fMRI." Trends in cognitive sciences. [link].

Farber, Gregory K. (2016). "Can data repositories help find effective treatments for complex diseases? Submitted to Progress in Neurobiology." Progress in neurobiology. [link].

Fei, Fei & Jie, Biao & Zhang, Daoqiang. (2014). "Frequent and discriminative subnetwork mining for mild cognitive impairment classification." Brain connectivity. [link].

Ferguson, Adam R & Nielson, Jessica L & Cragin, Melissa H & Bandrowski, Anita E & Martone, Maryann E. (2014). "Big data from small data: data-sharing in the'long tail'of neuroscience." Nature neuroscience. [link].

Ferreira, Luiz Kobuti & Busatto, Geraldo F. (2013). "Resting-state functional connectivity in normal brain aging." Neuroscience and Biobehavioral Reviews. [link].

Ganger, Sebastian & Hahn, Andreas & Kublbock, Martin & Kranz, Georg S & Spies, Marie & Vanicek, Thomas & Seiger, Rene & Sladky, Ronald & Windischberger, Christian & Kasper, Siegfried & others. (2015). "Comparison of continuously acquired resting state and extracted analogues from active tasks." Human brain mapping. [link].

Garrett, Douglas D & SamanezLarkin, Gregory R & MacDonald, Stuart WS & Lindenberger, Ulman & McIntosh, Anthony R & Grady, Cheryl L. (2013). "Moment-to-moment brain signal variability: A next frontier in human brain mapping?." Neuroscience and Biobehavioral Reviews. [link].

Hall, Dan & Huerta, Michael F & McAuliffe, Matthew J & Farber, Gregory K. (2012). "Sharing heterogeneous data: the national database for autism research." Neuroinformatics. [link].

Holschneider, Daniel P & Wang, Zhuo & Pang, Raina D. (2014). "Functional connectivity-based parcellation and connectome of cortical midline structures in the mouse: a perfusion autoradiography study." Frontiers in neuroinformatics. [link].

Hsu, AiLing & Chou, KunHsien & Chao, YiPing & Fan, HsinYa & Wu, Changwei W & Chen, JyhHorng. (2016). "Physiological Contribution in Spontaneous Oscillations: An Approximate Quality-Assurance Index for Resting-State fMRI Signals." PloS one. [link].

Huang, Lejian & Wang, Xue & Baliki, Marwan N & Wang, Lei & Apkarian, A Vania & Parrish, Todd B. (2012). "Reproducibility of structural, resting-state BOLD and DTI data between identical scanners." PLoS One. [link].

Huang, Shuai & Chaovalitwongse, W Art. (2015). Computational Optimization and Statistical Methods for Big Data Analytics: Applications in Neuroimaging. [link].

Insel, TR & Voon, V & Nye, JS & Brown, Verity Joy & Altevogt, BM & Bullmore, ET & Goodwin, GM & Howard, RJ & Kupfer, DJ & Malloch, G & others. (2013). "Innovative solutions to novel drug development in mental health." Neuroscience and Biobehavioral Reviews. [link].

James, G Andrew & Tripathi, Shanti Prakash & Kilts, Clinton D. (2014). "Estimating brain network activity through back-projection of ICA components to GLM maps." Neuroscience letters. [link].

Jbabdi, Saad & JohansenBerg, Heidi. (2011). "Tractography: where do we go from here?." Brain connectivity. [link].

Jiang, Tianzi. (2013). "Brainnetome: a new-ome to understand the brain and its disorders." Neuroimage. [link].

Jovicich, Jorge & Minati, Ludovico & Marizzoni, Moira & Marchitelli, Rocco & SalaLlonch, Roser & BartresFaz, David & Arnold, Jennifer & Benninghoff, Jens & Fiedler, Ute & Roccatagliata, Luca & others. (2016). "Longitudinal reproducibility of default-mode network connectivity in healthy elderly participants: A multicentric resting-state fMRI study." Neuroimage. [link].

Kalinichenko, Leonid Andreevich & Kovalev, Dmitrii Yu & Kovaleva, Dana Aleksandrovna & Malkov, Oleg Yurevich. (2015). "Methods and tools for hypothesis-driven research support: A survey." Информатика и её применения. [link].

Kim, Eun Young & Johnson, Hans J. (2013). "Robust multi-site MR data processing: iterative optimization of bias correction, tissue classification, and registration." Frontiers in neuroinformatics. [link].

Landman, Bennett A & Huang, Alan J & Gifford, Aliya & Vikram, Deepti S & Lim, Issel Anne L & Farrell, Jonathan AD & Bogovic, John A & Hua, Jun & Chen, Min & Jarso, Samson & others. (2011). "Multi-parametric neuroimaging reproducibility: a 3-T resource study." Neuroimage. [link].

Li, Sun & Qingjiu, Cao & Xiangyn, L & others. (2009). Abnormal functional connectivity between anterior cingulate and the default-mode network in drug-naïve boys with attention deficit hyperactivity disorder. [link].

Loth, Eva & Carvalho, Fabiana & Schumann, Gunter. (2011). "The contribution of imaging genetics to the development of predictive markers for addictions." Trends in Cognitive Sciences. [link].

Martins, Nuno RB & Erlhagen, Wolfram & Freitas Jr, Robert A. (2016). "Human Connectome Mapping and Monitoring Using Neuronanorobots." Journal of Evolution and Technology. [link].

Nair, Veena A & Young, Brittany M & La, Christian & Reiter, Peter & Nadkarni, Tanvi N & Song, Jie & Vergun, Svyatoslav & Addepally, Naga Saranya & Mylavarapu, Krishna & Swartz, Jennifer L & others. (2015). "Functional connectivity changes in the language network during stroke recovery." Annals of clinical and translational neurology. [link].

Nosek, Brian A & Spies, Jeffrey R & Motyl, Matt. (2012). "Scientific utopia: II. Restructuring incentives and practices to promote truth over publishability." Perspectives on Psychological Science. [link].

Nymberg, Charlotte & Jia, Tianye & Ruggeri, Barbara & Schumann, Gunter. (2013). "Analytical strategies for large imaging genetic datasets: experiences from the IMAGEN study." Annals of the New York Academy of Sciences. [link].

Onoda, Keiichi & Ishihara, Masaki & Yamaguchi, Shuhei. (2012). "Decreased functional connectivity by aging is associated with cognitive decline." Journal of cognitive neuroscience. [link].

Pantazatos, Spiro P. (2014). "Prediction of individual season of birth using MRI." NeuroImage. [link].

Pastrana, Erika. (2010). "Collective brain maps." Nature Methods. [link].

Patel, Meenal J & Khalaf, Alexander & Aizenstein, Howard J. (2016). "Studying depression using imaging and machine learning methods." NeuroImage: Clinical. [link].

Peled, Abraham. (2013). "Brain “Globalopathies” cause mental disorders." Medical hypotheses. [link].

Poldrack, Russell A. (2012). "The future of fMRI in cognitive neuroscience." Neuroimage. [link].

Poldrack, Russell A & Baker, Chris I & Durnez, Joke & Gorgolewski, Krzysztof J & Matthews, Paul M & Munafo, Marcus R & Nichols, Thomas E & Poline, JeanBaptiste & Vul, Edward & Yarkoni, Tal. (2017). "Scanning the horizon: towards transparent and reproducible neuroimaging research." Nature Reviews Neuroscience. [link].

Press, RTI. (2012). Functional Magnetic Resonance Imaging (fMRI): An Invaluable Tool in Translational Neuroscience. [link].

Proal, Erika & AlvarezSegura, Mar & de la IglesiaVaya, Maria & MartiBonmati, Luis & Castellanos, F Xavier. (2011). "Actividad funcional cerebral en estado de reposo: redes en conexión." Revista de neurologia. [link].

Proal, Erika & AlvarezSegura, Mar & de la IglesiaVaya, Maria & MartiBonmati, Luis & Castellanos, FX. (2011). "Functional cerebral activity in a state of rest: connectivity networks." Revista de neurologia. [link].

Saggar, Manish & Tsalikian, Eva & Mauras, Nelly & Mazaika, Paul & White, Neil H & Weinzimer, Stuart & Buckingham, Bruce & Hershey, Tamara & Reiss, Allan L & Diabetes Research in Children Network & others. (2016). "Compensatory Hyper-Connectivity in Developing Brains of Young Children with Type 1 Diabetes." Diabetes. [link].

Santangelo, Susan L & Jagaroo, Vinoth. (2016). Conclusion: Implications for Psychiatry and Neuropsychology. [link].

Schirner, Michael & Rothmeier, Simon & Jirsa, Viktor K & McIntosh, Anthony Randal & Ritter, Petra. (2015). "An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data." Neuroimage. [link].

Schultz, Aaron P & Chhatwal, Jasmeer P & Huijbers, Willem & Hedden, Trey & Van Dijk, Koene RA & McLaren, Donald G & Ward, Andrew M & Wigman, Sarah & Sperling, Reisa A. (2014). "Template based rotation: a method for functional connectivity analysis with a priori templates." Neuroimage. [link].

Sepulcre, Jorge & Sabuncu, Mert R & Johnson, Keith A. (2012). "Network assemblies in the functional brain." Current opinion in neurology. [link].

Shatil, Anwar S & Younas, Sohail & Pourreza, Hossein & Figley, Chase R. (2015). "Heads in the cloud: a primer on neuroimaging applications of high performance computing." Magnetic resonance insights. [link].

Shura, Robert D & Hurley, Robin A & Taber, Katherine H. (2014). "Insular cortex: structural and functional neuroanatomy." The Journal of neuropsychiatry and clinical neurosciences. [link].

Simpson, Sean L & Bowman, F DuBois & Laurienti, Paul J. (2013). "Analyzing complex functional brain networks: fusing statistics and network science to understand the brain." Statistics surveys. [link].

Singer, Tania. (2012). "The past, present and future of social neuroscience: a European perspective." Neuroimage. [link].

Smith, Stephen M. (2012). "The future of FMRI connectivity." Neuroimage. [link].

Sotiropoulos, Stamatios N & Jbabdi, Saad & Xu, Junqian & Andersson, Jesper L & Moeller, Steen & Auerbach, Edward J & Glasser, Matthew F & Hernandez, Moises & Sapiro, Guillermo & Jenkinson, Mark & others. (2013). "Advances in diffusion MRI acquisition and processing in the Human Connectome Project." Neuroimage. [link].

Sporns, Olaf. (2012). "From simple graphs to the connectome: networks in neuroimaging." Neuroimage. [link].

Tailby, Chris & Masterton, Richard AJ & Huang, Jenny Y & Jackson, Graeme D & Abbott, David F. (2015). "Resting state functional connectivity changes induced by prior brain state are not network specific." NeuroImage. [link].

Teipel, Stefan J & Wohlert, Alexandra & Metzger, Coraline & Grimmer, Timo & Sorg, Christian & Ewers, Michael & Meisenzahl, Eva & Kloppel, Stefan & Borchardt, Viola & Grothe, Michel J & others. (2017). "Multicenter stability of resting state fMRI in the detection of Alzheimer's disease and amnestic MCI." NeuroImage: Clinical. [link].

Termenon, Maite & Jaillard, Assia & DelonMartin, Chantal & Achard, Sophie. (2016). "Reliability of graph analysis of resting state fMRI using test-retest dataset from the Human Connectome Project." NeuroImage. [link].

Tomasi, Dardo & ShokriKojori, Ehsan & Volkow, Nora D. (2015). "High-resolution functional connectivity density: hub locations, sensitivity, specificity, reproducibility, and reliability." Cerebral Cortex. [link].

Tseng, YuSheng & Huang, TengYi & Tsai, ShangYueh. (2015). "Reducing signal loss of the parahippocampal gyrus improves imaging of the default‐mode network in 3.0‐T MRI: the effect of susceptibility‐induced field gradients." NMR in Biomedicine. [link].

Turner, Jessica A & Laird, Angela R. (2012). "The cognitive paradigm ontology: design and application." Neuroinformatics. [link].

Tustison, Nicholas James & Johnson, Hans J & Rohlfing, Torsten & Klein, Arno & Ghosh, Satrajit S & Ibanez, Luis & Avants, Brian. (2013). "Instrumentation bias in the use and evaluation of scientific software: recommendations for reproducible practices in the computational sciences." Frontiers in neuroscience. [link].

Van Horn, John Darrell & Gazzaniga, Michael S. (2013). "Why share data? Lessons learned from the fMRIDC." Neuroimage. [link].

Van Horn, John Darrell & Toga, Arthur W. (2014). "Human neuroimaging as a “Big Data” science." Brain imaging and behavior. [link].

Visscher, Kristina M & Weissman, Daniel H. (2011). "Would the field of cognitive neuroscience be advanced by sharing functional MRI data?." BMC medicine. [link].

Volkow, Nora D. (2013). "Impact of fetal drug exposures on the adolescent brain." JAMA pediatrics. [link].

Waheed, Syed Hamza & Mirbagheri, Saeedeh & Agarwal, Shruti & Kamali, Arash & YahyaviFirouzAbadi, Noushin & Chaudhry, Ammar & DiGianvittorio, Michael & Gujar, Sachin K & Pillai, Jay J & Sair, Haris I. (2016). "Reporting of Resting-State Functional Magnetic Resonance Imaging Preprocessing Methodologies." Brain Connectivity. [link].

Wang, Jinhui & Zuo, Xinian & He, Yong. (2010). "Graph-based network analysis of resting-state functional MRI." Frontiers in systems neuroscience. [link].

Xia, Mingrui & He, Yong. (2011). "Magnetic resonance imaging and graph theoretical analysis of complex brain networks in neuropsychiatric disorders." Brain connectivity. [link].

Yarkoni, Tal & Poldrack, Russell A & Van Essen, David C & Wager, Tor D. (2010). "Cognitive neuroscience 2.0: building a cumulative science of human brain function." Trends in cognitive sciences. [link].

Zhan, Liang & Mueller, Bryon A & Jahanshad, Neda & Jin, Yan & Lenglet, Christophe & Yacoub, Essa & Sapiro, Guillermo & Ugurbil, Kamil & Harel, Noam & Toga, Arthur W & others. (2013). "Magnetic resonance field strength effects on diffusion measures and brain connectivity networks." Brain connectivity. [link].

胡传鹏 & 邸新 & 李佳蔚 & 隋洁 & 彭凯平. (2015). "神经成像数据的元分析." 心理科学进展. [link].

Peer-reviewed journal articles that cited ABIDE data

Alger, Jeffry R & Ellingson, Benjamin M & AsheMcNalley, Cody & Woodworth, Davis C & Labus, Jennifer S & Farmer, Melissa & Huang, Lejian & Apkarian, A Vania & Johnson, Kevin A & Mackey, Sean C & others. (2016). "Multisite, multimodal neuroimaging of chronic urological pelvic pain: Methodology of the MAPP Research Network." NeuroImage: Clinical. [link].

Aljawahiri, Reem & Milne, Elizabeth. (2017). "Resources available for autism research in the big data era: a systematic review." PeerJ. [link].

Ameis, Stephanie H & Catani, Marco. (2015). "Altered white matter connectivity as a neural substrate for social impairment in Autism Spectrum Disorder." Cortex. [link].

Anticevic, Alan. (2016). "Understanding the role of thalamic circuits in schizophrenia neuropathology." Schizophrenia Research. [link].

Arbabshirani, Mohammad R & Plis, Sergey & Sui, Jing & Calhoun, Vince D. (2017). "Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls." NeuroImage. [link].

Askren, Mary K & McAllisterDay, Trevor K & Koh, Natalie & Mestre, Zoe & Dines, Jennifer N & Korman, Benjamin A & Melhorn, Susan J & Peterson, Daniel J & Peverill, Matthew & Qin, Xiaoyan & others. (2016). "Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality-Assurance." Frontiers in neuroinformatics. [link].

Baker, Daniel H & Karapanagiotidis, Theodoros & Coggan, David D & WailesNewson, Kirstie & Smallwood, Jonathan. (2015). "Brain networks underlying bistable perception." NeuroImage. [link].

Barbeau, Elise B & Lewis, John D & Doyon, Julien & Benali, Habib & Zeffiro, Thomas A & Mottron, Laurent. (2015). "A greater involvement of posterior brain areas in interhemispheric transfer in autism: fMRI, DWI and behavioral evidences." NeuroImage: Clinical. [link].

Baribeau, Danielle Andrea & Anagnostou, Evdokia. (2013). "A comparison of neuroimaging findings in childhood onset schizophrenia and autism spectrum disorder: a review of the literature." Frontiers in psychiatry. [link].

Barkhof, Frederik & Haller, Sven & Rombouts, Serge ARB. (2014). "Resting-state functional MR imaging: a new window to the brain." Radiology. [link].

Bernhardt, Boris C & Di Martino, Adriana & Valk, Sofie L & Wallace, Gregory L. (2016). Neuroimaging-based phenotyping of the autism spectrum. [link].

Beversdorf, David Q & CONSORTIUM, MISSOURI AUTISM SUMMIT. (2016). "Phenotyping, Etiological Factors, and Biomarkers: Toward Precision Medicine in Autism Spectrum Disorders." Journal of Developmental and Behavioral Pediatrics. [link].

Book, Gregory A & Anderson, Beth M & Stevens, Michael C & Glahn, David C & Assaf, Michal & Pearlson, Godfrey D. (2013). "Neuroinformatics Database (NiDB)–a modular, portable database for the storage, analysis, and sharing of neuroimaging data." Neuroinformatics. [link].

Book, Gregory A & Stevens, Michael C & Assaf, Michal & Glahn, David C & Pearlson, Godfrey D. (2016). "Neuroimaging data sharing on the neuroinformatics database platform." NeuroImage. [link].

Bos, Dienke J & van Raalten, Tamar R & Oranje, Bob & Smits, Anouk R & Kobussen, Nieke A & van Belle, Janna & Rombouts, Serge ARB & Durston, Sarah. (2014). "Developmental differences in higher-order resting-state networks in Autism Spectrum Disorder." NeuroImage: Clinical. [link].

Bourgeat, Pierrick & Dore, Vincent & Villemagne, VL & Rowe, CC & Salvado, Olivier & Fripp, Jurgen. (2013). "MilxXplore: a web-based system to explore large imaging datasets." Journal of the American Medical Informatics Association. [link].

Bright, Molly G & Murphy, Kevin. (2015). "Is fMRI “noise” really noise? Resting state nuisance regressors remove variance with network structure." NeuroImage. [link].

Caeyenberghs, Karen & Verhelst, Helena & Clemente, Adam & Wilson, Peter H. (2016). "Mapping the functional connectome in traumatic brain injury: what can graph metrics tell us?." NeuroImage. [link].

Carper, Ruth A & Treiber, Jeffrey M & DeJesus, Shannon Yandall & Muller, RalphAxel. (2016). "Reduced Hemispheric Asymmetry of White Matter Microstructure in Autism Spectrum Disorder." Journal of the American Academy of Child and Adolescent Psychiatry. [link].

Casartelli, Luca & Molteni, Massimo. (2014). "Where there is a goal, there is a way: what, why and how the parieto-frontal mirror network can mediate imitative behaviours." Neuroscience and Biobehavioral Reviews. [link].

Casartelli, Luca & Molteni, Massimo & Ronconi, Luca. (2016). "So close yet so far: Motor anomalies impacting on social functioning in autism spectrum disorder." Neuroscience and Biobehavioral Reviews. [link].

Castellanos, F Xavier & Di Martino, Adriana & Craddock, R Cameron & Mehta, Ashesh D & Milham, Michael P. (2013). "Clinical applications of the functional connectome." Neuroimage. [link].

Castellanos, F Xavier & Yoncheva, Yuliya. (2014). "The best and worst of times: Commentary on “Current limitations and future directions in MRI studies of child-and adult-onset developmental …." Journal of child psychology and psychiatry, and allied disciplines. [link].

Cerliani, Leonardo & Thomas, Rajat M & Aquino, Domenico & Contarino, Valeria & Bizzi, Alberto. (2016). "Disentangling subgroups of participants recruiting shared as well as different brain regions for the execution of the verb generation task: A data-driven fMRI study." Cortex. [link].

Chen, Tianwen & Ryali, Srikanth & Qin, Shaozheng & Menon, Vinod. (2013). "Estimation of resting-state functional connectivity using random subspace based partial correlation: A novel method for reducing global artifacts." NeuroImage. [link].

Chien, HsiangYun & Lin, HsiangYuan & Lai, MengChuan & Gau, Susan ShurFen & Tseng, WenYih Isaac. (2015). "Hyperconnectivity of the Right Posterior Temporo‐parietal Junction Predicts Social Difficulties in Boys with Autism Spectrum Disorder." Autism Research. [link].

Connor, Steven A & AmmendrupJohnsen, Ina & Chan, Allen W & Kishimoto, Yasushi & Murayama, Chiaki & Kurihara, Naokazu & Tada, Atsushi & Ge, Yuan & Lu, Hong & Yan, Ryan & others. (2016). "Altered Cortical Dynamics and Cognitive Function upon Haploinsufficiency of the Autism-Linked Excitatory Synaptic Suppressor MDGA2." Neuron. [link].

Cortese, Samuele. (2015). "Here/In this issue and There/Abstract thinking: neurosciences and (child) psychiatry." Journal of the American Academy of Child and Adolescent Psychiatry. [link].

Craddock, C & Sikka, S & Cheung, B & Khanuja, R & Ghosh, SS & Yan, C & Li, Q & Lurie, D & Vogelstein, J & Burns, R & others. (2013). "Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (c-pac)." Front Neuroinform. [link].

Crawford, Karen L & Neu, Scott C & Toga, Arthur W. (2016). "The image and data archive at the laboratory of neuro imaging." Neuroimage. [link].

Crippa, Alessandro & Del Vecchio, Giuseppe & Ceccarelli, Silvia Busti & Nobile, Maria & Arrigoni, Filippo & Brambilla, Paolo. (2016). "Cortico-Cerebellar Connectivity in Autism Spectrum Disorder: What Do We Know So Far?." Frontiers in psychiatry. [link].

Crowell, Sheila E & Kaufman, Erin A. (2016). "Development of self-inflicted injury: Comorbidities and continuities with borderline and antisocial personality traits." Development and psychopathology. [link].

Cury, Claire & Toro, Roberto & Cohen, Fanny & Fischer, Clara & Mhaya, Amel & SamperGonzalez, Jorge & Hasboun, Dominique & Mangin, JeanFranccois & Banaschewski, Tobias & Bokde, AL & others. (2014). "Incomplete Hippocampal Inversion: A Comprehensive MRI Study of Over 2000 Subjects." Frontiers in neuroanatomy. [link].

DU NEURODEVELOPPEMENT, DYNAMIQUE ET PATHOLOGIE. (2016). RESEAU RECHERCHE AUTISME. [link].

Das, Samir & Glatard, Tristan & MacIntyre, Leigh C & Madjar, Cecile & Rogers, Christine & Rousseau, MarcEtienne & Rioux, Pierre & MacFarlane, Dave & Mohades, Zia & Gnanasekaran, Rathi & others. (2016). "The MNI data-sharing and processing ecosystem." NeuroImage. [link].

David, Nicole & Schneider, Till R & Peiker, Ina & AlJawahiri, Reem & Engel, Andreas K & Milne, Elizabeth. (2016). "Variability of cortical oscillation patterns: A possible endophenotype in autism spectrum disorders?." Neuroscience and Biobehavioral Reviews. [link].

Delmonte, Sonja & Gallagher, Louise & OHanlon, Erik & McGrath, Jane & Balsters, Joshua H. (2013). Functional and structural connectivity of frontostriatal circuitry in Autism Spectrum Disorder. [link].

Devitt, Niamh Mc & Gallagher, Louise & Reilly, Richard B. (2015). "Autism Spectrum Disorder (ASD) and Fragile X Syndrome (FXS): Two Overlapping Disorders Reviewed through Electroencephalography—What Can be …." Brain sciences. [link].

Di Martino, Adriana & Fair, Damien A & Kelly, Clare & Satterthwaite, Theodore D & Castellanos, F Xavier & Thomason, Moriah E & Craddock, R Cameron & Luna, Beatriz & Leventhal, Bennett L & Zuo, XiNian & others. (2014). "Unraveling the miswired connectome: a developmental perspective." Neuron. [link].

Dinstein, Ilan & Heeger, David J & Behrmann, Marlene. (2015). "Neural variability: friend or foe?." Trends in cognitive sciences. [link].

DuBois, Denise & Ameis, Stephanie H & Lai, MengChuan & Casanova, Manuel F & Desarkar, Pushpal. (2016). "Interoception in Autism Spectrum Disorder: A review." International Journal of Developmental Neuroscience. [link].

Duchesnay, Edouard & Bourgin, Julie & HadjSelem, Fouad & Frouin, Vincent. (2015). Méthodes de prédiction multivariées basées sur la neuroimagerie: application aux maladies psychiatriques. [link].

Duda, Marlena & Wall, Dennis P. (2015). "Rising interdisciplinary collaborations refine our understanding of autisms and give hope to more personalized solutions." Personalized Medicine. [link].

Dukart, Juergen & Bertolino, Alessandro. (2014). "When structure affects function–the need for partial volume effect correction in functional and resting state magnetic resonance imaging studies." PloS one. [link].

Eavani, Harini & Hsieh, Meng Kang & An, Yang & Erus, Guray & BeasonHeld, Lori & Resnick, Susan & Davatzikos, Christos. (2016). "Capturing heterogeneous group differences using mixture-of-experts: Application to a study of aging." Neuroimage. [link].

Ecker, Christine. (2017). "The neuroanatomy of autism spectrum disorder: An overview of structural neuroimaging findings and their translatability to the clinical setting." Autism. [link].

Ecker, Christine & Bookheimer, Susan Y & Murphy, Declan GM. (2015). "Neuroimaging in autism spectrum disorder: brain structure and function across the lifespan." The Lancet Neurology. [link].

Eisenberg, Ian W & Wallace, Gregory L & Kenworthy, Lauren & Gotts, Stephen J & Martin, Alex. (2015). "Insistence on sameness relates to increased covariance of gray matter structure in autism spectrum disorder." Molecular autism. [link].

Ellegood, Jacob & Crawley, Jacqueline N. (2015). "Behavioral and neuroanatomical phenotypes in mouse models of autism." Neurotherapeutics. [link].

Espana, Alicante. (2016). "Similitudes y diferencias en la sintomatología obsesivo-compulsiva y autista: aportaciones desde la neurociencia." Revista Mexicana de Neurociencia. [link].

Fan, Jianqing & Han, Fang & Liu, Han. (2014). "Challenges of big data analysis." National science review. [link].

Feis, Rogier A & Smith, Stephen M & Filippini, Nicola & Douaud, Gwenaelle & Dopper, Elise GP & Heise, Verena & Trachtenberg, Aaron J & van Swieten, John C & van Buchem, Mark A & Rombouts, Serge ARB & others. (2015). "ICA-based artifact removal diminishes scan site differences in multi-center resting-state fMRI." Frontiers in neuroscience. [link].

Fiecas, Mark & Cribben, Ivor & Bahktiari, Reyhaneh & Cummine, Jacqueline. (2016). A variance components model for statistical inference on functional connectivity networks. [link].

Fitzgerald, Jacqueline & Johnson, Katherine & Kehoe, Elizabeth & Bokde, Arun LW & Garavan, Hugh & Gallagher, Louise & McGrath, Jane. (2015). "Disrupted functional connectivity in dorsal and ventral attention networks during attention orienting in autism spectrum disorders." Autism Research. [link].

Floris, Dorothea L & Barber, Anita D & Nebel, Mary Beth & Martinelli, Mary & Lai, MengChuan & Crocetti, Deana & BaronCohen, Simon & Suckling, John & Pekar, James J & Mostofsky, Stewart H. (2016). "Atypical lateralization of motor circuit functional connectivity in children with autism is associated with motor deficits." Molecular Autism. [link].

Floris, Dorothea L & Lai, MengChuan & Auer, Tibor & Lombardo, Michael V & Ecker, Christine & Chakrabarti, Bhismadev & Wheelwright, Sally J & Bullmore, Edward T & Murphy, Declan GM & BaronCohen, Simon & others. (2016). "Atypically rightward cerebral asymmetry in male adults with autism stratifies individuals with and without language delay." Human brain mapping. [link].

Focquaert, Farah & Vanneste, Sven. (2015). "Autism spectrum traits in normal individuals: a preliminary VBM analysis." Frontiers in human neuroscience. [link].

Gerig, Guido & Fishbaugh, James & Sadeghi, Neda. (2016). Longitudinal modeling of appearance and shape and its potential for clinical use. [link].

Gernsbacher, Morton Ann. (2015). "Diverse Brains." The general psychologist. [link].

Ghuman, Avniel Singh & van den Honert, Rebecca N & Huppert, Theodore J & Wallace, Gregory L & Martin, Alex. (2016). "Aberrant Oscillatory Synchrony Is Biased Toward Specific Frequencies and Processing Domains in the Autistic Brain." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. [link].

Giuliano, Alessia & Saviozzi, Irene & Brambilla, Paolo & Muratori, Filippo & Retico, Alessandra & Calderoni, Sara. (2017). "The effect of age, sex and clinical features on the volume of Corpus Callosum in pre‐schoolers with Autism Spectrum Disorder: a case–control study." European Journal of Neuroscience. [link].

Goldstein, Neal D & Sarwate, Anand D. (2016). "Privacy, security, and the public health researcher in the era of electronic health record research." Online Journal of Public Health Informatics. [link].

Gordon, Rupa Gupta & Calamia, Matthew. (2016). Neuropsychology. [link].

Gorgolewski, Krzysztof & Margulies, Daniel S & Milham, Michael P. (2013). "Making data sharing count: a publication-based solution." Frontiers in neuroscience. [link].

Gori, Ilaria & Giuliano, Alessia & Muratori, Filippo & Saviozzi, Irene & Oliva, Piernicola & Tancredi, Raffaella & Cosenza, Angela & Tosetti, Michela & Calderoni, Sara & Retico, Alessandra. (2015). "Gray matter alterations in young children with autism spectrum disorders: comparing morphometry at the voxel and regional level." Journal of Neuroimaging. [link].

Green, Shulamite A & Hernandez, Leanna & Bookheimer, Susan Y & Dapretto, Mirella. (2016). "Reduced modulation of thalamocortical connectivity during exposure to sensory stimuli in ASD." Autism Research. [link].

Ha, Sungji & Sohn, InJung & Kim, Namwook & Sim, Hyeon Jeong & Cheon, KeunAh. (2015). "Characteristics of brains in autism spectrum disorder: Structure, function and connectivity across the lifespan." Experimental neurobiology. [link].

Hager, Brandon & Yang, Albert C & Brady, Roscoe & Meda, Shashwath & Clementz, Brett & Pearlson, Godfrey D & Sweeney, John A & Tamminga, Carol & Keshavan, Matcheri. (2016). "Neural complexity as a potential translational biomarker for psychosis." Journal of affective disorders. [link].

Hernandez, Leanna M & Rudie, Jeffrey D & Green, Shulamite A & Bookheimer, Susan & Dapretto, Mirella. (2015). "Neural signatures of autism spectrum disorders: insights into brain network dynamics." Neuropsychopharmacology. [link].

Holmes, Avram J & Hollinshead, Marisa O & OKeefe, Timothy M & Petrov, Victor I & Fariello, Gabriele R & Wald, Lawrence L & Fischl, Bruce & Rosen, Bruce R & Mair, Ross W & Roffman, Joshua L & others. (2015). "Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures." Scientific data. [link].

Honor, Leah B & Haselgrove, Christian & Frazier, Jean A & Kennedy, David N. (2016). "Data citation in neuroimaging: Proposed best practices for data identification and attribution." Frontiers in neuroinformatics. [link].

Houenou, J & Chaste, P. (2015). On the Neuroimaging of Autism in the Context of Human Brain Diversity. [link].

Hozer, Franz & Houenou, Josselin. (2016). "Can neuroimaging disentangle bipolar disorder?." Journal of affective disorders. [link].

Hulbert, SW & Jiang, YH. (2016). "Monogenic mouse models of autism spectrum disorders: common mechanisms and missing links." Neuroscience. [link].

Hull, Jocelyn V & Jacokes, Zachary J & Torgerson, Carinna M & Irimia, Andrei & Van Horn, John Darrell. (2017). "Resting-State Functional Connectivity in Autism Spectrum Disorders: A Review." Frontiers in Psychiatry. [link].

Itahashi, Takashi & Yamada, Takashi & Watanabe, Hiromi & Nakamura, Motoaki & Ohta, Haruhisa & Kanai, Chieko & Iwanami, Akira & Kato, Nobumasa & Hashimoto, Ryuichiro. (2015). "Alterations of local spontaneous brain activity and connectivity in adults with high-functioning autism spectrum disorder." Molecular autism. [link].

Jann, Kay & Smith, Robert X & Piedra, Edgar A Rios & Dapretto, Mirella & Wang, Danny JJ. (2016). "Noise reduction in Arterial Spin Labeling based Functional Connectivity using nuisance variables." Frontiers in Neuroscience. [link].

Jung, Minyoung & Mody, Maria & Saito, Daisuke N & Tomoda, Akemi & Okazawa, Hidehiko & Wada, Yuji & Kosaka, Hirotaka. (2015). "Sex differences in the default mode network with regard to autism spectrum traits: a resting state fMRI study." PloS one. [link].

Keator, David B & van Erp, Theo GM & Turner, Jessica A & Glover, Gary H & Mueller, Bryon A & Liu, Thomas T & Voyvodic, James T & Rasmussen, Jerod & Calhoun, Vince D & Lee, Hyo Jong & others. (2016). "The function biomedical informatics research network data repository." NeuroImage. [link].

Kennedy, Daniel P & Adolphs, Ralph. (2012). "The social brain in psychiatric and neurological disorders." Trends in cognitive sciences. [link].

Kennedy, David N & Haselgrove, Christian & Riehl, Jon & Preuss, Nina & Buccigrossi, Robert. (2015). "The three NITRCs: A guide to neuroimaging neuroinformatics resources." Neuroinformatics. [link].

Kennedy, David N & Haselgrove, Christian & Riehl, Jon & Preuss, Nina & Buccigrossi, Robert. (2016). "The NITRC image repository." Neuroimage. [link].

Khan, Sheraz & Michmizos, Konstantinos & Tommerdahl, Mark & Ganesan, Santosh & Kitzbichler, Manfred G & Zetino, Manuel & Garel, KeriLee A & Herbert, Martha R & Hamalainen, Matti S & Kenet, Tal. (2015). "Somatosensory cortex functional connectivity abnormalities in autism show opposite trends, depending on direction and spatial scale." Brain. [link].

Kim, Eunjoo & Kyeong, Sunghyon & Cheon, KeunAh & Park, Bumhee & Oh, MaengKeun & Chun, Ji Won & Park, HaeJeong & Kim, JaeJin & Song, DongHo. (2016). "Neural responses to affective and cognitive theory of mind in children and adolescents with autism spectrum disorder." Neuroscience letters. [link].

Kirkovski, Melissa & Rogasch, Nigel C & Saeki, Takashi & Fitzgibbon, Bernadette M & Enticott, Peter G & Fitzgerald, Paul B. (2016). "Single pulse transcranial magnetic stimulation-electroencephalogram reveals no electrophysiological abnormality in adults with high-functioning autism spectrum …." Journal of child and adolescent psychopharmacology. [link].

Kleinhans, Natalia M & Reiter, Maya A & Neuhaus, Emily & Pauley, Greg & Martin, Nathalie & Dager, Stephen & Estes, Annette. (2015). "Subregional differences in intrinsic amygdala hyperconnectivity and hypoconnectivity in autism spectrum disorder." Autism Research. [link].

Konopka, Genevieve. (2017). "Cognitive genomics: linking genes to behavior in the human brain." Network Neuroscience. [link].

Koyama, Maki S & Di Martino, Adriana & Castellanos, Francisco X & Ho, Erica J & Marcelle, Enitan & Leventhal, Bennett & Milham, Michael P. (2016). "Imaging the “At-Risk” Brain: Future Directions." Journal of the International Neuropsychological Society. [link].

Krishnan, Arjun & Zhang, Ran & Yao, Victoria & Theesfeld, Chandra L & Wong, Aaron K & Tadych, Alicja & Volfovsky, Natalia & Packer, Alan & Lash, Alex & Troyanskaya, Olga G. (2016). "Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder." Nature neuroscience. [link].

LI, EnZhong & GAO, JiaHong & LU, GuangMing & PENG, YuHua & DONG, ErDan. (2015). "Functional Neuroimaging and Its Applications to Critical Brain Diseases." Scientia Sinica Vitae. [link].

Lai, MengChuan & Lerch, Jason P & Floris, Dorothea L & Ruigrok, Amber NV & Pohl, Alexa & Lombardo, Michael V & BaronCohen, Simon. (2017). "Imaging sex/gender and autism in the brain: Etiological implications." Journal of Neuroscience Research. [link].

Lainhart, Janet E. (2015). "Brain imaging research in autism spectrum disorders: in search of neuropathology and health across the lifespan." Current opinion in psychiatry. [link].

Landis, Drew & Courtney, William & Dieringer, Christopher & Kelly, Ross & King, Margaret & Miller, Brittny & Wang, Runtang & Wood, Dylan & Turner, Jessica A & Calhoun, Vince D. (2016). "COINS Data Exchange: An open platform for compiling, curating, and disseminating neuroimaging data." NeuroImage. [link].

Lee, Jeong Ho. (2016). "Somatic mutations in disorders with disrupted brain connectivity." Experimental and molecular medicine. [link].

Lenroot, Rhoshel K & KaYeung, Pui. (2013). Heterogeneity within autism spectrum disorders: what have we learned from neuroimaging studies?. [link].

Levman, Jacob & Takahashi, Emi. (2015). "Multivariate analyses applied to fetal, neonatal and pediatric MRI of neurodevelopmental disorders." NeuroImage: Clinical. [link].

Lin, HY & Tseng, WYI & Lai, MC & Chang, YT & Gau, SSF. (2016). "Shared atypical brain anatomy and intrinsic functional architecture in male youth with autism spectrum disorder and their unaffected brothers." Psychological medicine. [link].

Lin, HsiangYuan & Ni, HsingChang & Lai, MengChuan & Tseng, WenYih Isaac & Gau, Susan ShurFen. (2015). "Regional brain volume differences between males with and without autism spectrum disorder are highly age-dependent." Molecular autism. [link].

Lin, IFan & Shirama, Aya & Kato, Nobumasa & Kashino, Makio. (2017). "The singular nature of auditory and visual scene analysis in autism." Phil. Trans. R. Soc. B. [link].

Linke, Annika C & Keehn, R Joanne Jao & Pueschel, Ellyn B & Fishman, Inna & Muller, RalphAxel. (2017). "Children with ASD show links between aberrant sound processing, social symptoms, and atypical auditory interhemispheric and thalamocortical functional …." Developmental Cognitive Neuroscience. [link].

Liska, Adam & Gozzi, Alessandro. (2016). "Can mouse imaging studies bring order to autism connectivity chaos?." Frontiers in Neuroscience. [link].

Lombardo, Michael V & Lai, MengChuan & Auyeung, Bonnie & Holt, Rosemary J & Allison, Carrie & Smith, Paula & Chakrabarti, Bhismadev & Ruigrok, Amber NV & Suckling, John & Bullmore, Edward T & others. (2016). "Unsupervised data-driven stratification of mentalizing heterogeneity in autism." Scientific reports. [link].

Lord, Catherine & Bishop, Somer & Anderson, Deborah. (2015). Developmental trajectories as autism phenotypes. [link].

Loth, Eva & Murphy, Declan G & Spooren, Will. (2016). "Defining Precision Medicine Approaches to Autism Spectrum Disorders: Concepts and Challenges." Frontiers in Psychiatry. [link].

Luckhardt, C & Jarczok, TA & Bender, S. (2014). "Elucidating the neurophysiological underpinnings of autism spectrum disorder: new developments." Journal of Neural Transmission. [link].

Lyall, Kristen & Croen, Lisa & Daniels, Julie & Fallin, M Daniele & LaddAcosta, Christine & Lee, Brian K & Park, Bo Y & Snyder, Nathaniel W & Schendel, Diana & Volk, Heather E & others. (2016). "The Changing Epidemiology of Autism Spectrum Disorders." Annual Review of Public Health. [link].

Mahajan, Rajneesh & Mostofsky, Stewart H. (2015). "Neuroimaging endophenotypes in autism spectrum disorder." CNS spectrums. [link].

MartinezMurcia, Francisco Jesus & Lai, MengChuan & Gorriz, Juan Manuel & Ramirez, Javier & Young, Adam MH & Deoni, Sean CL & Ecker, Christine & Lombardo, Michael V & BaronCohen, Simon & Murphy, Declan GM & others. (2016). "On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance‐weighted principal component analysis." Human Brain Mapping. [link].

Maximo, Jose O & Cadena, Elyse J & Kana, Rajesh K. (2014). "The implications of brain connectivity in the neuropsychology of autism." Neuropsychology review. [link].

Mennes, Maarten. (2016). "Commentary: Leveraging discovery science to advance child and adolescent psychiatric research–a commentary on Zhao and Castellanos 2016." Journal of Child Psychology and Psychiatry. [link].

Mennes, Maarten & Biswal, Bharat B & Castellanos, F Xavier & Milham, Michael P. (2013). "Making data sharing work: the FCP/INDI experience." Neuroimage. [link].

Menon, Vinod. (2013). "Developmental pathways to functional brain networks: emerging principles." Trends in Cognitive Sciences. [link].

Mills, Brian D & Pearce, Hadley L & Khan, Omar & Jarrett, Ben R & Fair, Damien A & Lahvis, Garet P. (2016). "Prenatal domoic acid exposure disrupts mouse pro-social behavior and functional connectivity MRI." Behavioural brain research. [link].

Mitra, Anish & Snyder, Abraham Z & Constantino, John N & Raichle, Marcus E. (2015). "The lag structure of intrinsic activity is focally altered in high functioning adults with autism." Cerebral Cortex. [link].

Morita, Tomoyo & Kosaka, Hirotaka & Saito, Daisuke N & Fujii, Takeshi & Ishitobi, Makoto & Munesue, Toshio & Inohara, Keisuke & Okazawa, Hidehiko & Kakigi, Ryusuke & Sadato, Norihiro. (2016). "Neural correlates of emotion processing during observed self-face recognition in individuals with autism spectrum disorders." Research in Autism Spectrum Disorders. [link].

Murphy, Kevin & Birn, Rasmus M & Bandettini, Peter A. (2013). "Resting-state fMRI confounds and cleanup." Neuroimage. [link].

Muschelli, John & Nebel, Mary Beth & Caffo, Brian S & Barber, Anita D & Pekar, James J & Mostofsky, Stewart H. (2014). "Reduction of motion-related artifacts in resting state fMRI using aCompCor." Neuroimage. [link].

Nardone, Stefano & Sams, D Sharan & Reuveni, Eli & Getselter, Dmitriy & Oron, Oded & Karpuj, Marcela & Elliott, E. (2014). "DNA methylation analysis of the autistic brain reveals multiple dysregulated biological pathways." Translational psychiatry. [link].

Nichols, B Nolan & Pohl, Kilian M. (2015). "Neuroinformatics software applications supporting electronic data capture, management, and sharing for the neuroimaging community." Neuropsychology review. [link].

Odriozola, Paola & Uddin, Lucina Q & Lynch, Charles J & Kochalka, John & Chen, Tianwen & Menon, Vinod. (2016). "Insula response and connectivity during social and non-social attention in children with autism." Social cognitive and affective neuroscience. [link].

Oldehinkel, Marianne & Francx, Winke & Beckmann, Christian F & Buitelaar, Jan K & Mennes, Maarten. (2013). "Resting state FMRI research in child psychiatric disorders." European child and adolescent psychiatry. [link].

Patak, Jameson & ZhangJames, Yanli & Faraone, Stephen V. (2016). "Endosomal system genetics and autism spectrum disorders: A literature review." Neuroscience and Biobehavioral Reviews. [link].

Payakachat, Nalin & Tilford, J Mick & Ungar, Wendy J. (2016). "National Database for Autism Research (NDAR): Big data opportunities for health services research and health technology assessment." PharmacoEconomics. [link].

Pereira, Ramon Fraga & Heinsfeld, Anibal Solon & Franco, Alexandre Rosa & Buchweitz, Augusto & Meneguzzi, Felipe. (2016). "Detecting task-based fMRI compliance using plan abandonment techniques." GigaScience.

Picci, Giorgia & Gotts, Stephen J & Scherf, K Suzanne. (2016). "A theoretical rut: revisiting and critically evaluating the generalized under/over‐connectivity hypothesis of autism." Developmental science. [link].

Piochon, Claire & Kano, Masanobu & Hansel, Christian. (2016). "LTD-like molecular pathways in developmental synaptic pruning." Nature neuroscience. [link].

Plis, Sergey M & Sarwate, Anand D & Wood, Dylan & Dieringer, Christopher & Landis, Drew & Reed, Cory & Panta, Sandeep R & Turner, Jessica A & Shoemaker, Jody M & Carter, Kim W & others. (2016). "COINSTAC: a privacy enabled model and prototype for leveraging and processing decentralized brain imaging data." Frontiers in Neuroscience. [link].

Proal, Erika & GonzalezOlvera, Jorge & Blancas, AS & Chalita, Pablo J & Castellanos, F Xavier. (2013). "Neurobiology of autism and attention deficit hyperactivity disorder by means of neuroimaging techniques: convergences and divergences." Revista de neurologia. [link].

Proal, Erika & Olvera, Jorge Gonzalez & Blancas, Aurea S & Chalita, Pablo J & Castellanos, F Xavier. (2013). "Neurobiología del autismo y TDAH mediante técnicas de neuroimagen: divergencias y convergencias." Revista de neurologia. [link].

Pua, Emmanuel Peng Kiat & Bowden, Stephen C & Seal, Marc L. (2017). "Autism spectrum disorders: Neuroimaging findings from systematic reviews." Research in Autism Spectrum Disorders. [link].

Rane, Pallavi & Cochran, David & Hodge, Steven M & Haselgrove, Christian & Kennedy, David & Frazier, Jean A. (2015). "Connectivity in autism: A review of MRI connectivity studies." Harvard review of psychiatry. [link].

Rane, Pallavi & Haselgrove, Christian & Hodge, Steven M & Frazier, Jean A & Kennedy, David N. (2014). Structure-centered portal for child psychiatry research. [link].

Rapp, Rayna. (2016). "Big data, small kids: Medico-scientific, familial and advocacy visions of human brains." BioSocieties. [link].

Redolfi, Alberto & Bosco, Paolo & Manset, David & Frisoni, Giovanni B. (2013). "Brain investigation and brain conceptualization." Functional neurology. [link].

Rendall, Amanda R & Truong, Dongnhu T & Fitch, R Holly. (2016). "Learning delays in a mouse model of autism spectrum disorder." Behavioural brain research. [link].

Retico, Alessandra & Giuliano, Alessia & Tancredi, Raffaella & Cosenza, Angela & Apicella, Fabio & Narzisi, Antonio & Biagi, Laura & Tosetti, Michela & Muratori, Filippo & Calderoni, Sara. (2016). "The effect of gender on the neuroanatomy of children with autism spectrum disorders: a support vector machine case-control study." Molecular autism. [link].

Richard, Annie E & Scheffer, Ingrid E & Wilson, Sarah J. (2017). "Features of the broader autism phenotype in people with epilepsy support shared mechanisms between epilepsy and autism spectrum disorder." Neuroscience and Biobehavioral Reviews. [link].

Rommelse, Nanda & Buitelaar, Jan K & Hartman, Catharina A. (2016). "Structural brain imaging correlates of ASD and ADHD across the lifespan: a hypothesis-generating review on developmental ASD–ADHD subtypes." Journal of Neural Transmission. [link].

Rosenberg, MD & Finn, ES & Scheinost, D & Constable, RT & Chun, MM. (2017). "Characterizing Attention with Predictive Network Models." Trends in Cognitive Sciences. [link].

Rubinov, Mikail & Bullmore, Ed. (2013). "Fledgling pathoconnectomics of psychiatric disorders." Trends in cognitive sciences. [link].

Rudie, Jeffrey D & Hernandez, Leanna M & Brown, Jesse A & BeckPancer, Devora & Colich, Natalie L & Gorrindo, Philip & Thompson, Paul M & Geschwind, Daniel H & Bookheimer, Susan Y & Levitt, Pat & others. (2012). "Autism-associated promoter variant in MET impacts functional and structural brain networks." Neuron. [link].

Rudie, Jeffrey David & Dapretto, Mirella. (2013). "Convergent evidence of brain overconnectivity in children with autism?." Cell reports. [link].

Savalia, Neil K & Agres, Phillip F & Chan, Micaela Y & Feczko, Eric J & Kennedy, Kristen M & Wig, Gagan S. (2017). "Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion." Human Brain Mapping. [link].

Shou, XiaoJing & Xu, XinJie & Zeng, XiangZhu & Liu, Ying & Yuan, HuiShu & Xing, Yan & Jia, MeiXiang & Wei, QingYun & Han, SongPing & Zhang, Rong & others. (2017). "A Volumetric and Functional Connectivity MRI Study of Brain Arginine-Vasopressin Pathways in Autistic Children." Neuroscience Bulletin. [link].

Simas, Tiago & Chattopadhyay, Shayanti & Hagan, Cindy & Kundu, Prantik & Patel, Ameera & Holt, Rosemary & Floris, Dorothea & Graham, Julia & Ooi, Cinly & Tait, Roger & others. (2015). "Semi-metric topology of the human connectome: sensitivity and specificity to autism and major depressive disorder." PloS one. [link].

Sinha, Saurabh & McGovern, Robert A & Sheth, Sameer A. (2015). "Deep brain stimulation for severe autism: from pathophysiology to procedure." Neurosurgical focus. [link].

SotoIcaza, Patricia & Aboitiz, Francisco & Billeke, Pablo. (2015). "Development of social skills in children: neural and behavioral evidence for the elaboration of cognitive models." Frontiers in neuroscience. [link].

South, M & Stephenson, KG & Nielson, CA & Maisel, M & Top, DN & Kirwan, CB. (2015). "Overactive pattern separation memory associated with negative emotionality in adults diagnosed with autism spectrum disorder." Journal of autism and developmental disorders. [link].

Stoddard, J & Gotts, SJ & Brotman, MA & Lever, S & Hsu, D & Zarate, C & Ernst, Monique & Pine, DS & Leibenluft, E. (2016). "Aberrant intrinsic functional connectivity within and between corticostriatal and temporal–parietal networks in adults and youth with bipolar disorder." Psychological medicine. [link].

Suckling, John & Nestor, Liam J. (2017). "The neurobiology of addiction: the perspective from magnetic resonance imaging present and future." Addiction. [link].

THorarinsdottir, Gudhrun V & Arnadottir, Idhunn Svala. (2016). Áhrif kvíða á aðlögunarfærni barna með einhverfurófsröskun. [link].

Tao, Jing & Chen, Xiangli & Egorova, Natalia & Liu, Jiao & Xue, Xiehua & Wang, Qin & Zheng, Guohua & Li, Moyi & Hong, Wenjun & Sun, Sharon & others. (2017). "Tai Chi Chuan and Baduanjin practice modulates functional connectivity of the cognitive control network in older adults." Scientific Reports. [link].

Taylor, Peter N & Han, Cheol E & SchoeneBake, JanChristoph & Weber, Bernd & Kaiser, Marcus. (2015). "Structural connectivity changes in temporal lobe epilepsy: Spatial features contribute more than topological measures." NeuroImage: Clinical. [link].

Top Jr, D Nicholas & Stephenson, Kevin G & Doxey, Christopher R & Crowley, Michael J & Kirwan, C Brock & South, Mikle. (2016). "Atypical amygdala response to fear conditioning in autism spectrum disorder." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. [link].

Turner, Jessica A. (2014). "The rise of large-scale imaging studies in psychiatry." GigaScience. [link].

Tyszka, J Michael & Kennedy, Daniel P & Paul, Lynn K & Adolphs, Ralph. (2014). "Largely typical patterns of resting-state functional connectivity in high-functioning adults with autism." Cerebral cortex. [link].

Uddin, Lucina Q. (2015). "Idiosyncratic connectivity in autism: developmental and anatomical considerations." Trends in neurosciences. [link].

Uddin, Lucina Q. (2015). "Salience processing and insular cortical function and dysfunction." Nature Reviews Neuroscience. [link].

Uddin, Lucina Q & Supekar, Kaustubh & Menon, Vinod. (2013). Reconceptualizing functional brain connectivity in autism from a developmental perspective. [link].

Unwin, Lisa M & Maybery, Murray T & Murphy, Anthony & Lilje, Wendy & Bellesini, Michelle & Hunt, Anna M & Granich, Joanna & Jacoby, Peter & Dissanayake, Cheryl & Pennell, Craig E & others. (2016). "A Prospective Ultrasound Study of Prenatal Growth in Infant Siblings of Children With Autism." Autism Research. [link].

Vakorin, Vasily A & Doesburg, Sam M & Leung, Rachel C & Vogan, Vanessa M & Anagnostou, Evdokia & Taylor, Margot J. (2016). "Developmental changes in neuromagnetic rhythms and network synchrony in autism." Annals of Neurology. [link].

Venkataraman, Archana & Yang, Daniel YJ & Dvornek, Nicha & Staib, Lawrence H & Duncan, James S & Pelphrey, Kevin A & Ventola, Pamela. (2016). "Pivotal response treatment prompts a functional rewiring of the brain among individuals with autism spectrum disorder." NeuroReport. [link].

Wang, Xiaoming & Bey, Alexandra L & Katz, Brittany M & Badea, Alexandra & Kim, Namsoo & David, Lisa K & Duffney, Lara J & Kumar, Sunil & Mague, Stephen D & Hulbert, Samuel W & others. (2016). "Altered mGluR5-Homer scaffolds and corticostriatal connectivity in a Shank3 complete knockout model of autism." Nature communications. [link].

Watanabe, Takamitsu & Kuroda, Miho & Kuwabara, Hitoshi & Aoki, Yuta & Iwashiro, Norichika & Tatsunobu, Natsubori & Takao, Hidemasa & Nippashi, Yasumasa & Kawakubo, Yuki & Kunimatsu, Akira & others. (2015). "Clinical and neural effects of six-week administration of oxytocin on core symptoms of autism." Brain. [link].

Waterhouse, Lynn & London, Eric & Gillberg, Christopher. (2016). "ASD Validity." Review Journal of Autism and Developmental Disorders. [link].

Werling, Donna M. (2016). "The role of sex-differential biology in risk for autism spectrum disorder." Biology of Sex Differences. [link].

White, Susan W & Mazefsky, Carla A & Dichter, Gabriel S & Chiu, Pearl H & Richey, John A & Ollendick, Thomas H. (2014). "Social-cognitive, physiological, and neural mechanisms underlying emotion regulation impairments: Understanding anxiety in autism spectrum disorder." International Journal of Developmental Neuroscience. [link].

Whitehouse, Andrew JO. (2017). "Elizabeth Usher Memorial Lecture: Rethinking the clinical pathway for autism spectrum disorder and challenging the status quo." International Journal of Speech-Language Pathology. [link].

Wiggins, Jillian Lee & Adleman, Nancy E & Kim, Pilyoung & Oakes, Allison H & Hsu, Derek & Reynolds, Richard C & Chen, Gang & Pine, Daniel S & Brotman, Melissa A & Leibenluft, Ellen. (2015). "Developmental differences in the neural mechanisms of facial emotion labeling." Social cognitive and affective neuroscience. [link].

Wiggins, Jillian Lee & Monk, Christopher S. (2013). "A translational neuroscience framework for the development of socioemotional functioning in health and psychopathology." Development and psychopathology. [link].

Wintermark, M & Coombs, L & Druzgal, TJ & Field, AS & Filippi, CG & Hicks, R & Horton, R & Lui, YW & Law, M & Mukherjee, P & others. (2015). "Traumatic brain injury imaging research roadmap." American Journal of Neuroradiology. [link].

Wolfers, Thomas & Buitelaar, Jan K & Beckmann, Christian F & Franke, Barbara & Marquand, Andre F. (2015). "From estimating activation locality to predicting disorder: a review of pattern recognition for neuroimaging-based psychiatric diagnostics." Neuroscience and Biobehavioral Reviews. [link].

Wolff, Jason J & Gerig, Guido & Lewis, John D & Soda, Takahiro & Styner, Martin A & Vachet, Clement & Botteron, Kelly N & Elison, Jed T & Dager, Stephen R & Estes, Annette M & others. (2015). "Altered corpus callosum morphology associated with autism over the first 2 years of life." Brain. [link].

Woo, ChoongWan & Chang, Luke J & Lindquist, Martin A & Wager, Tor D. (2017). "Building better biomarkers: brain models in translational neuroimaging." Nature Neuroscience. [link].

Wood, Dylan & King, Margaret & Landis, Drew & Courtney, William & Wang, Runtang & Kelly, Ross & Turner, Jessica A & Calhoun, Vince D. (2014). Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools. [link].

Wortinger, Laura Anne & Endestad, Tor & Melinder, Annika Maria D & Oie, Merete Glenne & Sevenius, Andre & Wyller, Vegard Bruun. (2016). "Aberrant resting-state functional connectivity in the salience network of adolescent chronic fatigue syndrome." PLoS One. [link].

Xie, Sheng & Yang, Jiaotian & Zhang, Zhixin & Zhao, Chenxi & Bi, Yanchao & Zhao, Qiuling & Pan, Hui & Gong, Gaolang. (2015). "The Effects of the X Chromosome on Intrinsic Functional Connectivity in the Human Brain: Evidence from Turner Syndrome Patients." Cerebral Cortex. [link].

YANG, Zhi & ZUO, XiNian. (2015). "Big neuroimaging data-informed mind-brain association studies: Methodology and applications." Chinese Science Bulletin. [link].

Yamada, Takashi & Itahashi, Takashi & Nakamura, Motoaki & Watanabe, Hiromi & Kuroda, Miho & Ohta, Haruhisa & Kanai, Chieko & Kato, Nobumasa & Hashimoto, Ryuichiro. (2016). "Altered functional organization within the insular cortex in adult males with high-functioning autism spectrum disorder: evidence from connectivity-based …." Molecular Autism. [link].

Yan, Chaogan & Li, Qingyang & Gao, Lei. (2014). "PRN: a preprint service for catalyzing R-fMRI and neuroscience related studies." F1000Research. [link].

Yang, Jie & Hofmann, Jessica. (2016). "Action observation and imitation in autism spectrum disorders: an ALE meta-analysis of fMRI studies." Brain imaging and behavior. [link].

Ye, Annette X & Leung, Rachel C & Schafer, Carmen B & Taylor, Margot J & Doesburg, Sam M. (2014). "Atypical resting synchrony in autism spectrum disorder." Human brain mapping. [link].

Yerys, Benjamin E & Gordon, Evan M & Abrams, Danielle N & Satterthwaite, Theodore D & Weinblatt, Rachel & Jankowski, Kathryn F & Strang, John & Kenworthy, Lauren & Gaillard, William D & Vaidya, Chandan J. (2015). "Default mode network segregation and social deficits in autism spectrum disorder: Evidence from non-medicated children." NeuroImage: Clinical. [link].

Yerys, Benjamin E & Herrington, John D. (2014). "Multimodal imaging in autism: an early review of comprehensive neural circuit characterization." Current psychiatry reports. [link].

Yoncheva, Yuliya N & Somandepalli, Krishna & Reiss, Philip T & Kelly, Clare & Di Martino, Adriana & Lazar, Mariana & Zhou, Juan & Milham, Michael P & Castellanos, F Xavier. (2016). "Mode of anisotropy reveals global diffusion alterations in attention-deficit/hyperactivity disorder." Journal of the American Academy of Child and Adolescent Psychiatry. [link].

Zhao, Yihong & Castellanos, F Xavier. (2016). "Annual Research Review: Discovery science strategies in studies of the pathophysiology of child and adolescent psychiatric disorders‐promises and limitations." Journal of Child Psychology and Psychiatry. [link].

Zheng, Junjie & Zhang, Yan & Guo, Xiaofeng & Duan, Xujun & Zhang, Jiang & Zhao, Jingping & Chen, Huafu. (2016). "Disrupted amplitude of low-frequency fluctuations in antipsychotic-naïve adolescents with early-onset schizophrenia." Psychiatry Research: Neuroimaging. [link].

Zoller, Daniela & Schaer, Marie & Scariati, Elisa & Padula, Maria Carmela & Eliez, Stephan & Van De Ville, Dimitri. (2017). "Disentangling resting-state BOLD variability and PCC functional connectivity in 22q11. 2 deletion syndrome." NeuroImage. [link].

van Elst, Ludger Tebartz & Riedel, Andreas & Maier, Simon. (2016). "Autism as a disorder of altered global functional and structural connectivity." Biological psychiatry. [link].

Peer-reviewed journal articles that cited ADHD-200 data

AbiDargham, Anissa & Horga, Guillermo. (2016). "The search for imaging biomarkers in psychiatric disorders." Nature Medicine. [link].

Altman, Nolan R & Bernal, Byron. (2015). "Pediatric applications of functional magnetic resonance imaging." Pediatric radiology. [link].

Arbabshirani, Mohammad R & Plis, Sergey & Sui, Jing & Calhoun, Vince D. (2017). "Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls." NeuroImage. [link].

Baroni, Argelinda & Castellanos, F Xavier. (2015). "Neuroanatomic and cognitive abnormalities in attention-deficit/hyperactivity disorder in the era of 'high definition'neuroimaging." Current opinion in neurobiology. [link].

Botteron, KC & Carter, Cameron & Castellanos, Francisco Xavier & Dickstein, Daniel P & Drevets, Wayne & Kim, Kerri L & Pescosolido, Matthew F & Rausch, Scott & Seymour, Karen E & Sheline, Yvette & others. (2012). "Consensus report of the APA work group on neuroimaging markers of psychiatric disorders." American Psychiatric Association. [link].

Boubela, Roland N & Kalcher, Klaudius & Huf, Wolfgang & Navsel, Christian & Moser, Ewald. (2015). "Big data approaches for the analysis of large-scale fMRI data using apache spark and GPU processing: A demonstration on resting-state fMRI data from the …." Frontiers in neuroscience. [link].

Buitelaar, Jan K & Coghill, David R. (2013). Brain imaging: closing the gap between basic research and clinical application is urgently needed. [link].

Cao, Miao & Shu, Ni & Cao, Qingjiu & Wang, Yufeng & He, Yong. (2014). "Imaging functional and structural brain connectomics in attention-deficit/hyperactivity disorder." Molecular neurobiology. [link].

Carnell, Susan & Benson, Leora & Pryor, Katherine & Driggin, Elissa. (2013). "Appetitive traits from infancy to adolescence: Using behavioral and neural measures to investigate obesity risk." Physiology and behavior. [link].

Castellanos, F Xavier & Aoki, Yuta. (2016). "Intrinsic functional connectivity in attention-deficit/hyperactivity disorder: A science in development." Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. [link].

Castellanos, F Xavier & Di Martino, Adriana & Craddock, R Cameron & Mehta, Ashesh D & Milham, Michael P. (2013). "Clinical applications of the functional connectome." Neuroimage. [link].

Castellanos, F Xavier & Proal, Erika. (2012). "Large-scale brain systems in ADHD: beyond the prefrontal–striatal model." Trends in cognitive sciences. [link].

Castellanos, F Xavier & Yoncheva, Yuliya. (2014). "The best and worst of times: Commentary on “Current limitations and future directions in MRI studies of child-and adult-onset developmental …." Journal of child psychology and psychiatry, and allied disciplines. [link].

Chen, Gang & Ward, B Douglas & Xie, Chunming & Li, Wenjun & Chen, Guangyu & Goveas, Joseph S & Antuono, Piero G & Li, ShiJiang. (2012). "A clustering-based method to detect functional connectivity differences." NeuroImage. [link].

Choudhury, Suparna & Fishman, Jennifer R & McGowan, Michelle L & Juengst, Eric T. (2014). "Big data, open science and the brain: lessons learned from genomics." Frontiers in human neuroscience. [link].

Craddock, C & Sikka, S & Cheung, B & Khanuja, R & Ghosh, SS & Yan, C & Li, Q & Lurie, D & Vogelstein, J & Burns, R & others. (2013). "Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (c-pac)." Front Neuroinform. [link].

Di Martino, Adriana & Fair, Damien A & Kelly, Clare & Satterthwaite, Theodore D & Castellanos, F Xavier & Thomason, Moriah E & Craddock, R Cameron & Luna, Beatriz & Leventhal, Bennett L & Zuo, XiNian & others. (2014). "Unraveling the miswired connectome: a developmental perspective." Neuron. [link].

Driver, David I & Anvari, Afsoon A & Peroutka, Christina M & Kataria, Rachna & Overman, Jerry & Lang, David & Tietcheu, Maria & Parker, Reggie & Baptiste, Keith & Rapoport, Judith L & others. (2014). "Management of clozapine-induced fever in a child." American Journal of Psychiatry. [link].

Fan, Jianqing & Han, Fang & Liu, Han. (2014). "Challenges of big data analysis." National science review. [link].

Fassbender, Catherine & Krafft, Cynthia E & Schweitzer, Julie B. (2015). "Differentiating SCT and inattentive symptoms in ADHD using fMRI measures of cognitive control." NeuroImage: Clinical. [link].

Feis, Rogier A & Smith, Stephen M & Filippini, Nicola & Douaud, Gwenaelle & Dopper, Elise GP & Heise, Verena & Trachtenberg, Aaron J & van Swieten, John C & van Buchem, Mark A & Rombouts, Serge ARB & others. (2015). "ICA-based artifact removal diminishes scan site differences in multi-center resting-state fMRI." Frontiers in neuroscience. [link].

GonzalezGomez, Dulce Isabel & Lopez, Javier Miguel Hernandez & Barbosa, Eduardo Moreno & Hernandez, Mario Ivan Martinez & Tobon, Silvia Hidalgo & de Celis Alonso, Benito. (2014). "A WAVELET ANALYSIS OF BOLD SIGNALS OBTAINED IN MR STUDIES FOR ADHD DIAGNOSIS." European Scientific Journal. [link].

Gorgolewski, Krzysztof & Margulies, Daniel S & Milham, Michael P. (2013). "Making data sharing count: a publication-based solution." Frontiers in neuroscience. [link].

Greene, Deanna J & Church, Jessica A & Dosenbach, Nico UF & Nielsen, Ashley N & Adeyemo, Babatunde & Nardos, Binyam & Petersen, Steven E & Black, Kevin J & Schlaggar, Bradley L. (2016). "Multivariate pattern classification of pediatric Tourette syndrome using functional connectivity MRI." Developmental science. [link].

Hahn, T & Nierenberg, AA & WhitfieldGabrieli, S. (2017). "Predictive analytics in mental health: applications, guidelines, challenges and perspectives." Molecular psychiatry. [link].

Hammer, Rubi & Cooke, Gillian E & Stein, Mark A & Booth, James R. (2015). "Functional neuroimaging of visuospatial working memory tasks enables accurate detection of attention deficit and hyperactivity disorder." NeuroImage: Clinical. [link].

Hart, Heledd & Marquand, Andre F & Smith, Anna & Cubillo, Ana & Simmons, Andrew & Brammer, Michael & Rubia, Katya. (2014). "Predictive neurofunctional markers of attention-deficit/hyperactivity disorder based on pattern classification of temporal processing." Journal of the American Academy of Child and Adolescent Psychiatry. [link].

Hayward, Andrew & Tomlinson, Anneka & Neill, Joanna C. (2016). "Low attentive and high impulsive rats: A translational animal model of ADHD and disorders of attention and impulse control." Pharmacology and therapeutics. [link].

Heidbreder, Rebeca. (2015). "ADHD symptomatology is best conceptualized as a spectrum: A dimensional versus unitary approach to diagnosis." ADHD Attention Deficit and Hyperactivity Disorders. [link].

Honor, Leah B & Haselgrove, Christian & Frazier, Jean A & Kennedy, David N. (2016). "Data citation in neuroimaging: Proposed best practices for data identification and attribution." Frontiers in neuroinformatics. [link].

Horga, Guillermo & Kaur, Tejal & Peterson, Bradley S. (2014). "Annual Research Review: Current limitations and future directions in MRI studies of child‐and adult‐onset developmental psychopathologies." Journal of Child Psychology and Psychiatry. [link].

Huang, Bevan E & Mulyasasmita, Widya & Rajagopal, Gunaretnam. (2016). "The path from big data to precision medicine." Expert Review of Precision Medicine and Drug Development. [link].

Hulvershorn, Leslie A & Cullen, Kathryn R & Francis, Michael M & Westlund, Melinda K. (2014). "Developmental resting state functional connectivity for clinicians." Current behavioral neuroscience reports. [link].

Iannaccone, Reto & Hauser, Tobias U & Ball, Juliane & Brandeis, Daniel & Walitza, Susanne & Brem, Silvia. (2015). "Classifying adolescent attention-deficit/hyperactivity disorder (ADHD) based on functional and structural imaging." European child and adolescent psychiatry. [link].

Kadosh, Roi Cohen & Dowker, Ann & Heine, Angela & Kaufmann, Liane & Kucian, Karin. (2013). "Interventions for improving numerical abilities: present and future." Trends in neuroscience and education. [link].

Kadosh, Roi Cohen & Dowker, Ann & Heine, Angela & Kaufmann, Liane & Kucian, Karin. (20). Trends in Neuroscience and Education. [link].

Karbasforoushan, H & Woodward, ND. (2012). "Resting-state networks in schizophrenia." Current topics in medicinal chemistry. [link].

Kelly, Clare & Biswal, Bharat B & Craddock, R Cameron & Castellanos, F Xavier & Milham, Michael P. (2012). "Characterizing variation in the functional connectome: promise and pitfalls." Trends in cognitive sciences. [link].

Kennedy, David N & Haselgrove, Christian & Riehl, Jon & Preuss, Nina & Buccigrossi, Robert. (2015). "The three NITRCs: A guide to neuroimaging neuroinformatics resources." Neuroinformatics. [link].

Kennedy, David N & Haselgrove, Christian & Riehl, Jon & Preuss, Nina & Buccigrossi, Robert. (2016). "The NITRC image repository." Neuroimage. [link].

Kerr, Wesley T & Lau, Edward P & Owens, Gwen E & Trefler, Aaron. (2012). "The future of medical diagnostics: large digitized databases." Yale J Biol Med. [link].

Kessler, Daniel & Angstadt, Michael & Sripada, Chandra. (2016). "Growth charting of brain connectivity networks and the identification of attention impairment in youth." JAMA psychiatry. [link].

Lenartowicz, Agatha & Loo, Sandra K. (2014). "Use of EEG to diagnose ADHD." Current psychiatry reports. [link].

Levman, Jacob & Takahashi, Emi. (2015). "Multivariate analyses applied to fetal, neonatal and pediatric MRI of neurodevelopmental disorders." NeuroImage: Clinical. [link].

Lifshitz, Michael & Margulies, Daniel S & Raz, Amir. (2012). "Lengthy and expensive? Why the future of diagnostic neuroimaging may be faster, cheaper, and more collaborative than we think." AJOB Neuroscience. [link].

Loo, Sandra K & Arns, Martijn. (2015). "Should the EEG–Based Theta to Beta Ratio Be Used to Diagnose ADHD?." The ADHD Report. [link].

Macko, Marek & Mikolajewska, Emilia & Szczepanski, Zbigniew & Augustynska, Beata & Mikolajewski, Dariusz. (2016). "Repository of images for reverse engineering and medical simulation purposes." Medical and Biological Sciences. [link].

Matthews, Marguerite & Fair, Damien A. (2015). "Research review: Functional brain connectivity and child psychopathology–overview and methodological considerations for investigators new to the field." Journal of Child Psychology and Psychiatry. [link].

Mennes, Maarten. (2016). "Commentary: Leveraging discovery science to advance child and adolescent psychiatric research–a commentary on Zhao and Castellanos 2016." Journal of Child Psychology and Psychiatry. [link].

Mennes, Maarten & Biswal, Bharat B & Castellanos, F Xavier & Milham, Michael P. (2013). "Making data sharing work: the FCP/INDI experience." Neuroimage. [link].

Milham, Michael Peter. (2012). "Open neuroscience solutions for the connectome-wide association era." Neuron. [link].

MirandaDominguez, Oscar & Mills, Brian D & Carpenter, Samuel D & Grant, Kathleen A & Kroenke, Christopher D & Nigg, Joel T & Fair, Damien A. (2014). "Connectotyping: model based fingerprinting of the functional connectome." PloS one. [link].

Muschelli, John & Nebel, Mary Beth & Caffo, Brian S & Barber, Anita D & Pekar, James J & Mostofsky, Stewart H. (2014). "Reduction of motion-related artifacts in resting state fMRI using aCompCor." Neuroimage. [link].

Oldehinkel, Marianne & Francx, Winke & Beckmann, Christian F & Buitelaar, Jan K & Mennes, Maarten. (2013). "Resting state FMRI research in child psychiatric disorders." European child and adolescent psychiatry. [link].

Palpanas, Themis. (2015). "Data series management: the road to big sequence analytics." ACM SIGMOD Record. [link].

Palpanas, Themis. (2016). Big Sequence Management: A glimpse of the Past, the Present, and the Future. [link].

Pauli, Ruth & Bowring, Alexander & Reynolds, Richard & Chen, Gang & Nichols, Thomas E & Maumet, Camille. (2016). "Exploring fMRI results space: 31 variants of an fMRI analysis in AFNI, FSL, and SPM." Frontiers in neuroinformatics. [link].

Pereira, Ramon Fraga & Heinsfeld, Anibal Solon & Franco, Alexandre Rosa & Buchweitz, Augusto & Meneguzzi, Felipe. (2016). "Detecting task-based fMRI compliance using plan abandonment techniques." GigaScience.

Pinaya, Walter HL & Gadelha, Ary & Doyle, Orla M & Noto, Cristiano & Zugman, Andre & Cordeiro, Quirino & Jackowski, Andrea P & Bressan, Rodrigo A & Sato, Joao R. (2016). "Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia." Scientific Reports. [link].

Poline, JeanBaptiste & Breeze, Janis L & Ghosh, Satrajit S & Gorgolewski, Krzysztof & Halchenko, Yaroslav O & Hanke, Michael & Helmer, Karl G & Marcus, Daniel S & Poldrack, Russell A & Schwartz, Yannick & others. (2012). "Data sharing in neuroimaging research." Frontiers in neuroinformatics. [link].

Posner, Jonathan & Park, Christine & Wang, Zhishun. (2014). "Connecting the dots: a review of resting connectivity MRI studies in attention-deficit/hyperactivity disorder." Neuropsychology review. [link].

Rao, Hengyi & Wang, Danny Jiongjiong & Yang, Yihong & He, Yong. (2015). "Neuroimaging of brain networks and function." BioMed research international. [link].

Rohlfing, Torsten & Poline, JB. (2012). "Why shared data should not be acknowledged on the author byline." NeuroImage. [link].

Rommelse, Nanda & de Zeeuw, Patrick. (2014). Neurobiological measures to classify ADHD: a critical appraisal. [link].

Rosenberg, MD & Finn, ES & Scheinost, D & Constable, RT & Chun, MM. (2017). "Characterizing Attention with Predictive Network Models." Trends in Cognitive Sciences. [link].

Rubia, Katya & Alegria, Analucia A & Brinson, Helen. (2014). "Brain abnormalities in attention-deficit hyperactivity disorder: a review." Rev Neurol. [link].

Sample, Matthew. (2012). "Evolutionary, Not Revolutionary: Current Prospects for Diagnostic Neuroimaging." AJOB Neuroscience. [link].

Sato, Joao R & Rondina, Jane M & MouraoMiranda, Janaina. (2012). "Measuring abnormal brains: building normative rules in neuroimaging using one-class support vector machines." Frontiers in neuroscience. [link].

Savalia, Neil K & Agres, Phillip F & Chan, Micaela Y & Feczko, Eric J & Kennedy, Kristen M & Wig, Gagan S. (2017). "Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion." Human Brain Mapping. [link].

Shen, Xilin & Finn, Emily S & Scheinost, Dustin & Rosenberg, Monica D & Chun, Marvin M & Papademetris, Xenophon & Constable, R Todd. (2017). "Using connectome-based predictive modeling to predict individual behavior from brain connectivity." Nature Protocols. [link].

Steinbeis, Nikolaus & Margulies, Daniel S. (2016). "Opportunities and challenges for current developmental neuroscience." Theory and Psychology. [link].

Stephan, Klaas Enno & Schlagenhauf, Florian & Huys, Quentin JM & Raman, Sudhir & Aponte, Eduardo A & Brodersen, Kay H & Rigoux, Lionel & Moran, Rosalyn J & Daunizeau, J & Dolan, RJ & others. (2017). "Computational neuroimaging strategies for single patient predictions." Neuroimage. [link].

Suhaimi, NF & Htike, Zaw Zaw & Rashid, NKL Md. (2015). "Studies on classification of fMRI data using deep learning approach." ARPN J Eng Appl Sci. [link].

Sundermann, B & Herr, D & Schwindt, W & Pfleiderer, B. (2014). "Multivariate classification of blood oxygen level–dependent fMRI data with diagnostic intention: a clinical perspective." American Journal of Neuroradiology. [link].

Turner, Jessica A. (2014). "The rise of large-scale imaging studies in psychiatry." GigaScience. [link].

Varoquaux, Gael & Craddock, R Cameron. (2013). "Learning and comparing functional connectomes across subjects." NeuroImage. [link].

Vieira, Sandra & Pinaya, Walter HL & Mechelli, Andrea. (2017). "Using deep learning to investigate the neuroimaging correlates of psychiatric and neurological disorders: methods and applications." Neuroscience and Biobehavioral Reviews. [link].

Walsh, Pat & Elsabbagh, Mayada & Bolton, Patrick & Singh, Ilina. (2011). "In search of biomarkers for autism: scientific, social and ethical challenges." Nature Reviews Neuroscience. [link].

Wen, Hongwei & Liu, Yue & Rekik, Islem & Wang, Shengpei & Chen, Zhiqiang & Zhang, Jishui & Zhang, Yue & Peng, Yun & He, Huiguang. (2017). "Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children." Pattern Recognition. [link].

Wintermark, M & Coombs, L & Druzgal, TJ & Field, AS & Filippi, CG & Hicks, R & Horton, R & Lui, YW & Law, M & Mukherjee, P & others. (2015). "Traumatic brain injury imaging research roadmap." American Journal of Neuroradiology. [link].

Wolfers, Thomas & Buitelaar, Jan K & Beckmann, Christian F & Franke, Barbara & Marquand, Andre F. (2015). "From estimating activation locality to predicting disorder: a review of pattern recognition for neuroimaging-based psychiatric diagnostics." Neuroscience and Biobehavioral Reviews. [link].

Wolfers, Thomas & van Rooij, Daan & Oosterlaan, Jaap & Heslenfeld, Dirk & Hartman, Catharina A & Hoekstra, Pieter J & Beckmann, Christian F & Franke, Barbara & Buitelaar, Jan K & Marquand, Andre F. (2016). "Quantifying patterns of brain activity: Distinguishing unaffected siblings from participants with ADHD and healthy individuals." NeuroImage: Clinical. [link].

Woo, ChoongWan & Chang, Luke J & Lindquist, Martin A & Wager, Tor D. (2017). "Building better biomarkers: brain models in translational neuroimaging." Nature Neuroscience. [link].

Xia, Mingrui & He, Yong. (2017). "Functional connectomics from a “big data” perspective." NeuroImage. [link].

Yan, Chaogan & Li, Qingyang & Gao, Lei. (2014). "PRN: a preprint service for catalyzing R-fMRI and neuroscience related studies." F1000Research. [link].

Zhao, Yihong & Castellanos, F Xavier. (2016). "Annual Research Review: Discovery science strategies in studies of the pathophysiology of child and adolescent psychiatric disorders‐promises and limitations." Journal of Child Psychology and Psychiatry. [link].

Zoumpatianos, Kostas & Idreos, Stratos & Palpanas, Themis. (2016). "ADS: the adaptive data series index." The VLDB Journal. [link].

de Celis Alonso, Benito & Tobon, Silvia Hidalgo & Suarez, Pilar Dies & Flores, Julio Garcia & de Celis Carrillo, Benito & Perez, Eduardo Barragan. (2014). "A multi-methodological MR resting state network analysis to assess the changes in brain physiology of children with ADHD." PloS one. [link].

von Rhein, Daniel & Mennes, Maarten & van Ewijk, Hanneke & Groenman, Annabeth P & Zwiers, Marcel P & Oosterlaan, Jaap & Heslenfeld, Dirk & Franke, Barbara & Hoekstra, Pieter J & Faraone, Stephen V & others. (2015). "The NeuroIMAGE study: a prospective phenotypic, cognitive, genetic and MRI study in children with attention-deficit/hyperactivity disorder. Design and descriptives." European child and adolescent psychiatry. [link].

Peer-reviewed journal articles that cited NKI-Rockland data

Baillet, Sylvain. (2017). "Magnetoencephalography for brain electrophysiology and imaging." Nature Neuroscience. [link].

Boubela, Roland N & Kalcher, Klaudius & Huf, Wolfgang & Navsel, Christian & Moser, Ewald. (2015). "Big data approaches for the analysis of large-scale fMRI data using apache spark and GPU processing: A demonstration on resting-state fMRI data from the …." Frontiers in neuroscience. [link].

Castellanos, F Xavier & Di Martino, Adriana & Craddock, R Cameron & Mehta, Ashesh D & Milham, Michael P. (2013). "Clinical applications of the functional connectome." Neuroimage. [link].

Castellanos, Francisco Xavier & Cortese, Samuele & Proal, Erika. (2013). Connectivity. [link].

Craddock, C & Sikka, S & Cheung, B & Khanuja, R & Ghosh, SS & Yan, C & Li, Q & Lurie, D & Vogelstein, J & Burns, R & others. (2013). "Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (c-pac)." Front Neuroinform. [link].

Di Martino, Adriana & Fair, Damien A & Kelly, Clare & Satterthwaite, Theodore D & Castellanos, F Xavier & Thomason, Moriah E & Craddock, R Cameron & Luna, Beatriz & Leventhal, Bennett L & Zuo, XiNian & others. (2014). "Unraveling the miswired connectome: a developmental perspective." Neuron. [link].

Eickhoff, Simon B & Constable, R Todd & Yeo, BT Thomas. (2017). "Topographic organization of the cerebral cortex and brain cartography." NeuroImage. [link].

Gorgolewski, Krzysztof & Margulies, Daniel S & Milham, Michael P. (2013). "Making data sharing count: a publication-based solution." Frontiers in neuroscience. [link].

Gorgolewski, Krzysztof J & Poldrack, Russell A. (2016). "A practical guide for improving transparency and reproducibility in neuroimaging research." PLoS Biol. [link].

Keator, David B & Helmer, K & Steffener, Jason & Turner, Jessica A & Van Erp, Theo GM & Gadde, Syam & Ashish, Naveen & Burns, GA & Nichols, B Nolan. (2013). "Towards structured sharing of raw and derived neuroimaging data across existing resources." Neuroimage. [link].

Kennedy, David N & Haselgrove, Christian & Riehl, Jon & Preuss, Nina & Buccigrossi, Robert. (2016). "The NITRC image repository." Neuroimage. [link].

King, Margaret D & Wood, Dylan & Miller, Brittny & Kelly, Ross & Landis, Drew & Courtney, William & Wang, Runtang & Turner, Jessica A & Calhoun, Vince D. (2014). Automated collection of imaging and phenotypic data to centralized and distributed data repositories. [link].

Koyama, Maki S & Di Martino, Adriana & Castellanos, Francisco X & Ho, Erica J & Marcelle, Enitan & Leventhal, Bennett & Milham, Michael P. (2016). "Imaging the “At-Risk” Brain: Future Directions." Journal of the International Neuropsychological Society. [link].

Landis, Drew & Courtney, William & Dieringer, Christopher & Kelly, Ross & King, Margaret & Miller, Brittny & Wang, Runtang & Wood, Dylan & Turner, Jessica A & Calhoun, Vince D. (2016). "COINS Data Exchange: An open platform for compiling, curating, and disseminating neuroimaging data." NeuroImage. [link].

Mennes, Maarten & Biswal, Bharat B & Castellanos, F Xavier & Milham, Michael P. (2013). "Making data sharing work: the FCP/INDI experience." Neuroimage. [link].

Milham, Michael Peter. (2012). "Open neuroscience solutions for the connectome-wide association era." Neuron. [link].

Mivsic, Bratislav & Sporns, Olaf. (2016). "From regions to connections and networks: new bridges between brain and behavior." Current opinion in neurobiology. [link].

Nichols, B Nolan & Mejino, Jose LV & Detwiler, Landon T & Nilsen, Trond T & Martone, Maryann E & Turner, Jessica A & Rubin, Daniel L & Brinkley, James F. (2014). "Neuroanatomical domain of the foundational model of anatomy ontology." Journal of biomedical semantics. [link].

Nooner, Kate & Colcombe, Stanley & Tobe, Russell & Mennes, Maarten & Benedict, Melissa & Moreno, Alexis & Panek, Laura & Brown, Shaquanna & Zavitz, Stephen & Li, Qingyang & Sikka, Sharad & Gutman, David & Bangaru, Saroja & Schlachter, Rochelle Tziona & Kamiel, Stephanie & Anwar, Ayesha & Hinz, Caitlin & Kaplan, Michelle & Rachlin, Anna & Adelsberg, Samantha & Cheung, Brian & Khanuja, Ranjit & Yan, Chaogan & Craddock, Cameron & Calhoun, Vincent & Courtney, William & King, Margaret & Wood, Dylan & Cox, Christine & Kelly, Clare & DiMartino, Adriana & Petkova, Eva & Reiss, Philip & Duan, Nancy & Thompsen, Dawn & Biswal, Bharat & Coffey, Barbara & Hoptman, Matthew & Javitt, Daniel & Pomara, Nunzio & Sidtis, John & Koplewicz, Harold & Castellanos, Francisco & Leventhal, Bennett & Milham, Michael. (2012). The NKI-Rockland sample: a model for accelerating the pace of discovery science in psychiatry. Front. Neurosci. 6, 152.

Nooner, Kate Brody & Colcombe, Stanley & Tobe, Russell & Mennes, Maarten & Benedict, Melissa & Moreno, Alexis & Panek, Laura & Brown, Shaquanna & Zavitz, Stephen & Li, Qingyang & others. (2012). "The NKI-Rockland sample: a model for accelerating the pace of discovery science in psychiatry." Frontiers in neuroscience. [link].

Orr, Joseph M & Paschall, Courtnie J & Banich, Marie T. (2016). "Recreational marijuana use impacts white matter integrity and subcortical (but not cortical) morphometry." NeuroImage: Clinical. [link].

Pereira, Ramon Fraga & Heinsfeld, Anibal Solon & Franco, Alexandre Rosa & Buchweitz, Augusto & Meneguzzi, Felipe. (2016). "Detecting task-based fMRI compliance using plan abandonment techniques." GigaScience.

Poldrack, Russell A & Barch, Deanna M & Mitchell, Jason & Wager, Tor & Wagner, Anthony D & Devlin, Joseph T & Cumba, Chad & Koyejo, Oluwasanmi & Milham, Michael. (2013). "Toward open sharing of task-based fMRI data: the OpenfMRI project." Frontiers in neuroinformatics. [link].

Pool, EvaMaria & Rehme, Anne K & Eickhoff, Simon B & Fink, Gereon R & Grefkes, Christian. (2015). "Functional resting-state connectivity of the human motor network: Differences between right-and left-handers." NeuroImage. [link].

Posner, Jonathan & Park, Christine & Wang, Zhishun. (2014). "Connecting the dots: a review of resting connectivity MRI studies in attention-deficit/hyperactivity disorder." Neuropsychology review. [link].

Preti, Maria Giulia & Bolton, Thomas AW & Van De Ville, Dimitri. (2016). "The dynamic functional connectome: State-of-the-art and perspectives." NeuroImage. [link].

Ramani, Ramachandran. (2015). "Connectivity." Current Opinion in Anesthesiology. [link].

Roy, Dipanjan & Sigala, Rodrigo & Breakspear, Michael & McIntosh, Anthony Randal & Jirsa, Viktor K & Deco, Gustavo & Ritter, Petra. (2014). "Using the virtual brain to reveal the role of oscillations and plasticity in shaping brain's dynamical landscape." Brain connectivity. [link].

Satterthwaite, Theodore D & Baker, Justin T. (2015). "How can studies of resting-state functional connectivity help us understand psychosis as a disorder of brain development?." Current opinion in neurobiology. [link].

Satterthwaite, Theodore D & Connolly, John J & Ruparel, Kosha & Calkins, Monica E & Jackson, Chad & Elliott, Mark A & Roalf, David R & Hopson, Ryan & Prabhakaran, Karthik & Behr, Meckenzie & others. (2016). "The Philadelphia Neurodevelopmental Cohort: A publicly available resource for the study of normal and abnormal brain development in youth." Neuroimage. [link].

Satterthwaite, Theodore D & Elliott, Mark A & Ruparel, Kosha & Loughead, James & Prabhakaran, Karthik & Calkins, Monica E & Hopson, Ryan & Jackson, Chad & Keefe, Jack & Riley, Marisa & others. (2014). "Neuroimaging of the Philadelphia neurodevelopmental cohort." Neuroimage. [link].

Satterthwaite, Theodore D & Wolf, Daniel H & Ruparel, Kosha & Erus, Guray & Elliott, Mark A & Eickhoff, Simon B & Gennatas, Efstathios D & Jackson, Chad & Prabhakaran, Karthik & Smith, Alex & others. (2013). "Heterogeneous impact of motion on fundamental patterns of developmental changes in functional connectivity during youth." Neuroimage. [link].

Shen, Xilin & Finn, Emily S & Scheinost, Dustin & Rosenberg, Monica D & Chun, Marvin M & Papademetris, Xenophon & Constable, R Todd. (2017). "Using connectome-based predictive modeling to predict individual behavior from brain connectivity." Nature Protocols. [link].

Teuber, Anja & Sundermann, Benedikt & Kugel, Harald & Schwindt, Wolfram & Heindel, Walter & Minnerup, Jens & Dannlowski, Udo & Berger, Klaus & Wersching, Heike. (2017). "MR imaging of the brain in large cohort studies: feasibility report of the population-and patient-based BiDirect study." European radiology. [link].

Van Essen, David C & Ugurbil, Kamil & Auerbach, E & Barch, D & Behrens, TEJ & Bucholz, R & Chang, Acer & Chen, Liyong & Corbetta, Maurizio & Curtiss, Sandra W & others. (2012). "The Human Connectome Project: a data acquisition perspective." Neuroimage. [link].

Wintermark, M & Coombs, L & Druzgal, TJ & Field, AS & Filippi, CG & Hicks, R & Horton, R & Lui, YW & Law, M & Mukherjee, P & others. (2015). "Traumatic brain injury imaging research roadmap." American Journal of Neuroradiology. [link].

Wood, Dylan & King, Margaret & Landis, Drew & Courtney, William & Wang, Runtang & Kelly, Ross & Turner, Jessica A & Calhoun, Vince D. (2014). Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools. [link].

YAN, ZhiXiong & LIU, Xun & TAN, ShuPing & TAN, YunLong & WEI, GaoXia & YANG, Zhi & ZUO, XiNian. (2015). "Developmental cognitive neurosciecne: Functional connectomics agenda for human brain lifespan development." Chinese Science Bulletin. [link].

YANG, Zhi & ZUO, XiNian. (2015). "Big neuroimaging data-informed mind-brain association studies: Methodology and applications." Chinese Science Bulletin. [link].

Zhao, Yihong & Castellanos, F Xavier. (2016). "Annual Research Review: Discovery science strategies in studies of the pathophysiology of child and adolescent psychiatric disorders‐promises and limitations." Journal of Child Psychology and Psychiatry. [link].

Zuo, XiNian & He, Ye & Betzel, Richard F & Colcombe, Stan & Sporns, Olaf & Milham, Michael P. (2016). "Human Connectomics across the Life Span." Trends in Cognitive Sciences. [link].

Peer-reviewed journal articles that cited CORR data

Fan, Jianqing & Han, Fang & Liu, Han. (2014). "Challenges of big data analysis." National science review. [link].

Mar, Raymond A & Spreng, R Nathan & DeYoung, Colin G. (2013). "How to produce personality neuroscience research with high statistical power and low additional cost." Cognitive, Affective, and Behavioral Neuroscience. [link].

Pestilli, Franco. (2015). "Test-retest measurements and digital validation for in vivo neuroscience." Scientific data. [link].

Shah, Lubdha M & Cramer, Justin A & Ferguson, Michael A & Birn, Rasmus M & Anderson, Jeffrey S. (2016). "Reliability and reproducibility of individual differences in functional connectivity acquired during task and resting state." Brain and behavior. [link].

South, M & Stephenson, KG & Nielson, CA & Maisel, M & Top, DN & Kirwan, CB. (2015). "Overactive pattern separation memory associated with negative emotionality in adults diagnosed with autism spectrum disorder." Journal of autism and developmental disorders. [link].

Turner, Martin R & Modo, Michel. (2010). "Advances in the application of MRI to amyotrophic lateral sclerosis." Expert opinion on medical diagnostics. [link].

Wintermark, M & Coombs, L & Druzgal, TJ & Field, AS & Filippi, CG & Hicks, R & Horton, R & Lui, YW & Law, M & Mukherjee, P & others. (2015). "Traumatic brain injury imaging research roadmap." American Journal of Neuroradiology. [link].

Xia, Mingrui & He, Yong. (2017). "Functional connectomics from a “big data” perspective." NeuroImage. [link].

YANG, Zhi & ZUO, XiNian. (2015). "Big neuroimaging data-informed mind-brain association studies: Methodology and applications." Chinese Science Bulletin. [link].

Peer-reviewed journal articles that cited unspecified data

Craddock, R Cameron & Tungaraza, Rosalia L & Milham, Michael P. (2015). "Connectomics and new approaches for analyzing human brain functional connectivity." GigaScience. [link].

Frisoni, Giovanni B & Redolfi, Alberto & Manset, David & Rousseau, MarcEtienne & Toga, Arthur & Evans, Alan C. (2011). "Virtual imaging laboratories for marker discovery in neurodegenerative diseases." Nature Reviews Neurology. [link].

Hotehama, Atsuhiro & Mimura, Tatsuya & Usui, Tomohiko & Kawashima, Hidetoshi & Amano, Shiro. (2011). "Sudden onset of amantadine-induced reversible bilateral corneal edema in an elderly patient: case report and literature review." Japanese journal of ophthalmology. [link].

JorgeHernandez, Fernando & GarciaZapirain, Begonya. (2016). "Reliability Test for Processing of Magnetic Resonance Images in Resting State Using Graph Theory." Journal of Medical Imaging and Health Informatics. [link].

Kuo, PoChih & Chen, YiTi & Chen, YongSheng & Chen, LiFen. (2017). "Voxel-based analysis of diffusion MRI data is increasingly popular. However, most white matter voxels contain contributions from multiple fibre populations (often …." NeuroImage. [link].

Lohmann, Gabriele & Stelzer, Johannes & Neumann, Jane & Ay, Nihat & Turner, Robert. (2013). "“More is different” in functional magnetic resonance imaging: a review of recent data analysis techniques." Brain connectivity. [link].

Pinheiro, J. (2013). "2008–Agenesis of corpus callosum and psychosis-review and case description." European Psychiatry. [link].

Poldrack, Russell A & Farah, Martha J. (2015). "Progress and challenges in probing the human brain." Nature. [link].

Poldrack, Russell A & Gorgolewski, Krzysztof J. (2014). "Making big data open: data sharing in neuroimaging." Nature neuroscience. [link].

Saad, Ziad S & Jo, Hang Joon & Martin, Alex & Cox, Robert W. (2011). Global Signal Regression and False Inferences in Resting State FMRI: It is not just about anti-correlations Article Type: Comments and Controversies ….

王玮 & others. (2015). ESI 中心理学及相关领域热点论文信息推送 2015 年第 3 期 (总第 23 期). [link].

Peer-reviewed journal articles that cited 1,000 Functional Connectomes data

Abela, Eugenio & Rummel, Christian & Hauf, Martinus & Weisstanner, Christian & Schindler, K & Wiest, Roland. (2014). "Neuroimaging of epilepsy: lesions, networks, oscillations." Clinical neuroradiology. [link].

Adolf, Daniela & Weston, Snezhana & Baecke, Sebastian & Luchtmann, Michael & Bernarding, Johannes & Kropf, Siegfried. (2014). "Increasing the reliability of data analysis of functional magnetic resonance imaging by applying a new blockwise permutation method." Frontiers in neuroinformatics. [link].

Altmann, A & Schroter, Manuel S & Spoormaker, Victor I & Kiem, SA & Jordan, D & Ilg, R & Bullmore, Edward T & Greicius, Michael D & Czisch, Michael & Samann, Philipp G. (2016). "Validation of non-REM sleep stage decoding from resting state fMRI using linear support vector machines." Neuroimage. [link].

Batalla, Albert & Bhattacharyya, Sagnik & Yucel, Murat & FusarPoli, Paolo & Crippa, Jose Alexandre & Nogue, Santiago & Torrens, Marta & Pujol, Jesus & Farre, Magi & MartinSantos, Rocio. (2013). "Structural and functional imaging studies in chronic cannabis users: a systematic review of adolescent and adult findings." PloS one. [link].

Birn, Rasmus M & Molloy, Erin K & Patriat, Remi & Parker, Taurean & Meier, Timothy B & Kirk, Gregory R & Nair, Veena A & Meyerand, M Elizabeth & Prabhakaran, Vivek. (2013). "The effect of scan length on the reliability of resting-state fMRI connectivity estimates." Neuroimage. [link].

Cabral, Joana RB. (20). Brain activity during rest. [link].

Camerra, Alessandro & Shieh, Jin & Palpanas, Themis & Rakthanmanon, Thanawin & Keogh, Eamonn. (2014). "Beyond one billion time series: indexing and mining very large time series collections with iSAX2+." Knowledge and information systems. [link].

Carp, Joshua. (2012). "On the plurality of (methodological) worlds: estimating the analytic flexibility of fMRI experiments." Frontiers in neuroscience. [link].

Congdon, Eliza & Poldrack, Russell A & Freimer, Nelson B. (2010). "Neurocognitive phenotypes and genetic dissection of disorders of brain and behavior." Neuron. [link].

Davis, F Caroline & Knodt, Annchen R & Sporns, Olaf & Lahey, Benjamin B & Zald, David H & Brigidi, Bart D & Hariri, Ahmad R. (2013). "Impulsivity and the modular organization of resting-state neural networks." Cerebral Cortex. [link].

Dickie, David Alexander & Job, Dominic E & Poole, Ian & Ahearn, Trevor S & Staff, Roger T & Murray, Alison D & Wardlaw, Joanna M. (2012). "Do brain image databanks support understanding of normal ageing brain structure? A systematic review." European radiology. [link].

Dickinson, Philip & Looper, Karl J. (2012). "Psychogenic nonepileptic seizures: a current overview." Epilepsia. [link].

Dubois, Julien & Adolphs, Ralph. (2016). "Building a science of individual differences from fMRI." Trends in cognitive sciences. [link].

Farber, Gregory K. (2016). "Can data repositories help find effective treatments for complex diseases? Submitted to Progress in Neurobiology." Progress in neurobiology. [link].

Fei, Fei & Jie, Biao & Zhang, Daoqiang. (2014). "Frequent and discriminative subnetwork mining for mild cognitive impairment classification." Brain connectivity. [link].

Ferguson, Adam R & Nielson, Jessica L & Cragin, Melissa H & Bandrowski, Anita E & Martone, Maryann E. (2014). "Big data from small data: data-sharing in the'long tail'of neuroscience." Nature neuroscience. [link].

Ferreira, Luiz Kobuti & Busatto, Geraldo F. (2013). "Resting-state functional connectivity in normal brain aging." Neuroscience and Biobehavioral Reviews. [link].

Ganger, Sebastian & Hahn, Andreas & Kublbock, Martin & Kranz, Georg S & Spies, Marie & Vanicek, Thomas & Seiger, Rene & Sladky, Ronald & Windischberger, Christian & Kasper, Siegfried & others. (2015). "Comparison of continuously acquired resting state and extracted analogues from active tasks." Human brain mapping. [link].

Garrett, Douglas D & SamanezLarkin, Gregory R & MacDonald, Stuart WS & Lindenberger, Ulman & McIntosh, Anthony R & Grady, Cheryl L. (2013). "Moment-to-moment brain signal variability: A next frontier in human brain mapping?." Neuroscience and Biobehavioral Reviews. [link].

Hall, Dan & Huerta, Michael F & McAuliffe, Matthew J & Farber, Gregory K. (2012). "Sharing heterogeneous data: the national database for autism research." Neuroinformatics. [link].

Holschneider, Daniel P & Wang, Zhuo & Pang, Raina D. (2014). "Functional connectivity-based parcellation and connectome of cortical midline structures in the mouse: a perfusion autoradiography study." Frontiers in neuroinformatics. [link].

Hsu, AiLing & Chou, KunHsien & Chao, YiPing & Fan, HsinYa & Wu, Changwei W & Chen, JyhHorng. (2016). "Physiological Contribution in Spontaneous Oscillations: An Approximate Quality-Assurance Index for Resting-State fMRI Signals." PloS one. [link].

Huang, Lejian & Wang, Xue & Baliki, Marwan N & Wang, Lei & Apkarian, A Vania & Parrish, Todd B. (2012). "Reproducibility of structural, resting-state BOLD and DTI data between identical scanners." PLoS One. [link].

Huang, Shuai & Chaovalitwongse, W Art. (2015). Computational Optimization and Statistical Methods for Big Data Analytics: Applications in Neuroimaging. [link].

Insel, TR & Voon, V & Nye, JS & Brown, Verity Joy & Altevogt, BM & Bullmore, ET & Goodwin, GM & Howard, RJ & Kupfer, DJ & Malloch, G & others. (2013). "Innovative solutions to novel drug development in mental health." Neuroscience and Biobehavioral Reviews. [link].

James, G Andrew & Tripathi, Shanti Prakash & Kilts, Clinton D. (2014). "Estimating brain network activity through back-projection of ICA components to GLM maps." Neuroscience letters. [link].

Jbabdi, Saad & JohansenBerg, Heidi. (2011). "Tractography: where do we go from here?." Brain connectivity. [link].

Jiang, Tianzi. (2013). "Brainnetome: a new-ome to understand the brain and its disorders." Neuroimage. [link].

Jovicich, Jorge & Minati, Ludovico & Marizzoni, Moira & Marchitelli, Rocco & SalaLlonch, Roser & BartresFaz, David & Arnold, Jennifer & Benninghoff, Jens & Fiedler, Ute & Roccatagliata, Luca & others. (2016). "Longitudinal reproducibility of default-mode network connectivity in healthy elderly participants: A multicentric resting-state fMRI study." Neuroimage. [link].

Kalinichenko, Leonid Andreevich & Kovalev, Dmitrii Yu & Kovaleva, Dana Aleksandrovna & Malkov, Oleg Yurevich. (2015). "Methods and tools for hypothesis-driven research support: A survey." Информатика и её применения. [link].

Kim, Eun Young & Johnson, Hans J. (2013). "Robust multi-site MR data processing: iterative optimization of bias correction, tissue classification, and registration." Frontiers in neuroinformatics. [link].

Landman, Bennett A & Huang, Alan J & Gifford, Aliya & Vikram, Deepti S & Lim, Issel Anne L & Farrell, Jonathan AD & Bogovic, John A & Hua, Jun & Chen, Min & Jarso, Samson & others. (2011). "Multi-parametric neuroimaging reproducibility: a 3-T resource study." Neuroimage. [link].

Li, Sun & Qingjiu, Cao & Xiangyn, L & others. (2009). Abnormal functional connectivity between anterior cingulate and the default-mode network in drug-naïve boys with attention deficit hyperactivity disorder. [link].

Loth, Eva & Carvalho, Fabiana & Schumann, Gunter. (2011). "The contribution of imaging genetics to the development of predictive markers for addictions." Trends in Cognitive Sciences. [link].

Martins, Nuno RB & Erlhagen, Wolfram & Freitas Jr, Robert A. (2016). "Human Connectome Mapping and Monitoring Using Neuronanorobots." Journal of Evolution and Technology. [link].

Nair, Veena A & Young, Brittany M & La, Christian & Reiter, Peter & Nadkarni, Tanvi N & Song, Jie & Vergun, Svyatoslav & Addepally, Naga Saranya & Mylavarapu, Krishna & Swartz, Jennifer L & others. (2015). "Functional connectivity changes in the language network during stroke recovery." Annals of clinical and translational neurology. [link].

Nosek, Brian A & Spies, Jeffrey R & Motyl, Matt. (2012). "Scientific utopia: II. Restructuring incentives and practices to promote truth over publishability." Perspectives on Psychological Science. [link].

Nymberg, Charlotte & Jia, Tianye & Ruggeri, Barbara & Schumann, Gunter. (2013). "Analytical strategies for large imaging genetic datasets: experiences from the IMAGEN study." Annals of the New York Academy of Sciences. [link].

Onoda, Keiichi & Ishihara, Masaki & Yamaguchi, Shuhei. (2012). "Decreased functional connectivity by aging is associated with cognitive decline." Journal of cognitive neuroscience. [link].

Pantazatos, Spiro P. (2014). "Prediction of individual season of birth using MRI." NeuroImage. [link].

Pastrana, Erika. (2010). "Collective brain maps." Nature Methods. [link].

Patel, Meenal J & Khalaf, Alexander & Aizenstein, Howard J. (2016). "Studying depression using imaging and machine learning methods." NeuroImage: Clinical. [link].

Peled, Abraham. (2013). "Brain “Globalopathies” cause mental disorders." Medical hypotheses. [link].

Poldrack, Russell A. (2012). "The future of fMRI in cognitive neuroscience." Neuroimage. [link].

Poldrack, Russell A & Baker, Chris I & Durnez, Joke & Gorgolewski, Krzysztof J & Matthews, Paul M & Munafo, Marcus R & Nichols, Thomas E & Poline, JeanBaptiste & Vul, Edward & Yarkoni, Tal. (2017). "Scanning the horizon: towards transparent and reproducible neuroimaging research." Nature Reviews Neuroscience. [link].

Press, RTI. (2012). Functional Magnetic Resonance Imaging (fMRI): An Invaluable Tool in Translational Neuroscience. [link].

Proal, Erika & AlvarezSegura, Mar & de la IglesiaVaya, Maria & MartiBonmati, Luis & Castellanos, F Xavier. (2011). "Actividad funcional cerebral en estado de reposo: redes en conexión." Revista de neurologia. [link].

Proal, Erika & AlvarezSegura, Mar & de la IglesiaVaya, Maria & MartiBonmati, Luis & Castellanos, FX. (2011). "Functional cerebral activity in a state of rest: connectivity networks." Revista de neurologia. [link].

Saggar, Manish & Tsalikian, Eva & Mauras, Nelly & Mazaika, Paul & White, Neil H & Weinzimer, Stuart & Buckingham, Bruce & Hershey, Tamara & Reiss, Allan L & Diabetes Research in Children Network & others. (2016). "Compensatory Hyper-Connectivity in Developing Brains of Young Children with Type 1 Diabetes." Diabetes. [link].

Santangelo, Susan L & Jagaroo, Vinoth. (2016). Conclusion: Implications for Psychiatry and Neuropsychology. [link].

Schirner, Michael & Rothmeier, Simon & Jirsa, Viktor K & McIntosh, Anthony Randal & Ritter, Petra. (2015). "An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data." Neuroimage. [link].

Schultz, Aaron P & Chhatwal, Jasmeer P & Huijbers, Willem & Hedden, Trey & Van Dijk, Koene RA & McLaren, Donald G & Ward, Andrew M & Wigman, Sarah & Sperling, Reisa A. (2014). "Template based rotation: a method for functional connectivity analysis with a priori templates." Neuroimage. [link].

Sepulcre, Jorge & Sabuncu, Mert R & Johnson, Keith A. (2012). "Network assemblies in the functional brain." Current opinion in neurology. [link].

Shatil, Anwar S & Younas, Sohail & Pourreza, Hossein & Figley, Chase R. (2015). "Heads in the cloud: a primer on neuroimaging applications of high performance computing." Magnetic resonance insights. [link].

Shura, Robert D & Hurley, Robin A & Taber, Katherine H. (2014). "Insular cortex: structural and functional neuroanatomy." The Journal of neuropsychiatry and clinical neurosciences. [link].

Simpson, Sean L & Bowman, F DuBois & Laurienti, Paul J. (2013). "Analyzing complex functional brain networks: fusing statistics and network science to understand the brain." Statistics surveys. [link].

Singer, Tania. (2012). "The past, present and future of social neuroscience: a European perspective." Neuroimage. [link].

Smith, Stephen M. (2012). "The future of FMRI connectivity." Neuroimage. [link].

Sotiropoulos, Stamatios N & Jbabdi, Saad & Xu, Junqian & Andersson, Jesper L & Moeller, Steen & Auerbach, Edward J & Glasser, Matthew F & Hernandez, Moises & Sapiro, Guillermo & Jenkinson, Mark & others. (2013). "Advances in diffusion MRI acquisition and processing in the Human Connectome Project." Neuroimage. [link].

Sporns, Olaf. (2012). "From simple graphs to the connectome: networks in neuroimaging." Neuroimage. [link].

Tailby, Chris & Masterton, Richard AJ & Huang, Jenny Y & Jackson, Graeme D & Abbott, David F. (2015). "Resting state functional connectivity changes induced by prior brain state are not network specific." NeuroImage. [link].

Teipel, Stefan J & Wohlert, Alexandra & Metzger, Coraline & Grimmer, Timo & Sorg, Christian & Ewers, Michael & Meisenzahl, Eva & Kloppel, Stefan & Borchardt, Viola & Grothe, Michel J & others. (2017). "Multicenter stability of resting state fMRI in the detection of Alzheimer's disease and amnestic MCI." NeuroImage: Clinical. [link].

Termenon, Maite & Jaillard, Assia & DelonMartin, Chantal & Achard, Sophie. (2016). "Reliability of graph analysis of resting state fMRI using test-retest dataset from the Human Connectome Project." NeuroImage. [link].

Tomasi, Dardo & ShokriKojori, Ehsan & Volkow, Nora D. (2015). "High-resolution functional connectivity density: hub locations, sensitivity, specificity, reproducibility, and reliability." Cerebral Cortex. [link].

Tseng, YuSheng & Huang, TengYi & Tsai, ShangYueh. (2015). "Reducing signal loss of the parahippocampal gyrus improves imaging of the default‐mode network in 3.0‐T MRI: the effect of susceptibility‐induced field gradients." NMR in Biomedicine. [link].

Turner, Jessica A & Laird, Angela R. (2012). "The cognitive paradigm ontology: design and application." Neuroinformatics. [link].

Tustison, Nicholas James & Johnson, Hans J & Rohlfing, Torsten & Klein, Arno & Ghosh, Satrajit S & Ibanez, Luis & Avants, Brian. (2013). "Instrumentation bias in the use and evaluation of scientific software: recommendations for reproducible practices in the computational sciences." Frontiers in neuroscience. [link].

Van Horn, John Darrell & Gazzaniga, Michael S. (2013). "Why share data? Lessons learned from the fMRIDC." Neuroimage. [link].

Van Horn, John Darrell & Toga, Arthur W. (2014). "Human neuroimaging as a “Big Data” science." Brain imaging and behavior. [link].

Visscher, Kristina M & Weissman, Daniel H. (2011). "Would the field of cognitive neuroscience be advanced by sharing functional MRI data?." BMC medicine. [link].

Volkow, Nora D. (2013). "Impact of fetal drug exposures on the adolescent brain." JAMA pediatrics. [link].

Waheed, Syed Hamza & Mirbagheri, Saeedeh & Agarwal, Shruti & Kamali, Arash & YahyaviFirouzAbadi, Noushin & Chaudhry, Ammar & DiGianvittorio, Michael & Gujar, Sachin K & Pillai, Jay J & Sair, Haris I. (2016). "Reporting of Resting-State Functional Magnetic Resonance Imaging Preprocessing Methodologies." Brain Connectivity. [link].

Wang, Jinhui & Zuo, Xinian & He, Yong. (2010). "Graph-based network analysis of resting-state functional MRI." Frontiers in systems neuroscience. [link].

Xia, Mingrui & He, Yong. (2011). "Magnetic resonance imaging and graph theoretical analysis of complex brain networks in neuropsychiatric disorders." Brain connectivity. [link].

Yarkoni, Tal & Poldrack, Russell A & Van Essen, David C & Wager, Tor D. (2010). "Cognitive neuroscience 2.0: building a cumulative science of human brain function." Trends in cognitive sciences. [link].

Zhan, Liang & Mueller, Bryon A & Jahanshad, Neda & Jin, Yan & Lenglet, Christophe & Yacoub, Essa & Sapiro, Guillermo & Ugurbil, Kamil & Harel, Noam & Toga, Arthur W & others. (2013). "Magnetic resonance field strength effects on diffusion measures and brain connectivity networks." Brain connectivity. [link].

胡传鹏 & 邸新 & 李佳蔚 & 隋洁 & 彭凯平. (2015). "神经成像数据的元分析." 心理科学进展. [link].

Articles in conference proceedings that used 1,000 Functional Connectomes data

Biswal, Bharat B. & Mennes, Maarten & Zuo, Xi-Nian & Gohel, Suril & Kelly, Clare & Smith, Steve M. & Beckmann, Christian F. & Adelstein, Jonathan S. & Buckner, R & Colcombe, Stan & Dogonowski, Anne-Marie & Ernst, Monique & Fair, Damien & Hampson, Michelle & Hoptman, Matthew J. & Hyde, James S. & Kiviniemi, Vesa J. & Kötter, Rolf & Li, Shi-Jiang & Lin, Ching-Po & Lowe, Mark J. & Mackay, Clare & Madden, David J. & Madsen, Kristoffer H. & Margulies, Daniel S. & Mayberg, Helen S. & McMahon, Katie & Monk, Christopher S. & Mostofsky, Stewart H. & Nagel, Bonnie J. & Pekar, James J. & Peltier, Scott J. & Petersen, Steven E. & Riedl, Valentin & Rombouts, Serge A. R. B. & Rypma, Bart & Schlaggar, Bradley L. & Schmidt, Sein & Seidler, Rachael D. & Siegle, Greg J. & Sorg, Christian & Teng, Gao-Jun & Veijola, Juha & Villringer, Arno & Walter, Martin & Wang, Lihong & Weng, Xu-Chu & Whitfield-Gabrieli, Susan & Williamson, Peter & Windischberger, Christian & Zang, Yu-Feng & Zhang, Hong-Ying & Castellanos, F. Xavier & Milham, Michael P. (2010). "Toward discovery science of human brain function." Proc. Natl. Acad. Sci. [link].

Bottger, Joachim & Schafer, Alexander & Lohmann, Gabriele & Villringer, Arno & Margulies, Daniel S. (2014). "Three-dimensional mean-shift edge bundling for the visualization of functional connectivity in the brain." IEEE transactions on visualization and computer graphics. [link].

Cai, Zhihui & Zhai, Jian. (2011). Resting-state functional networks with ICA and Granger causality. [link].

Chang, YuTeng & Pantazis, Dimitrios. (2013). Multi-view network module detection. [link].

Cheng, Hewei & Song, Dandan & Wu, Hong & Fan, Yong. (2012). Intrinsic functional connectivity pattern based brain parcellation using normalized cut. [link].

Eklund, Anders & Nichols, Thomas E & Knutsson, Hans. (2016). "Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates." Proc. Natl. Acad. Sci. [link].

GeethaRamani, R & Sivaselvi, K. (2014). Human brain hubs (provincial and connector) identification using centrality measures. [link].

Guaje, Javier & Molina, Juan & Rudas, Jorge & Demertzi, Athena & Heine, Lizette & Tshibanda, Luaba & Soddu, Andrea & Laureys, Steven & Gomez, Francisco. (2015). Automatic identification of resting state networks: an extended version of multiple template-matching. [link].

He, Lianghua & Ji, Hongfei & Wan, Meng & Liu, Shuang. (2012). Low frequency analysis of resting-state fMRI. [link].

Huang, Wentao & Feng, Youceng. (2011). Small-world properties of human brain functional networks based on resting-state functional MRI. [link].

Jiang, Di & Jiang, Tianzi & Fan, Yong. (2012). Groupwise fMRI registration using multi-range functional connectivity patterns. [link].

Jo, H & Saad, ZS & Gotts, SJ & Reynolds, RC & Christidis, P & Glen, DR & Martin, A & Cox, RW. (2011). Symmetry of Resting-State Functional Connectivity in FMRI: High Correlation Across Hemispheres Exists with or without Callosal Connection. [link].

Joel, Daphna & Berman, Zohar & Tavor, Ido & Wexler, Nadav & Gaber, Olga & Stein, Yaniv & Shefi, Nisan & Pool, Jared & Urchs, Sebastian & Margulies, Daniel S & others. (2015). "Sex beyond the genitalia: The human brain mosaic." Proc. Natl. Acad. Sci. [link].

Kaiming, LI & Hu, Xiaoping. (20). Extracting Connectomic Profiles from Group Resting State fMRI Data using Dictionary Learning. [link].

Keller, Corey J & Bickel, Stephan & Entz, Laszlo & Ulbert, Istvan & Milham, Michael P & Kelly, Clare & Mehta, Ashesh D. (2011). "Intrinsic functional architecture predicts electrically evoked responses in the human brain." Proc. Natl. Acad. Sci. [link].

Kim, Junghoe & Lee, JongHwan. (2014). Effects of non-neuronal components for functional connectivity analysis from resting-state functional MRI toward automated diagnosis of schizophrenia. [link].

Li, Hongming & Fan, Yong. (2014). Hierarchical organization of the functional brain identified using floating aggregation of functional signals. [link].

Li, Hongming & Fan, Yong. (2014). Spatial alignment of human cortex by matching hierarchical patterns of functional connectivity. [link].

Liu, Xiao & Duyn, Jeff H. (2013). "Time-varying functional network information extracted from brief instances of spontaneous brain activity." Proc. Natl. Acad. Sci. [link].

LivnyEzer, Abigail & Weiser, Mark & Kushnir, Tammar & Harnof, Sagi & Tomasi, Dardo & Hoffman, Chen & Biegon, Anat. (20). EFFECT OF INJURY SEVERITY ON BRAIN ACTIVATIONS AND FUNCTIONAL CONNECTIVITY DENSITY MAPPING IN SURVIVORS OF TRAUMATIC BRAIN …. [link].

Meszlenyi, Regina & Peska, Ladislav & Gal, Viktor & Vidnyanszky, Zoltan & Buza, Krisztian. (2016). Classification of fMRI data using Dynamic Time Warping based functional connectivity analysis. [link].

Misra, Atreya & Yuan, Rui & Gohel, Suril & Biswal, Bharat. (2014). Using MRI from 1000 subjects to identify abnormal grey matter in individual tumor subjects. [link].

Onofrey, John A & Papademetris, Xenophon & Staib, Lawrence H. (2015). "Low-dimensional non-rigid image registration using statistical deformation models from semi-supervised training data." IEEE transactions on medical imaging. [link].

Ren, Shaogang & Huang, Shuai & Onofrey, John A & Papademetris, Xenios & Qian, Xiaoning. (2015). A Scalable Algorithm for Structured Kernel Feature Selection. [link].

Tomasi, Dardo & Volkow, Nora D. (2010). "Functional connectivity density mapping." Proc. Natl. Acad. Sci. [link].

Wang, Hui & Lu, Zuhong. (2011). Evaluating the strength of functional connectivity during the resting state. [link].

Wang, Miao & Li, Yapeng & Chen, Xi & Li, Wei. (2016). The study on dynamics of functional brain network: Based on symbolic dynamics. [link].

Wang, Wei & Hu, Bin & Yao, Zhijun & Jackson, Mike & Liu, Ruiyue & Liang, Chuanjiang. (2013). Dysfunctional neural activity and connection patterns in attention deficit hyperactivity disorder: A resting state fMRI study. [link].

Watanabe, Takanori & Scott, Clayton D & Kessler, Daniel & Angstadt, Michael & Sripada, ChandraS. (2014). Scalable fused Lasso SVM for connectome-based disease prediction. [link].

Xie, H & Pal, R & Mitra, S. (2016). A descriptive model of resting-state networks using Markov chains. [link].

Yang, Genevieve J & Murray, John D & Wang, XiaoJing & Glahn, David C & Pearlson, Godfrey D & Repovs, Grega & Krystal, John H & Anticevic, Alan. (2016). "Functional hierarchy underlies preferential connectivity disturbances in schizophrenia." Proc. Natl. Acad. Sci. [link].

Yuan, Lin & Chen, Fanglin & Zeng, LingLi & Wang, Lubin & Hu, Dewen. (2015). "Gender Identification of Human Brain Image with A Novel 3D Descriptor." IEEE/ACM Transactions on Computational Biology and Bioinformatics. [link].

Zhang, Wenbo & Wang, Ziyi & Dou, Weibei & Wang, Xue & Lu, Min & Zhang, Mingyu & Chen, Hongyan & Li, Shaowu & Dai, Jianping. (2014). Dynamic features extraction method of resting-state BOLD-fMRI signal and its application to brain data classification between normal and glioma. [link].

Articles in conference proceedings that used ABIDE data

Abrams, Daniel A & Lynch, Charles J & Cheng, Katherine M & Phillips, Jennifer & Supekar, Kaustubh & Ryali, Srikanth & Uddin, Lucina Q & Menon, Vinod. (2013). "Underconnectivity between voice-selective cortex and reward circuitry in children with autism." Proc. Natl. Acad. Sci. [link].

Auzias, Guillaume & Breuil, Camille & Takerkart, Sylvain & Deruelle, Christine. (2014). Detectability of brain structure abnormalities related to autism through MRI-derived measures from multiple scanners. [link].

Auzias, Guillaume & Takerkart, Sylvain & Deruelle, Christine. (2016). "On the Influence of Confounding Factors in Multisite Brain Morphometry Studies of Developmental Pathologies: Application to Autism Spectrum Disorder." IEEE journal of biomedical and health informatics. [link].

Castrillon, J Gabriel & Ahmadi, Ahmad & Navab, Nassir & Richiardi, Jonas. (2014). Learning with multi-site fMRI graph data. [link].

Chu, Congying & Jiang, Tianzi. (2016). Identifying the latent active patterns underlying the dynamic organization of human brain using resting-state fMRI. [link].

Fredo, AR Jac & Kavitha, G & Ramakrishnan, S. (2014). Analysis of sub-cortical regions in cognitive processing using fuzzy c-means clustering and geometrical measure in autistic MR images. [link].

Ismail, Marwa & Soliman, Ahmed & ElTanboly, A & Switala, A & Mahmoud, M & Khalifa, Fahmi & Gimelfarb, G & Casanova, Manuel F & Keynton, R & ElBaz, Ayman. (2016). Detection of white matter abnormalities in mr brain images for diagnosis of autism in children. [link].

Katuwal, Gajendra J & Cahill, Nathan D & Baum, Stefi A & Michael, Andrew M. (2015). The predictive power of structural MRI in Autism diagnosis. [link].

Leroy, Franccois & Cai, Qing & Bogart, Stephanie L & Dubois, Jessica & Coulon, Olivier & Monzalvo, Karla & Fischer, Clara & Glasel, Herve & Van der Haegen, Lise & Benezit, Audrey & others. (2015). "New human-specific brain landmark: the depth asymmetry of superior temporal sulcus." Proc. Natl. Acad. Sci. [link].

Mahanand, BS & Vigneshwaran, S & Suresh, S & Sundararajan, N. (2016). An enhanced effect-size thresholding method for the diagnosis of Autism Spectrum Disorder using resting state functional MRI. [link].

Ren, Yudan & Hu, Xintao & Lv, Jinglei & Quo, Lei & Han, Junwei & Liu, Tianming. (2016). Identifying autism biomarkers in default mode network using sparse representation of resting-state fMRI data. [link].

Sabuncu, Mert R & Ge, Tian & Holmes, Avram J & Smoller, Jordan W & Buckner, Randy L & Fischl, Bruce & Weiner, Michael W & Aisen, Paul & Weiner, Michael & Petersen, Ronald & others. (2016). "Morphometricity as a measure of the neuroanatomical signature of a trait." Proc. Natl. Acad. Sci. [link].

Sandhya, C & Vidhusha, S & Gayathri, RS & Kavitha, A & others. (2015). Assessment of functional connectivity in autistic brain fMRI. [link].

Sargolzaei, S & Eddin, A Salah & Cabrerizo, M & Adjouadi, M. (2013). Resting state functional connectivity based on principal component transformation of cortical fMRI measurements. [link].

Sariya, Yogesh Kumar & Anand, RS. (2016). Assessment of social and cognitive dysfunction of autism spectrum disorder through functional network connectivity. [link].

Sato, Joao Ricardo & Vidal, Maciel & de Siqueira Santos, Suzana & Massirer, Katlin Brauer & Fujita, Andre. (2015). "Complex network measures in Autism Spectrum Disorders." IEEE/ACM transactions on computational biology and bioinformatics. [link].

Sripada, Chandra S & Kessler, Daniel & Angstadt, Mike. (2014). "Lag in maturation of the brain's intrinsic functional architecture in attention-deficit/hyperactivity disorder." Proc. Natl. Acad. Sci. [link].

Vidhusha, S & Anandhan, Kavitha. (2015). Analysis and evaluation of autistic brain MR images using Learning Vector Quantization and Support Vector Machines. [link].

Vigneshwaran, S & Mahanand, BS & Suresh, Sundaram & Savitha, Ramaswamy. (2013). Autism spectrum disorder detection using projection based learning meta-cognitive RBF network. [link].

Vigneshwaran, S & Mahanand, BS & Suresh, Sundaram & Sundararajan, Narasimhan. (2015). Using regional homogeneity from functional MRI for diagnosis of ASD among males. [link].

Vigneshwaran, S & Suresh, Sundaram & Mahanand, BS & Sundararajan, N. (2015). ASD detection in males using MRI-an age-group based study. [link].

Wang, Yilun & Zhang, Sheng & Zheng, Junjie & Chen, Heng & Chen, Huafu. (2015). "Randomized structural sparsity-based support identification with applications to locating activated or discriminative brain areas: a multicenter reproducibility study." IEEE Transactions on Autonomous Mental Development. [link].

Zhang, Mingli & Kumar, Kuldeep & Desrosiers, Christian. (2016). A weighted total variation approach for the atlas-based reconstruction of brain MR data. [link].

Zhao, Yize & Kang, Jian & Long, Qi. (2015). "Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data." IEEE/ACM Transactions on Computational Biology and Bioinformatics. [link].

Articles in conference proceedings that used ADHD-200 data

Bhattacharya, Rabi & Lin, Lizhen. (2017). "Omnibus CLTs for Fréchet means and nonparametric inference on non-Euclidean spaces." Proceedings of the American Mathematical Society. [link].

Cao, Lijun & Liu, Zhi & He, Xiaofu & Cao, Yankun & Li, Kening. (2016). Mental Disease Feature Extraction with MRI by 3D Convolutional Neural Network with Multi-channel Input. [link].

Castrillon, J Gabriel & Ahmadi, Ahmad & Navab, Nassir & Richiardi, Jonas. (2014). Learning with multi-site fMRI graph data. [link].

Deshpande, Gopikrishna & Wang, Peng & Rangaprakash, D & Wilamowski, Bogdan. (2015). "Fully connected cascade artificial neural network architecture for attention deficit hyperactivity disorder classification from functional magnetic resonance imaging data." IEEE transactions on cybernetics. [link].

Elton, Amanda & Alcauter, Sarael & Gao, Wei. (20). Altered Dorsal Attention and Default Network Connectivity Associated with Dimensional Measures of Attention-Deficit/Hyperactivity Disorder. [link].

Fouque, AnneLaure & Fischer, Clara & Frouin, Vincent & Ciuciu, Philippe & Duchesnay, Edouard. (2013). Comparison of features for voxel-based analysis and classification of anatomical neuroimaging data. [link].

Ge, Fangfei & Lv, Jinglei & Hu, Xintao & Ge, Bao & Guo, Lei & Han, Junwei & Liu, Tianming. (2015). Deriving ADHD biomarkers with sparse coding based network analysis. [link].

Guo, Xiaojiao & He, Lianghua. (2014). ADHD Discrimination Based on Social Network. [link].

Han, Fang & Liu, Han. (2014). "High dimensional semiparametric scale-invariant principal component analysis." IEEE Trans. Pattern Anal. Mach. Intell. [link].

Hao, A Junyu & He, B Lianghua & Yin, C Hongyi. (2015). Discrimination of ADHD children based on Deep Bayesian Network. [link].

Kuang, Deping & He, Lianghua. (2014). Classification on ADHD with Deep Learning. [link].

Li, Weiwei & Mei, Xue & Wang, Hao & Zhou, Yu & Huang, Jiashuang. (2017). Link Prediction Boosted Psychiatry Disorder Classification for Functional Connectivity Network. [link].

Liang, ShengFu & Hsieh, TsungHao & Chen, PinTzu & Wu, MingLong & Kung, ChunChia & Lin, ChunYu & Shaw, FuZen. (2012). Differentiation between resting-state fMRI data from ADHD and normal subjects: Based on functional connectivity and machine learning. [link].

Park, Boyong & Kim, Jonghoon & Park, Hyunjin. (2016). Differences in connectivity patterns between child and adolescent attention deficit hyperactivity disorder patients. [link].

Qureshi, Muhammad Naveed Iqbal & Lee, Boreom. (2016). Classification of ADHD subgroup with recursive feature elimination for structural brain MRI. [link].

Rangarajan, B & Subramaian, K & Suresh, S. (2015). Importance of phenotypic information in ADHD diagnosis. [link].

Rangarajan, Badrinarayanan & Suresh, Sundaram & Mahanand, BS. (2014). Identification of potential biomarkers in the hippocampus region for the diagnosis of ADHD using PBL-McRBFN approach. [link].

Sabuncu, Mert R & Ge, Tian & Holmes, Avram J & Smoller, Jordan W & Buckner, Randy L & Fischl, Bruce & Weiner, Michael W & Aisen, Paul & Weiner, Michael & Petersen, Ronald & others. (2016). "Morphometricity as a measure of the neuroanatomical signature of a trait." Proc. Natl. Acad. Sci. [link].

Sachnev, Vasily. (2015). An efficient classification scheme for ADHD problem based on Binary Coded Genetic Algorithm and McFIS. [link].

She, Yiyuan & He, Yuejia & Wu, Dapeng. (2014). "Learning topology and dynamics of large recurrent neural networks." IEEE Transactions on Signal Processing. [link].

Solmaz, Berkan & Dey, Soumyabrata & Rao, A Ravishankar & Shah, Mubarak. (2012). ADHD classification using bag of words approach on network features. [link].

Sripada, Chandra S & Kessler, Daniel & Angstadt, Mike. (2014). "Lag in maturation of the brain's intrinsic functional architecture in attention-deficit/hyperactivity disorder." Proc. Natl. Acad. Sci. [link].

Tabas, Alejandro & BalaguerBallester, Emili & Igual, Laura. (2014). Spatial discriminant ICA for RS-fMRI characterisation. [link].

Tang, Yunfan & Welsch, Roy E. (2013). Measuring the Distance Between Images and Image Uncertainty Using Wavelet Decompositions and the Earth Mover's Distance. [link].

Articles in conference proceedings that used NKI-Rockland data

Billings, Jacob C & Medda, Alessio & Keilholz, Shella D. (2015). Multiscale FC analysis refines functional connectivity networks in individual brains. [link].

Billings, Jacob CW & Medda, Alessio & Keilholz, Shella D. (2013). Agglomerative clustering for resting state MRI. [link].

File, Balint & Klimaj, Zoltan & Somogyvari, Zoltan & Kozak, Lajos R & Gyebnar, Gyula & Toth, Brigitta & Kardos, Zsofia & Ulbert, Istvan & Molnar, Mark. (2016). Age-related changes of the representative modular structure in the brain. [link].

Fu, Zening & Chan, ShingChow & Di, Xin & Biswal, Bharat & Zhang, Zhiguo. (2014). "Adaptive covariance estimation of non-stationary processes and its application to infer dynamic connectivity from fMRI." IEEE transactions on biomedical circuits and systems. [link].

Han, Cheol E & Peraza, Luis R & Taylor, JohnPaul & Kaiser, Marcus. (2014). Predicting age across human lifespan based on structural connectivity from diffusion tensor imaging. [link].

Medda, Alessio & Billings, Jacob C & Keilholz, Shella D. (2014). Multiscale functional networks in human resting state functional MRI. [link].

Roncal, William Gray & Koterba, Zachary H & Mhembere, Disa & Kleissas, Dean M & Vogelstein, Joshua T & Burns, Randal & Bowles, Anita R & Donavos, Dimitrios K & Ryman, Sephira & Jung, Rex E & others. (2013). MIGRAINE: MRI graph reliability analysis and inference for connectomics. [link].

Tarquino, Jonathan & Rueda, Andrea & Romero, Eduardo. (2014). A multiscale/sparse representation for Diffusion Weighted Imaging (DWI) super-resolution. [link].

Tarquino, Jonathan & Rueda, Andrea & Romero, Eduardo. (2014). Shearlet-based sparse representation for super-resolution in diffusion weighted imaging (DWI). [link].

Wang, Xunheng & Li, Lihua. (2016). Predicting human age using regional morphometry and inter-regional morphological similarity. [link].

Wang, Yujiang & Necus, Joe & Kaiser, Marcus & Mota, Bruno. (2016). "Universality in human cortical folding in health and disease." Proc. Natl. Acad. Sci. [link].

Wong, Jingjun & Zhang, Zhiguo. (2015). Exploratory analysis of time-varying functional connectivity in a visual task. [link].

Zhang, L & Fu, ZN & Chan, SC & Wu, HC & Zhang, ZG. (2016). A new L1-regularized time-varying autoregressive model for brain connectivity estimation: A study using visual task-related fMRI data. [link].

Articles in conference proceedings that used CORR data

Xu, Nan & Spreng, R Nathan & Doerschuk, Peter C. (2014). Directed interactivity of large-scale brain networks: Introducing a new method for estimating resting-state effective connectivity MRI. [link].

Articles in conference proceedings that used unspecified data

Almeida, Javier & Velasco, Nelson & Romero, Eduardo. (2017). A Multidimensional Feature Space for Automatic Classification of Autism Spectrum Disorders (ASD). [link].

Rajagopal, Gautham & Joshi, Anand A & Leahy, Richard M. (2017). An Algorithm for Automatic Parameter Adjustment for Brain Extraction in BrainSuite. [link].

Articles in conference proceedings that used 1,000 Functional Connectomes data

Biswal, Bharat B. & Mennes, Maarten & Zuo, Xi-Nian & Gohel, Suril & Kelly, Clare & Smith, Steve M. & Beckmann, Christian F. & Adelstein, Jonathan S. & Buckner, R & Colcombe, Stan & Dogonowski, Anne-Marie & Ernst, Monique & Fair, Damien & Hampson, Michelle & Hoptman, Matthew J. & Hyde, James S. & Kiviniemi, Vesa J. & Kötter, Rolf & Li, Shi-Jiang & Lin, Ching-Po & Lowe, Mark J. & Mackay, Clare & Madden, David J. & Madsen, Kristoffer H. & Margulies, Daniel S. & Mayberg, Helen S. & McMahon, Katie & Monk, Christopher S. & Mostofsky, Stewart H. & Nagel, Bonnie J. & Pekar, James J. & Peltier, Scott J. & Petersen, Steven E. & Riedl, Valentin & Rombouts, Serge A. R. B. & Rypma, Bart & Schlaggar, Bradley L. & Schmidt, Sein & Seidler, Rachael D. & Siegle, Greg J. & Sorg, Christian & Teng, Gao-Jun & Veijola, Juha & Villringer, Arno & Walter, Martin & Wang, Lihong & Weng, Xu-Chu & Whitfield-Gabrieli, Susan & Williamson, Peter & Windischberger, Christian & Zang, Yu-Feng & Zhang, Hong-Ying & Castellanos, F. Xavier & Milham, Michael P. (2010). "Toward discovery science of human brain function." Proc. Natl. Acad. Sci. [link].

Bottger, Joachim & Schafer, Alexander & Lohmann, Gabriele & Villringer, Arno & Margulies, Daniel S. (2014). "Three-dimensional mean-shift edge bundling for the visualization of functional connectivity in the brain." IEEE transactions on visualization and computer graphics. [link].

Cai, Zhihui & Zhai, Jian. (2011). Resting-state functional networks with ICA and Granger causality. [link].

Chang, YuTeng & Pantazis, Dimitrios. (2013). Multi-view network module detection. [link].

Cheng, Hewei & Song, Dandan & Wu, Hong & Fan, Yong. (2012). Intrinsic functional connectivity pattern based brain parcellation using normalized cut. [link].

Eklund, Anders & Nichols, Thomas E & Knutsson, Hans. (2016). "Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates." Proc. Natl. Acad. Sci. [link].

GeethaRamani, R & Sivaselvi, K. (2014). Human brain hubs (provincial and connector) identification using centrality measures. [link].

Guaje, Javier & Molina, Juan & Rudas, Jorge & Demertzi, Athena & Heine, Lizette & Tshibanda, Luaba & Soddu, Andrea & Laureys, Steven & Gomez, Francisco. (2015). Automatic identification of resting state networks: an extended version of multiple template-matching. [link].

He, Lianghua & Ji, Hongfei & Wan, Meng & Liu, Shuang. (2012). Low frequency analysis of resting-state fMRI. [link].

Huang, Wentao & Feng, Youceng. (2011). Small-world properties of human brain functional networks based on resting-state functional MRI. [link].

Jiang, Di & Jiang, Tianzi & Fan, Yong. (2012). Groupwise fMRI registration using multi-range functional connectivity patterns. [link].

Jo, H & Saad, ZS & Gotts, SJ & Reynolds, RC & Christidis, P & Glen, DR & Martin, A & Cox, RW. (2011). Symmetry of Resting-State Functional Connectivity in FMRI: High Correlation Across Hemispheres Exists with or without Callosal Connection. [link].

Joel, Daphna & Berman, Zohar & Tavor, Ido & Wexler, Nadav & Gaber, Olga & Stein, Yaniv & Shefi, Nisan & Pool, Jared & Urchs, Sebastian & Margulies, Daniel S & others. (2015). "Sex beyond the genitalia: The human brain mosaic." Proc. Natl. Acad. Sci. [link].

Kaiming, LI & Hu, Xiaoping. (20). Extracting Connectomic Profiles from Group Resting State fMRI Data using Dictionary Learning. [link].

Keller, Corey J & Bickel, Stephan & Entz, Laszlo & Ulbert, Istvan & Milham, Michael P & Kelly, Clare & Mehta, Ashesh D. (2011). "Intrinsic functional architecture predicts electrically evoked responses in the human brain." Proc. Natl. Acad. Sci. [link].

Kim, Junghoe & Lee, JongHwan. (2014). Effects of non-neuronal components for functional connectivity analysis from resting-state functional MRI toward automated diagnosis of schizophrenia. [link].

Li, Hongming & Fan, Yong. (2014). Hierarchical organization of the functional brain identified using floating aggregation of functional signals. [link].

Li, Hongming & Fan, Yong. (2014). Spatial alignment of human cortex by matching hierarchical patterns of functional connectivity. [link].

Liu, Xiao & Duyn, Jeff H. (2013). "Time-varying functional network information extracted from brief instances of spontaneous brain activity." Proc. Natl. Acad. Sci. [link].

LivnyEzer, Abigail & Weiser, Mark & Kushnir, Tammar & Harnof, Sagi & Tomasi, Dardo & Hoffman, Chen & Biegon, Anat. (20). EFFECT OF INJURY SEVERITY ON BRAIN ACTIVATIONS AND FUNCTIONAL CONNECTIVITY DENSITY MAPPING IN SURVIVORS OF TRAUMATIC BRAIN …. [link].

Meszlenyi, Regina & Peska, Ladislav & Gal, Viktor & Vidnyanszky, Zoltan & Buza, Krisztian. (2016). Classification of fMRI data using Dynamic Time Warping based functional connectivity analysis. [link].

Misra, Atreya & Yuan, Rui & Gohel, Suril & Biswal, Bharat. (2014). Using MRI from 1000 subjects to identify abnormal grey matter in individual tumor subjects. [link].

Onofrey, John A & Papademetris, Xenophon & Staib, Lawrence H. (2015). "Low-dimensional non-rigid image registration using statistical deformation models from semi-supervised training data." IEEE transactions on medical imaging. [link].

Ren, Shaogang & Huang, Shuai & Onofrey, John A & Papademetris, Xenios & Qian, Xiaoning. (2015). A Scalable Algorithm for Structured Kernel Feature Selection. [link].

Tomasi, Dardo & Volkow, Nora D. (2010). "Functional connectivity density mapping." Proc. Natl. Acad. Sci. [link].

Wang, Hui & Lu, Zuhong. (2011). Evaluating the strength of functional connectivity during the resting state. [link].

Wang, Miao & Li, Yapeng & Chen, Xi & Li, Wei. (2016). The study on dynamics of functional brain network: Based on symbolic dynamics. [link].

Wang, Wei & Hu, Bin & Yao, Zhijun & Jackson, Mike & Liu, Ruiyue & Liang, Chuanjiang. (2013). Dysfunctional neural activity and connection patterns in attention deficit hyperactivity disorder: A resting state fMRI study. [link].

Watanabe, Takanori & Scott, Clayton D & Kessler, Daniel & Angstadt, Michael & Sripada, ChandraS. (2014). Scalable fused Lasso SVM for connectome-based disease prediction. [link].

Xie, H & Pal, R & Mitra, S. (2016). A descriptive model of resting-state networks using Markov chains. [link].

Yang, Genevieve J & Murray, John D & Wang, XiaoJing & Glahn, David C & Pearlson, Godfrey D & Repovs, Grega & Krystal, John H & Anticevic, Alan. (2016). "Functional hierarchy underlies preferential connectivity disturbances in schizophrenia." Proc. Natl. Acad. Sci. [link].

Yuan, Lin & Chen, Fanglin & Zeng, LingLi & Wang, Lubin & Hu, Dewen. (2015). "Gender Identification of Human Brain Image with A Novel 3D Descriptor." IEEE/ACM Transactions on Computational Biology and Bioinformatics. [link].

Zhang, Wenbo & Wang, Ziyi & Dou, Weibei & Wang, Xue & Lu, Min & Zhang, Mingyu & Chen, Hongyan & Li, Shaowu & Dai, Jianping. (2014). Dynamic features extraction method of resting-state BOLD-fMRI signal and its application to brain data classification between normal and glioma. [link].

Articles in conference proceedings that used 1,000 Functional Connectomes scripts

Novotny, Edward J & Poliakov, Andrew & Poliachik, Sandra & Friedman, Seth & Shaw, Dennis & Ojemann, Jeffrey. (20). Functional connectivity analysis reveals disrupted interhemispheric connectivity in unilateral neocortical epilepsy. [link].

Vergun, Svyatoslav & Nair, Veena & Jensen, Matthew & Chacon, Marcus & Sattin, Justin & Prabhakaran, Vivek. (2013). Support Vector Machine Classification of Stroke Using Resting State Functional Connectivity. [link].

Yamada, Makiko & Uddin, Lucina Q & Takahashi, Hidehiko & Kimura, Yasuyuki & Takahata, Keisuke & Kousa, Ririko & Ikoma, Yoko & Eguchi, Yoko & Takano, Harumasa & Ito, Hiroshi & others. (2013). "Superiority illusion arises from resting-state brain networks modulated by dopamine." Proc. Natl. Acad. Sci. [link].

Articles in conference proceedings that used ABIDE scripts

Articles in conference proceedings that used ADHD-200 scripts

Articles in conference proceedings that used NKI-Rockland scripts

Articles in conference proceedings that used CORR scripts

Articles in conference proceedings that used unspecified scripts

Articles in conference proceedings that used 1,000 Functional Connectomes scripts

Novotny, Edward J & Poliakov, Andrew & Poliachik, Sandra & Friedman, Seth & Shaw, Dennis & Ojemann, Jeffrey. (20). Functional connectivity analysis reveals disrupted interhemispheric connectivity in unilateral neocortical epilepsy. [link].

Vergun, Svyatoslav & Nair, Veena & Jensen, Matthew & Chacon, Marcus & Sattin, Justin & Prabhakaran, Vivek. (2013). Support Vector Machine Classification of Stroke Using Resting State Functional Connectivity. [link].

Yamada, Makiko & Uddin, Lucina Q & Takahashi, Hidehiko & Kimura, Yasuyuki & Takahata, Keisuke & Kousa, Ririko & Ikoma, Yoko & Eguchi, Yoko & Takano, Harumasa & Ito, Hiroshi & others. (2013). "Superiority illusion arises from resting-state brain networks modulated by dopamine." Proc. Natl. Acad. Sci. [link].

Articles in conference proceedings that cited 1,000 Functional Connectomes data

Iyengar, Satish. (2016). "Case for fMRI data repositories." Proc. Natl. Acad. Sci. [link].

Onoda, Keiichi & Ishihara, Masaki & Yamaguchi, Shuhei. (2012). Aging effects on functional connectivity within and between resting-state networks. [link].

Smeets, Paul AM & Charbonnier, Lisette & van Meer, Floor & van der Laan, Laura N & Spetter, Maartje S. (2012). "Food-induced brain responses and eating behaviour." Proceedings of the Nutrition Society. [link].

Articles in conference proceedings that cited ABIDE data

Asgari, Meysam & Kiss, Geza & Van Santen, Jan & Shafran, Izhak & Song, Xubo. (2014). Automatic measurement of affective valence and arousal in speech. [link].

Koldewyn, Kami & Yendiki, Anastasia & Weigelt, Sarah & Gweon, Hyowon & Julian, Joshua & Richardson, Hilary & Malloy, Caitlin & Saxe, Rebecca & Fischl, Bruce & Kanwisher, Nancy. (2014). "Differences in the right inferior longitudinal fasciculus but no general disruption of white matter tracts in children with autism spectrum disorder." Proc. Natl. Acad. Sci. [link].

Articles in conference proceedings that cited ADHD-200 data

Hou, Ming & ChaibDraa, Brahim. (2015). Hierarchical tucker tensor regression: Application to brain imaging data analysis. [link].

Milham, Michael Peter. (20). "CONNECTIVITY IN PRACTICE: Syllabus." Neuroscience. [link].

Palpanas, Themis. (2016). Data series management: The next challenge. [link].

Rao, Anil & Monteiro, Joao M & Ashburner, John & Portugal, Liana & Fernandes, Orlando & De Oliveira, Leticia & Pereira, Mirtes & MouraoMiranda, Janaina. (2015). A Comparison of Strategies for Incorporating Nuisance Variables into Predictive Neuroimaging Models. [link].

Articles in conference proceedings that cited NKI-Rockland data

Articles in conference proceedings that cited CORR data

Articles in conference proceedings that cited unspecified data

Harrison, Marc B & Riedel, Brandalyn C & Prasad, Gautam & Jahanshad, Neda & Faskowitz, Joshua & Thompson, Paul M. (2017). Utilizing brain measures for large-scale classification of Autism applying EPIC. [link].

Articles in conference proceedings that cited 1,000 Functional Connectomes data

Iyengar, Satish. (2016). "Case for fMRI data repositories." Proc. Natl. Acad. Sci. [link].

Onoda, Keiichi & Ishihara, Masaki & Yamaguchi, Shuhei. (2012). Aging effects on functional connectivity within and between resting-state networks. [link].

Smeets, Paul AM & Charbonnier, Lisette & van Meer, Floor & van der Laan, Laura N & Spetter, Maartje S. (2012). "Food-induced brain responses and eating behaviour." Proceedings of the Nutrition Society. [link].

Theses and dissertations that used 1,000 Functional Connectomes data

Arsiwalla, Xerxes D & Zucca, Riccardo & Verschure, Paul. (2013). Applications To Human Brain Functional Networks. [link].

Aurich, Nathassia Kadletz & others. (2014). Confiabilidade em ressonância magnética funcional no estado de repouso em diferentes estratégias de pré-processamento. [link].

Brantefors, Per. (2016). Dynamic fMRI brain connectivity: A study of the brain's large-scale network dynamics. [link].

Cao, Wenchao. (2014). Identifying the Brain's most Locally Connected Regions. [link].

Choi, Eun Young. (2013). The Organization of Corticostriatal Connectivity in the Human Brain. [link].

Eklund, Anders. (2012). Computational Medical Image Analysis. [link].

Fisher, Julia Marie. (2015). Classification Analytics in Functional Neuroimaging: Calibrating Signal Detection Parameters. [link].

Horn, Andreas. (2016). Toward connectomic deep brain stimulation. [link].

Kiparizoska, Sara. (2016). The Olfactory System in Schizophrenia: an rsfMRI Study of the Piriform Cortex. [link].

Kipping, Judy Anett. (2015). Functional neuroanatomy of cerebello-cerebral systems. [link].

Riedl, Valentin. (2012). Intrinsic functional brain networks in health and disease. [link].

SUBNETWORK, FRONTOPARIETAL ATTENTION. (2015). "Malaak N. Moussa, Sean L. Simpson, Rhiannon E. Mayhugh, Robert G. Lyday, Linda J. Porrino, Paul J. Laurienti." THE EFFECTS OF SOCIAL DRINKING IN OLDER AGE ON COGNITION AND BRAIN HEALTH. [link].

Vieira, Gilson. (2011). Modelagem matemática-computacional da conectividade cerebral em ressonância magnética funcional para o estudo do estado de repouso. [link].

Yang, Xue. (2013). Robust Statistical Inference in Human Brain Mapping. [link].

Yoldemir, Burak. (2016). Multimodal fusion for assessing functional segregation and integration in the human brain. [link].

吴迪. (2011). 基于多核异质系统的脑网络计 算加速平台. [link].

Theses and dissertations that used ABIDE data

Abraham, Alexandre. (2015). Learning functional brain atlases modeling inter-subject variability. [link].

Chen, Colleen Pam. (2014). A Machine Learning Study of Intrinsic Functional Connectivity in Autism Spectrum Disorders. [link].

Chen, Shaojie. (2015). STATISTICAL METHODS TO ANALYZE MASSIVE HIGH-DIMENSIONAL NEUROIMAGING DATA. [link].

Deltaetamuetataurhoopioacutenulambdaoupsilon, Malpharhoacuteiotaalpha. (2016). Αναγνώριση Ενεργοποιημένων Περιοχών του Εγκεφάλου με Χρήση Ασαφούς Αλγόριθμου C-Μέσων. [link].

Dombrecht, Laure & Masterproef, I. (2015). MAPPING BRAIN NETWORKS AND THEIR DYSFUNCTION IN AUTISM: FUNCTIONAL CONNECTIVITY ANALYSIS. [link].

Esteban SanzDranguet, Oscar. (2013). Image processing methods for human brain connectivity analysis from in-vivo diffusion MRI. [link].

Hromatka, Michelle. (2015). Multisite learning in medical image analysis. [link].

Ismail, Marwa Maher Tawfik. (2016). A CAD system for early diagnosis of autism using different imaging modalities. [link].

Karjalainen, Louise. (2016). Eating disorders, eating pathology and ESSENCE. [link].

Keown, Christopher Lee. (2013). A graph theory study of regional and network functional connectivity in autism spectrum disorders. [link].

Merchan Naranajo, Jessica. (2016). Cognición no social y neuroimagen en TEA sin discapacidad intelectual. [link].

Nielsen, Jared Allen. (2013). Brain functional magnetic resonance imaging lateralization and diagnostic classification in autism. [link].

Petralia, Francesca. (2013). Structured Bayesian Learning Through Mixture Models. [link].

Risk, Benjamin Brewster. (2015). Topics in Independent Component Analysis, Likelihood Component Analysis, and Spatiotemporal Mixed Modeling. [link].

Sen, Bhaskar. (2016). Generalized Prediction Model for Detection of Psychiatric Disorders. [link].

Watanabe, Takanori. (2015). Scalable Machine Learning Methods for Massive Biomedical Data Analysis. [link].

Zhao, Yize. (2014). Bayesian Feature Selection Methods for Complex Biomedical Data. [link].

Theses and dissertations that used ADHD-200 data

Bryant, Christopher. (2016). A Bayesian analysis of weighted stochastic block models with applications in brain functional connectomics. [link].

Colby, John Benjamin. (2012). Development of human brain connectivity in health and disease. [link].

Czerniak, Suzanne M. (2014). ADHD-200 Patient Characterization and Classification using Resting State Networks: A Dissertation. [link].

Dey, Soumyabrata. (2014). Automatic Detection of Brain Functional Disorder Using Imaging Data. [link].

Dey, Soumyabrata & others. (2014). OUTLINE OF GRADUATE STUDIES. [link].

Esteban SanzDranguet, Oscar. (2013). Image processing methods for human brain connectivity analysis from in-vivo diffusion MRI. [link].

Kieling, Renata Rocha. (2013). Conectividade funcional em repouso em crianças com transtorno de déficit de atenção/hiperatividade. [link].

Nielsen, Jared Allen. (2013). Brain functional magnetic resonance imaging lateralization and diagnostic classification in autism. [link].

Pikusa, Michal & Jonczyk, Rafal. (2015). "Functional abnormalities in Broca's area in adolescents with ADHD: A resting-state fMRI study." Poznan Studies in Contemporary Linguistics. [link].

Risk, Benjamin Brewster. (2015). Topics in Independent Component Analysis, Likelihood Component Analysis, and Spatiotemporal Mixed Modeling. [link].

Romero, Roberto Ivan Vega. (2017). The challenge of applying machine learning techniques to diagnose schizophrenia using multi-site fMRI data. [link].

Sen, Bhaskar. (2016). Generalized Prediction Model for Detection of Psychiatric Disorders. [link].

Shu, Hai. (2016). High Dimensional Dependent Data Analysis for Neuroimaging. [link].

Shu, Xinxin. (2014). Time-varying networks estimation and Chinese words segmentation. [link].

Thomas, Brian St. (2015). Linear Subspace and Manifold Learning via Extrinsic Geometry. [link].

Wang, Peng. (2013). Machine Learning Approaches for Disease State Classification from Neuroimaging Data. [link].

Watanabe, Takanori. (2015). Scalable Machine Learning Methods for Massive Biomedical Data Analysis. [link].

Yang, Juemin. (2015). STATISTICAL METHODS FOR BRAIN IMAGING AND GENOMIC DATA ANALYSIS. [link].

Zhang, Jianjia. (2016). Developing advanced methods for covariance representations in computer vision. [link].

Theses and dissertations that used NKI-Rockland data

Abraham, Alexandre. (2015). Learning functional brain atlases modeling inter-subject variability. [link].

Brown, Jesse Aaron. (2013). Multimodality MRI-based Brain Network Analysis: Applications to Genetic Risk for Alzheimer's Disease. [link].

Davey, James M. (2015). The Cognitive and Neural Architecture of Semantic Cognition: Evidence for Dissociable Distributed Systems from Multiple Methods. [link].

Esteban SanzDranguet, Oscar. (2013). Image processing methods for human brain connectivity analysis from in-vivo diffusion MRI. [link].

Fu, Zening & 傅泽宁. (2016). "A study of dynamic functional brain connectivity using functional magnetic resonance imaging (fMRI): method and applications." HKU Theses Online (HKUTO). [link].

Huntenburg, Julia M. (2014). Evaluating nonlinear coregistration of BOLD EPI and T1w images. [link].

Jakab, Andras. (2012). Characterization of normal and pathological patterns of diffusion anisotropy with diffusion tensor imaging. [link].

Jakab, Andras. (2012). Characterization of normal and pathological patterns of diffusion anisotropy with diffusion tensor imaging. [link].

Watanabe, Takanori. (2015). Scalable Machine Learning Methods for Massive Biomedical Data Analysis. [link].

Theses and dissertations that used CORR data

Abraham, Alexandre. (2015). Learning functional brain atlases modeling inter-subject variability. [link].

Romero, Roberto Ivan Vega. (2017). The challenge of applying machine learning techniques to diagnose schizophrenia using multi-site fMRI data. [link].

Theses and dissertations that used unspecified data

Gordji, Roya. (2016). An investigation of abnormal brain connectivity associated with regions implicated in ADHD. [link].

Jie, Fei. (2016). Statistics Methodologies for Neuroconnectivity Analysis Using fMRI Data in Autism. [link].

張哲維. (2014). "結構與功能性大腦磁振影像資訊擷取." 臺灣大學電機工程學研究所學位論文. [link].

戴岱 & others. (2012). 磁共振神经影像数据分类方法的研究及其应用. [link].

Theses and dissertations that used 1,000 Functional Connectomes data

Arsiwalla, Xerxes D & Zucca, Riccardo & Verschure, Paul. (2013). Applications To Human Brain Functional Networks. [link].

Aurich, Nathassia Kadletz & others. (2014). Confiabilidade em ressonância magnética funcional no estado de repouso em diferentes estratégias de pré-processamento. [link].

Brantefors, Per. (2016). Dynamic fMRI brain connectivity: A study of the brain's large-scale network dynamics. [link].

Cao, Wenchao. (2014). Identifying the Brain's most Locally Connected Regions. [link].

Choi, Eun Young. (2013). The Organization of Corticostriatal Connectivity in the Human Brain. [link].

Eklund, Anders. (2012). Computational Medical Image Analysis. [link].

Fisher, Julia Marie. (2015). Classification Analytics in Functional Neuroimaging: Calibrating Signal Detection Parameters. [link].

Horn, Andreas. (2016). Toward connectomic deep brain stimulation. [link].

Kiparizoska, Sara. (2016). The Olfactory System in Schizophrenia: an rsfMRI Study of the Piriform Cortex. [link].

Kipping, Judy Anett. (2015). Functional neuroanatomy of cerebello-cerebral systems. [link].

Riedl, Valentin. (2012). Intrinsic functional brain networks in health and disease. [link].

SUBNETWORK, FRONTOPARIETAL ATTENTION. (2015). "Malaak N. Moussa, Sean L. Simpson, Rhiannon E. Mayhugh, Robert G. Lyday, Linda J. Porrino, Paul J. Laurienti." THE EFFECTS OF SOCIAL DRINKING IN OLDER AGE ON COGNITION AND BRAIN HEALTH. [link].

Vieira, Gilson. (2011). Modelagem matemática-computacional da conectividade cerebral em ressonância magnética funcional para o estudo do estado de repouso. [link].

Yang, Xue. (2013). Robust Statistical Inference in Human Brain Mapping. [link].

Yoldemir, Burak. (2016). Multimodal fusion for assessing functional segregation and integration in the human brain. [link].

吴迪. (2011). 基于多核异质系统的脑网络计 算加速平台. [link].

Theses and dissertations that used 1,000 Functional Connectomes scripts

Antonenko, Daria. (2014). Neuronale Korrelate von Sprachprozessen im jungen und gesund alternden Gehirn. [link].

Avirame, Keren. (2015). Changes in plasticity and cognition as a result of neurovascular disease and non-invasive brain stimulation. [link].

Kobe, Theresa. (2016). Einfluss von Lebensstil und Genetik auf Struktur und Funktion des Gehirns von gesunden älteren Menschen und Patienten mit leichten …. [link].

Olds, Kathryn Curran. (2015). Inhibitory Control Efficiency In Successful Weight Loss Participants. [link].

Sinclair, Benjamin James. (2015). Genetics of Functional Brain Networks. [link].

Theses and dissertations that used ABIDE scripts

Theses and dissertations that used ADHD-200 scripts

Theses and dissertations that used NKI-Rockland scripts

Flodin, Par. (2015). Intrinsic brain activity in health and disease. [link].

Theses and dissertations that used CORR scripts

Theses and dissertations that used unspecified scripts

Theses and dissertations that used 1,000 Functional Connectomes scripts

Antonenko, Daria. (2014). Neuronale Korrelate von Sprachprozessen im jungen und gesund alternden Gehirn. [link].

Avirame, Keren. (2015). Changes in plasticity and cognition as a result of neurovascular disease and non-invasive brain stimulation. [link].

Kobe, Theresa. (2016). Einfluss von Lebensstil und Genetik auf Struktur und Funktion des Gehirns von gesunden älteren Menschen und Patienten mit leichten …. [link].

Olds, Kathryn Curran. (2015). Inhibitory Control Efficiency In Successful Weight Loss Participants. [link].

Sinclair, Benjamin James. (2015). Genetics of Functional Brain Networks. [link].

Theses and dissertations that cited 1,000 Functional Connectomes data

Beltz, Adriene M. (2014). Sex differences in the resting state brain function of cigarette smokers and links with smoking-related behavior. [link].

Dickie, David Alexander. (2014). Methods to assess changes in human brain structure across the lifecourse. [link].

Ferreira, Luiz Roberto Kobuti. (20). Funcionamento cerebral de repouso em idosos e recuperação de memória autobiográfica: um estudo de ressonância magnética funcional. [link].

Kalinichenko, LA & DY, Kovalev & Kovaleva, DA & Malkov, OY. (2014). Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support. [link].

Kiar, Gregory. (2016). GREMLIN: Graph Estimation From MR Images Leading to Inference in Neuroscience. [link].

Kusefoglu, Deniz S. (2013). Long-range thalamic projections to neocortex and basal ganglia: a model for the mesoscopic connectome. [link].

Nielson, Dylan Miles. (2015). The Development and Application of Multivariate Analyses for Guiding Clinical Interventions and Mapping Representations of Human Memory. [link].

Polavaram, Sridevi. (2016). Knowledge Representation and Data Mining of Neuronal Morphologies Using Neuroinformatics Tools and Formal Ontologies. [link].

Proal Fernandez, Erika & Carmona Canabate, Susana. (2011). Brain anatomy of attention deficit/hyperactivity disorder in children and adults with childhood onset. [link].

Schwartz, Yannick. (2015). Large-scale functional MRI analysis to accumulate knowledge on brain functions. [link].

Sousa, Tiago Miguel Faria de. (2014). NEArBy: lexical normalization for atlas enabled CBR system for neuroimaging. [link].

Theses and dissertations that cited ABIDE data

April, Jillian. (2013). Brain and Genetic Mechanisms of Socio-‐Emotional Functioning in Autism Spectrum Disorders. [link].

Chand, Ganesh. (2015). Oscillatory Network Dynamics in Perceptual Decision-Making. [link].

Dinstein, Ilan & Heeger, D & Behrmann, Marlene. (2015). How noisy is your brain. [link].

Eavani, Harini. (2016). Computational methods for analysis of resting state functional connectivity and their application to study of aging. [link].

Lombardo, Michael V & Lai, MengChuan & Auyeung, Bonnie & Holt, Rosemary J & Allison, Carrie & Smith, Paula & Chakrabarti, Bhismadev & Ruigrok, Amber NV & Suckling, John & Bullmore, Edward T & others. (2015). "Enhancing the precision of our understanding about mentalizing in adults with autism." bioRxiv. [link].

Witherington, Beverley & others. (2015). Anticipatory postural adjustments in autism. [link].

Theses and dissertations that cited ADHD-200 data

Salavert Jimenez, Jose & PomarolClotet, Edith & Caseras Vives, Xavier & Torrubia Beltri, Rafael. (2015). Brain functional and structural changes in adult ADHD and their relation to long-term stimulant treatment. [link].

Theses and dissertations that cited NKI-Rockland data

Theses and dissertations that cited CORR data

Theses and dissertations that cited unspecified data

Matheson, Leonard. (2014). Your Faithful Brain: Designed for So Much More!. [link].

Zheng, Xueying & 郑雪莹. (2013). "Robust joint mean-covariance model selection and time-varying correlation structure estimation for dependent data." HKU Theses Online (HKUTO). [link].

Theses and dissertations that cited 1,000 Functional Connectomes data

Beltz, Adriene M. (2014). Sex differences in the resting state brain function of cigarette smokers and links with smoking-related behavior. [link].

Dickie, David Alexander. (2014). Methods to assess changes in human brain structure across the lifecourse. [link].

Ferreira, Luiz Roberto Kobuti. (20). Funcionamento cerebral de repouso em idosos e recuperação de memória autobiográfica: um estudo de ressonância magnética funcional. [link].

Kalinichenko, LA & DY, Kovalev & Kovaleva, DA & Malkov, OY. (2014). Introduction into Analysis of Methods and Tools for Hypothesis-Driven Scientific Experiment Support. [link].

Kiar, Gregory. (2016). GREMLIN: Graph Estimation From MR Images Leading to Inference in Neuroscience. [link].

Kusefoglu, Deniz S. (2013). Long-range thalamic projections to neocortex and basal ganglia: a model for the mesoscopic connectome. [link].

Nielson, Dylan Miles. (2015). The Development and Application of Multivariate Analyses for Guiding Clinical Interventions and Mapping Representations of Human Memory. [link].

Polavaram, Sridevi. (2016). Knowledge Representation and Data Mining of Neuronal Morphologies Using Neuroinformatics Tools and Formal Ontologies. [link].

Proal Fernandez, Erika & Carmona Canabate, Susana. (2011). Brain anatomy of attention deficit/hyperactivity disorder in children and adults with childhood onset. [link].

Schwartz, Yannick. (2015). Large-scale functional MRI analysis to accumulate knowledge on brain functions. [link].

Sousa, Tiago Miguel Faria de. (2014). NEArBy: lexical normalization for atlas enabled CBR system for neuroimaging. [link].

Preprint articles that used 1,000 Functional Connectomes data

Badea, Liviu & Onu, Mihaela & Wu, Tao & Roceanu, Adina & Bajenaru, Ovidiu. (2016). "Nonreproducible connectome changes hint at functional heterogeneity of Parkinson's Disease." arXiv preprint arXiv:1611.04794. [link].

Eklund, Anders & Nichols, Thomas & Knutsson, Hans. (2015). "Can parametric statistical methods be trusted for fMRI based group studies?." arXiv preprint arXiv:1511.01863. [link].

Ellis, Steven P & Klein, Arno. (2012). "Describing High-Order Statistical Dependence Using" Concurrence Topology", with Application to Functional MRI Brain Data." arXiv preprint arXiv:1212.1642. [link].

Flandin, Guillaume & Friston, Karl J. (2016). "Analysis of family-wise error rates in statistical parametric mapping using random field theory." arXiv preprint arXiv:1606.08199. [link].

Ginestet, Cedric E & Li, Jun & Balanchandran, Prakash & Rosenberg, Steven & Kolaczyk, Eric D. (2014). "Hypothesis testing for network data in functional neuroimaging." arXiv preprint arXiv:1407.5525. [link].

Grindrod, Peter & Stoyanov, Zhivko V & Smith, Garry. (2013). Department of Mathematics and Statistics. [link].

Mukherjee, Soumendu Sundar & Sarkar, Purnamrita & Lin, Lizhen. (2016). "On estimating a mixture on graphons." arXiv preprint arXiv:1606.02401. [link].

Relion, Jesus D Arroyo & Kessler, Daniel & Levina, Elizaveta & Taylor, Stephan F. (2017). "Network classification with applications to brain connectomics." arXiv preprint arXiv:1701.08140. [link].

Robinson, Andrew & Turner, Katharine. (2013). "Hypothesis testing for topological data analysis." arXiv preprint arXiv:1310.7467. [link].

Singh, Megha & Badhwar, Rahul & Bagler, Ganesh. (2016). "Network biomarkers of schizophrenia by graph theoretical investigations of Brain Functional Networks." arXiv preprint arXiv:1602.01191. [link].

Tagliazucchi, Enzo & Laufs, Helmut & Chialvo, Dante R. (2014). "A few points suffice: Efficient large-scale computation of brain voxel-wise functional connectomes from a sparse spatio-temporal point-process." arXiv preprint arXiv:1409.6378. [link].

Wang, Xindi & Lin, Qixiang & Xia, Mingrui & He, Yong. (2016). "Differentially Categorized Structural Connectome Hubs are Involved in Differential Microstructural Basis and Functional Implications and Contribute to Individual …." arXiv preprint arXiv:1609.03372. [link].

Wu, GuoRong & Marinazzo, Daniele. (2015). Retrieving the Hemodynamic Response Function in resting state fMRI: methodology and applications. [link].

Preprint articles that used ABIDE data

Anirudh, Rushil & Thiagarajan, Jayaraman J & Kim, Irene & Polonik, Wolfgang. (2016). "Autism Spectrum Disorder Classification using Graph Kernels on Multidimensional Time Series." arXiv preprint arXiv:1611.09897. [link].

Belilovsky, Eugene & Kastner, Kyle & Varoquaux, Gael & Blaschko, Matthew. (2016). "Learning to Discover Graphical Model Structures." arXiv preprint arXiv:1605.06359. [link].

Bethlehem, Richard AI & RomeroGarcia, Rafael & Mak, Elijah & Bullmore, Edward & BaronCohen, Simon. (2017). "Structural covariance networks in children with autism or ADHD." bioRxiv. [link].

Dansereau, Christian & Benhajali, Yassine & Risterucci, Celine & Pich, Emilio Merlo & Orban, Pierre & Arnold, Douglas & Bellec, Pierre. (2016). "Statistical power and measurement bias in multisite resting-state fMRI connectivity." arXiv preprint arXiv:1607.03392. [link].

Dansereaua, Christian & Benhajalia, Yassine & Risteruccid, Celine & Merlo, Emilio. (2016). "Statistical power and prediction accuracy in multisite resting-state fMRI connectivity." arXiv preprint arXiv:1607.03392. [link].

Dolz, J & Desrosiers, C & Ayed, I Ben. (2016). "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study." arXiv preprint arXiv:1612.03925. [link].

Esteban, Oscar & Birman, Daniel & Schaer, Marie & Koyejo, Oluwasanmi O & Poldrack, Russell A & Gorgolewski, Krzysztof J. (2017). "MRIQC: Predicting Quality in Manual MRI Assessment Protocols Using No-Reference Image Quality Measures." bioRxiv. [link].

Fujita, Andre & Takahashi, Daniel Y & Patriota, Alexandre G & Sato, Joao R. (2013). "A statistical test to identify differences in clustering structures." arXiv preprint arXiv:1311.6732. [link].

Gong, Weikang & Wan, Lin & Lu, Wenlian & Ma, Liang & Cheng, Fan & Cheng, Wei & Gruenewald, Stefan & Feng, Jianfeng. (2016). "Statistical testing and power analysis for brain-wide association study." bioRxiv. [link].

Hanson, SJ & Mastrovito, D & Hanson, C & Ramsey, J & Glymour, C. (2016). "Scale-Free Exponents of Resting State provide a Biomarker for Typical and Atypical Brain Activity." arXiv preprint arXiv:1605.09282. [link].

Hanson, Stephen Jose & Mastrovito, Dana & Hanson, Catherine & Ramsey, Joe & Glymour, Clark. (2016). "Scale-Free Exponents of Resting State are Biomarkers of Neuro-Typical and Atypical Brain Activity." bioRxiv. [link].

Keshavan, Anisha & Datta, Esha & McDonough, Ian & Madan, Christopher R & Jordan, Kesshi & Henry, Roland. (2016). "Mindcontrol: A Web Application for Br1189ain Segmentation Quality Control." bioRxiv. [link].

Matthysen, Wilma & Marinazzo, Daniele & Siugzdaite, Roma. (2016). Hypo-and hyper-connectivity in default mode network related to social impairment in tweens with autism spectrum disorder. [link].

Mejia, Amanda F & Nebel, Mary Beth & Eloyan, Ani & Caffo, Brian & Lindquist, Martin A. (2015). "PCA leverage: outlier detection for high-dimensional functional magnetic resonance imaging data." arXiv preprint arXiv:1509.00882. [link].

Monti, Ricardo Pio & Anagnostopoulos, Christoforos & Montana, Giovanni. (2015). "Learning population and subject-specific brain connectivity networks via mixed neighborhood selection." arXiv preprint arXiv:1512.01947. [link].

Narayan, Manjari & Allen, Genevera I & Tomson, Steffie. (2015). "Two sample inference for populations of graphical models with applications to functional connectivity." arXiv preprint arXiv:1502.03853. [link].

Pardoe, Heath R & Kuzniecky, Ruben. (2017). "NAPR: a cloud-based framework for neuroanatomical age prediction." bioRxiv. [link].

Shi, Ran & Kang, Jian. (2015). "Thresholded Multiscale Gaussian Processes with Application to Bayesian Feature Selection for Massive Neuroimaging Data." arXiv preprint arXiv:1504.06074. [link].

Sun, Will Wei & Li, Lexin. (2016). "Sparse Low-rank Tensor Response Regression." arXiv preprint arXiv:1609.04523. [link].

Traut, Nicolas & Beggiato, Anita & Bourgeron, Thomas & Delorme, Richard & RondiReig, Laure & Paradis, AnneLise & Toro, Roberto. (2017). "Cerebellar volume in autism: Meta-analysis and analysis of the ABIDE cohort." bioRxiv. [link].

Xie, Jichun & Kang, Jian. (2016). "High Dimensional Tests for Functional Networks of Brain Anatomic Regions." arXiv preprint arXiv:1603.06138. [link].

Yan, ChaoGan & Yang, Zhen & Colcombe, Stanley & Zuo, XiNian & Milham, Michael. (2016). "Concordance Among Indices of Intrinsic Brain Function: Inter-Individual Variation and Temporal Dynamics Perspectives." bioRxiv. [link].

Preprint articles that used ADHD-200 data

Bethlehem, Richard AI & RomeroGarcia, Rafael & Mak, Elijah & Bullmore, Edward & BaronCohen, Simon. (2017). "Structural covariance networks in children with autism or ADHD." bioRxiv. [link].

Dai, Xiongtao & Muller, HansGeorg & Yao, Fang. (2016). "Optimal Bayes Classifiers for Functional Data and Density Ratios." arXiv preprint arXiv:1605.03707. [link].

Dansereau, Christian & Benhajali, Yassine & Risterucci, Celine & Pich, Emilio Merlo & Orban, Pierre & Arnold, Douglas & Bellec, Pierre. (2016). "Statistical power and measurement bias in multisite resting-state fMRI connectivity." arXiv preprint arXiv:1607.03392. [link].

Dansereaua, Christian & Benhajalia, Yassine & Risteruccid, Celine & Merlo, Emilio. (2016). "Statistical power and prediction accuracy in multisite resting-state fMRI connectivity." arXiv preprint arXiv:1607.03392. [link].

Fan, Jianqing & Liu, Han & Wang, Weichen & Zhu, Ziwei. (2016). "Heterogeneity Adjustment with Applications to Graphical Model Inference." arXiv preprint arXiv:1602.05455. [link].

Fujita, Andre & Takahashi, Daniel Y & Patriota, Alexandre G & Sato, Joao R. (2013). "A statistical test to identify differences in clustering structures." arXiv preprint arXiv:1311.6732. [link].

Han, Fang & Qiu, Huitong & Liu, Han & Caffo, Brian. (2014). "On the Impact of Dimension Reduction on Graphical Structures." arXiv preprint arXiv:1404.7547. [link].

Ji, Xiaoxi & Cheng, Wei & Zhang, Jie & Ge, Tian & Sun, Li & Wang, Yufeng & Feng, Jianfeng. (2011). "Increased coupling in the saliency network is the main cause/effect of attention deficit hyperactivity disorder." arXiv preprint arXiv:1112.3496. [link].

Lee, Kevin & Xue, Lingzhou. (2015). "Nonparametric mixture of Gaussian graphical models." arXiv preprint arXiv:1512.09206. [link].

Li, Xiaoshan & Zhou, Hua & Li, Lexin. (2013). "Tucker tensor regression and neuroimaging analysis." arXiv preprint arXiv:1304.5637. [link].

Li, Zhiqiang & Wang, Yilun & Wang, Yifeng & Wang, Xiaona & Zheng, Junjie & Chen, Huafu. (2015). "A Novel Feature Selection Approach for Analyzing High dimensional Functional MRI Data." arXiv preprint arXiv:1506.08301. [link].

Lu, Junwei & Kolar, Mladen & Liu, Han. (2015). "Post-Regularization Inference for Dynamic Nonparanormal Graphical Models." arXiv preprint arXiv:1512.08298. [link].

Mensch, Arthur & Mairal, Julien & Thirion, Bertrand & Varoquaux, Gael. (2017). "Stochastic Subsampling for Factorizing Huge Matrices." arXiv preprint arXiv:1701.05363. [link].

Narayan, Manjari & Allen, Genevera I & Tomson, Steffie. (2015). "Two sample inference for populations of graphical models with applications to functional connectivity." arXiv preprint arXiv:1502.03853. [link].

Neykov, Matey & Lu, Junwei & Liu, Han. (2016). "Combinatorial Inference for Graphical Models." arXiv preprint arXiv:1608.03045. [link].

Sen, Bhaskar & Shi, Zheng & Burlet, Gregory. (2015). "Diagnosing ADHD from fMRI Scans Using Hidden Markov Models." arXiv preprint arXiv:1506.06048. [link].

Wang, Yilun & Li, Zhiqiang & Wang, Yifeng & Wang, Xiaona & Zheng, Junjie & Duan, Xujuan & Chen, Huafu. (2015). "A Novel Approach for Stable Selection of Informative Redundant Features from High Dimensional fMRI Data." arXiv preprint arXiv:1506.08301. [link].

Yang, Juemin & Eloyan, Ani & Barber, Anita & Nebel, Mary Beth & Mostofsky, Stewart & Pekar, James J & Crainiceanu, Ciprian & Caffo, Brian. (2013). "Homotopic Group ICA for Multi-Subject Brain Imaging Data." arXiv preprint arXiv:1302.4373. [link].

Yao, Y & Lu, WL & Xu, B & Li, CB & Lin, CP & Waxman, David & Feng, JF. (2014). "The increase of the functional entropy of the human brain with age." arXiv preprint arXiv:1406.1976. [link].

Zhang, Anru. (2016). "Cross: Efficient Low-rank Tensor Completion." arXiv preprint arXiv:1611.01129. [link].

Zhang, Jianjia & Wang, Lei & Zhou, Luping & Li, Wanqing. (2016). "Exploiting Structure Sparsity for Covariance-based Visual Representation." arXiv preprint arXiv:1610.08619. [link].

Preprint articles that used NKI-Rockland data

Betzel, Richard F & Mivsic, Bratislav & He, Ye & Rumschlag, Jeffrey & Zuo, XiNian & Sporns, Olaf. (2015). "Functional brain modules reconfigure at multiple scales across the human lifespan." arXiv preprint arXiv:1510.08045. [link].

Fukushima, Makoto & Betzel, Richard F & He, Ye & Zuo, XiNian & Sporns, Olaf. (2015). "Characterizing Spatial Patterns and Flow Dynamics in Functional Connectivity States and Their Changes across the Human Lifespan." arXiv preprint arXiv:1511.06427. [link].

Fukushima, Makoto & Betzel, Richard F & He, Ye & de Reus, Marcel A & Heuvel, Martijn P & Zuo, XiNian & Sporns, Olaf. (2015). "Individual variability and connectivity dynamics in modular organization of human cortical functional networks." arXiv preprint arXiv:1511.06427. [link].

Hwang, Kai & Bertolero, Maxwell A & Liu, William & DEsposito, Mark. (2016). "The human thalamus is an integrative hub for functional brain networks." bioRxiv. [link].

Langer, Nicolas & Ho, Erica J & Alexander, Lindsay M & Xu, Helen Y & Jozanovic, Renee K & Henin, Simon & Cohen, Samantha & Marcelle, Enitan T & Parra, Lucas C & Milham, Michael P & others. (2016). "A Resource for Assessing Information Processing in the Developing Brain Using EEG and Eye Tracking." bioRxiv. [link].

OConnor, David & Potler, Natan Vega & Kovacs, Meagan & Xu, Ting & Ai, Lei & Pellman, John & Vanderwal, Tamara & Parra, Lucas & Cohen, Samantha & Ghosh, Satrajit & others. (2016). "The Healthy Brain Network Serial Scanning Initiative: A resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions." bioRxiv. [link].

Pardoe, Heath R & Kuzniecky, Ruben. (2017). "NAPR: a cloud-based framework for neuroanatomical age prediction." bioRxiv. [link].

Rasero, Javier & Pellicoro, Mario & Angelini, Leonardo & Cortes, Jesus M & Marinazzo, Daniele & Stramaglia, Sebastiano. (2016). "Consensus clustering approach to group brain connectivity matrices." arXiv preprint arXiv:1612.03760. [link].

Reus, Alessandra Griffa & Vertes, Petra E & Mivsic, Bratislav & Thiran, JeanPhilippe & Hagmann, Patric & van den Heuvel, Martijn & Zuo, XiNian & Bullmore, Edward T & Sporns, Olaf. (2015). "Generative models of the human connectome." arXiv preprint arXiv:1506.06795. [link].

Stramaglia, Sebastiano & Pellicoro, Mario & Angelini, Leonardo & Amico, Enrico & Aerts, Hannelore & Cortes, Jesus & Laureys, Steven & Marinazzo, Daniele. (2015). "Conserved Ising Model on the Human Connectome." arXiv preprint arXiv:1509.02697. [link].

Xu, Ting & Opitz, Alexander & Craddock, R Cameron & Zuo, XiNian & Milham, Michael. (2016). "Intrinsic Areal Organization in the Individual Brain: Unique and Reliable." bioRxiv. [link].

Yan, ChaoGan & Yang, Zhen & Colcombe, Stanley & Zuo, XiNian & Milham, Michael. (2016). "Concordance Among Indices of Intrinsic Brain Function: Inter-Individual Variation and Temporal Dynamics Perspectives." bioRxiv. [link].

Preprint articles that used CORR data

Dansereau, Christian & Benhajali, Yassine & Risterucci, Celine & Pich, Emilio Merlo & Orban, Pierre & Arnold, Douglas & Bellec, Pierre. (2016). "Statistical power and measurement bias in multisite resting-state fMRI connectivity." arXiv preprint arXiv:1607.03392. [link].

Dansereaua, Christian & Benhajalia, Yassine & Risteruccid, Celine & Merlo, Emilio. (2016). "Statistical power and prediction accuracy in multisite resting-state fMRI connectivity." arXiv preprint arXiv:1607.03392. [link].

Keshavan, Anisha & Datta, Esha & McDonough, Ian & Madan, Christopher R & Jordan, Kesshi & Henry, Roland. (2016). "Mindcontrol: A Web Application for Br1189ain Segmentation Quality Control." bioRxiv. [link].

Lu, Junwei & Kolar, Mladen & Liu, Han. (2015). "Post-Regularization Inference for Dynamic Nonparanormal Graphical Models." arXiv preprint arXiv:1512.08298. [link].

Shen, Cencheng & Priebe, Carey E & Maggioni, Mauro & Vogelstein, Joshua T. (2016). "Discovering Relationships Across Disparate Data Modalities." arXiv preprint arXiv:1609.05148. [link].

Preprint articles that used unspecified data

Liu, Weidong & Luo, Xi. (2012). "High-dimensional sparse precision matrix estimation via sparse column inverse operator." arXiv preprint arXiv:1203.3896. [link].

Preprint articles that used 1,000 Functional Connectomes data

Badea, Liviu & Onu, Mihaela & Wu, Tao & Roceanu, Adina & Bajenaru, Ovidiu. (2016). "Nonreproducible connectome changes hint at functional heterogeneity of Parkinson's Disease." arXiv preprint arXiv:1611.04794. [link].

Eklund, Anders & Nichols, Thomas & Knutsson, Hans. (2015). "Can parametric statistical methods be trusted for fMRI based group studies?." arXiv preprint arXiv:1511.01863. [link].

Ellis, Steven P & Klein, Arno. (2012). "Describing High-Order Statistical Dependence Using" Concurrence Topology", with Application to Functional MRI Brain Data." arXiv preprint arXiv:1212.1642. [link].

Flandin, Guillaume & Friston, Karl J. (2016). "Analysis of family-wise error rates in statistical parametric mapping using random field theory." arXiv preprint arXiv:1606.08199. [link].

Ginestet, Cedric E & Li, Jun & Balanchandran, Prakash & Rosenberg, Steven & Kolaczyk, Eric D. (2014). "Hypothesis testing for network data in functional neuroimaging." arXiv preprint arXiv:1407.5525. [link].

Grindrod, Peter & Stoyanov, Zhivko V & Smith, Garry. (2013). Department of Mathematics and Statistics. [link].

Mukherjee, Soumendu Sundar & Sarkar, Purnamrita & Lin, Lizhen. (2016). "On estimating a mixture on graphons." arXiv preprint arXiv:1606.02401. [link].

Relion, Jesus D Arroyo & Kessler, Daniel & Levina, Elizaveta & Taylor, Stephan F. (2017). "Network classification with applications to brain connectomics." arXiv preprint arXiv:1701.08140. [link].

Robinson, Andrew & Turner, Katharine. (2013). "Hypothesis testing for topological data analysis." arXiv preprint arXiv:1310.7467. [link].

Singh, Megha & Badhwar, Rahul & Bagler, Ganesh. (2016). "Network biomarkers of schizophrenia by graph theoretical investigations of Brain Functional Networks." arXiv preprint arXiv:1602.01191. [link].

Tagliazucchi, Enzo & Laufs, Helmut & Chialvo, Dante R. (2014). "A few points suffice: Efficient large-scale computation of brain voxel-wise functional connectomes from a sparse spatio-temporal point-process." arXiv preprint arXiv:1409.6378. [link].

Wang, Xindi & Lin, Qixiang & Xia, Mingrui & He, Yong. (2016). "Differentially Categorized Structural Connectome Hubs are Involved in Differential Microstructural Basis and Functional Implications and Contribute to Individual …." arXiv preprint arXiv:1609.03372. [link].

Wu, GuoRong & Marinazzo, Daniele. (2015). Retrieving the Hemodynamic Response Function in resting state fMRI: methodology and applications. [link].

Preprint articles that cited 1,000 Functional Connectomes data

Poldrack, Russell & Baker, Chris I & Durnez, Joke & Gorgolewski, Krzysztof & Matthews, Paul M & Munafo, Marcus & Nichols, Thomas & Poline, JeanBaptiste & Vul, Edward & Yarkoni, Tal. (2016). "Scanning the Horizon: Future challenges for neuroimaging research." bioRxiv. [link].

Preprint articles that cited ABIDE data

Brown, Colin J & Hamarneh, Ghassan. (2016). "Machine Learning on Human Connectome Data from MRI." arXiv preprint arXiv:1611.08699. [link].

Caiafa, Cesar F & Pestilli, Franco. (2017). "Multidimensional encoding of brain connectomes." bioRxiv. [link].

Chen, Shuo & Xing, Yishi & Kang, Jian & Shukla, Dinesh & Kochunov, Peter & Hong, L Elliot. (2016). "Uncovering Hidden Disease-related Brain Connectome Networks." arXiv preprint arXiv:1609.00360. [link].

Fingher, Noa & Dinstein, Ilan & BenShachar, Michal & Haar, Shlomi & Dale, Anders & Eyler, Lisa & Pierce, Karen & Courchesne, Eric. (2017). "Toddlers later diagnosed with autism exhibit multiple structural abnormalities in temporal corpus callosum fibers." bioRxiv. [link].

Liska, Adam & Gomolka, Ryszard & Sabbioni, Mara & Galbusera, Alberto & Panzeri, Stefano & Scattoni, Maria Luisa & Gozzi, Alessandro. (2016). "Homozygous loss of autism-risk gene CNTNAP2 results in reduced local and long-range prefrontal functional connectivity." bioRxiv. [link].

Preprint articles that cited ADHD-200 data

Brown, Colin J & Hamarneh, Ghassan. (2016). "Machine Learning on Human Connectome Data from MRI." arXiv preprint arXiv:1611.08699. [link].

Guntupalli, J Swaroop & Haxby, James V. (2017). "A computational model of shared fine-scale structure in the human connectome." bioRxiv. [link].

Zhang, Xiang & Li, Lexin & Zhou, Hua & Shen, Dinggang & others. (2014). "Tensor Generalized Estimating Equations for Longitudinal Imaging Analysis." arXiv preprint arXiv:1412.6592. [link].

Preprint articles that cited NKI-Rockland data

Baum, Graham L & Ciric, Rastko & Roalf, David R & Betzel, Richard F & Moore, Tyler M & Shinohara, Russel T & Kahn, Ari E & Quarmley, Megan & Cook, Philip A & Elliot, Mark A & others. (2016). "Modular Segregation of Structural Brain Networks Supports the Development of Executive Function in Youth." arXiv preprint arXiv:1608.03619. [link].

Caiafa, Cesar F & Pestilli, Franco. (2017). "Multidimensional encoding of brain connectomes." bioRxiv. [link].

Rokem, Ariel & Takemura, Hiromasa & Bock, Andrew & Scherf, K Suzanne & Behrmann, Marlene & Wandell, Brian & Fine, Ione & Bridge, Holly & Pestilli, Franco. (2016). "The visual white matter: The application of diffusion MRI and fiber tractography to vision science." bioRxiv. [link].

Vij, Shruti Gopal & Nomi, Jason & Dajani, Dina R & Uddin, Lucina Q. (2017). "Age-related changes in spatial and temporal features of resting state fMRI." bioRxiv. [link].

Preprint articles that cited CORR data

Kiar, Gregory & Gorgolewski, Krzysztof J & Kleissas, Dean & Roncal, William Gray & Litt, Brian & Wandell, Brian & Poldrack, Russel A & Wiener, Martin & Vogelstein, R Jacob & Burns, Randal & others. (2016). "Science In the Cloud (SIC): A use case in MRI Connectomics." arXiv preprint arXiv:1610.08484. [link].

Preprint articles that cited unspecified data

Preprint articles that cited 1,000 Functional Connectomes data

Poldrack, Russell & Baker, Chris I & Durnez, Joke & Gorgolewski, Krzysztof & Matthews, Paul M & Munafo, Marcus & Nichols, Thomas & Poline, JeanBaptiste & Vul, Edward & Yarkoni, Tal. (2016). "Scanning the Horizon: Future challenges for neuroimaging research." bioRxiv. [link].