Functional connectomics from a “big data” perspective

NeuroImage

Volumn 160, Issue , 2017, Pages 152-167

  Xia, Mingrui ^a   He, Yong ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Big data; Brain networks; Connectome; Dynamics; Fingerprint; Graph theory

Indexed keywords

AGING; ARTICLE; BEHAVIOR; BRAIN DISEASE; BRAIN FUNCTION; COGNITION; CONNECTOME; DATA ANALYSIS; DATA BASE; DEVELOPMENT; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAPH THEORY; HUMAN; IMAGE PROCESSING; INDEPENDENT COMPONENT ANALYSIS; INFORMATION PROCESSING; MACHINE LEARNING; MATHEMATICAL MODEL; MENTAL DISEASE; NERVE CELL NETWORK; NEUROIMAGING; PRIORITY JOURNAL; REPRODUCIBILITY; STATISTICAL ANALYSIS; TEST RETEST RELIABILITY; BRAIN; METADATA; NERVE TRACT; PHYSIOLOGY; PROCEDURES;

BRAIN; CONNECTOME; HUMANS; METADATA; NERVE NET; NEURAL PATHWAYS;

EID: 85013471853     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2017.02.031     Document Type: Article

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