Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks

NeuroImage

Volumn 127, Issue , 2016, Pages 287-297

  Betzel, Richard F ^a,b   Fukushima, Makoto ^b   He, Ye ^c   Zuo, Xi Nian ^c   Sporns, Olaf ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b INDIANA UNIVERSITY   (United States)

^c INSTITUTE OF PSYCHOLOGY   (China)

Author keywords

Dynamic functional connectivity; Modularity; Networks

Indexed keywords

ARTICLE; BRAIN FUNCTION; BRAIN REGION; CONNECTOME; CONTROLLED STUDY; DATA ANALYSIS; DEFAULT MODE NETWORK; FUNCTIONAL ASSESSMENT; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; NEUROIMAGING; NEUROMODULATION; PREDICTION; PRIORITY JOURNAL; RESTING STATE NETWORK; ADULT; ALGORITHM; BRAIN; BRAIN MAPPING; FEMALE; IMAGE PROCESSING; MALE; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; REST;

ADULT; ALGORITHMS; BRAIN; BRAIN MAPPING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; NEURAL PATHWAYS; REST;

EID: 84953307193     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.12.001     Document Type: Article

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