Overlapping communities reveal rich structure in large-scale brain networks during rest and task conditions

NeuroImage

Volumn 135, Issue , 2016, Pages 92-106

  Najafi, Mahshid ^a,b   McMenamin, Brenton W ^b   Simon, Jonathan Z ^a,c   Pessoa, Luiz ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c Bldg 142   (United States)

Author keywords

Bayesian methods; Clustering; Functional MRI; Networks; Overlapping communities

Indexed keywords

ARTICLE; BAYES THEOREM; BRAIN FUNCTION; BRAIN REGION; CONTROLLED STUDY; FUNCTIONAL ANATOMY; FUNCTIONAL ASSESSMENT; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; MENTAL PERFORMANCE; MENTAL TASK; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; RESTING STATE NETWORK; STRUCTURE ANALYSIS; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COGNITION; COMPUTER SIMULATION; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; REST; TASK PERFORMANCE;

BAYES THEOREM; BRAIN; BRAIN MAPPING; COGNITION; COMPUTER SIMULATION; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; NERVE NET; REST; TASK PERFORMANCE AND ANALYSIS;

EID: 84964914880     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.04.054     Document Type: Article

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