Detecting network modules in fMRI time series: A weighted network analysis approach

NeuroImage

Volumn 52, Issue 4, 2010, Pages 1465-1476

  Mumford, Jeanette A ^a   Horvath, Steve ^b,c   Oldham, Michael C ^d   Langfelder, Peter ^b   Geschwind, Daniel H ^b,e   Poldrack, Russell A ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Functional connectivity; Functional magnetic resonance imaging; Graph theory; Small world networks

Indexed keywords

ARTICLE; BRAIN REGION; CONTROLLED STUDY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; INTERMETHOD COMPARISON; MATHEMATICAL ANALYSIS; NORMAL HUMAN; PRIORITY JOURNAL; SIGNAL PROCESSING; TIME SERIES ANALYSIS; VOXEL BASED MORPHOMETRY;

ALGORITHMS; BRAIN; BRAIN MAPPING; EVOKED POTENTIALS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; NERVE NET; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 77954956827     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2010.05.047     Document Type: Article

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