Resting-brain functional connectivity predicted by analytic measures of network communication

Proceedings of the National Academy of Sciences of the United States of America

Volumn 111, Issue 2, 2014, Pages 833-838

  Goni, Joaquin ^a   Van Den Heuvel, Martijn P ^b   Avena Koenigsberger, Andrea ^a   De Mendizabal, Nieves Velez ^c,d   Betzel, Richard F ^a   Griffa, Alessandra ^e,f   Hagmann, Patric ^e,f   Corominas Murtra, Bernat ^g   Thiran, Jean Philippe ^e,f   Sporns, Olaf ^a  

^a INDIANA UNIVERSITY   (United States)

^b UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^c INDIANA UNIVERSITY   (United States)

^d Indiana Clinical and Translational Sciences Institute   (United States)

^e EPFL   (Switzerland)

^f LAUSANNE UNIVERSITY HOSPITAL   (Switzerland)

^g MEDICAL UNIVERSITY OF VIENNA   (Austria)

Author keywords

Brain connectivity; Connectome; Graph theory; Network theory

Indexed keywords

ARTICLE; BRAIN FUNCTION; CALCULATION; CELL COMMUNICATION; MATHEMATICAL MODEL; NERVE CELL NETWORK; PRIORITY JOURNAL;

BRAIN CONNECTIVITY; CONNECTOME; GRAPH THEORY; NETWORK THEORY;

BRAIN; CELL COMMUNICATION; CONNECTOME; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; LINEAR MODELS; MALE; MODELS, NEUROLOGICAL; NERVE NET;

EID: 84892571821     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1315529111     Document Type: Article

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