Brain Network Adaptability across Task States

PLoS Computational Biology

Volumn 11, Issue 1, 2015, Pages

  Davison, Elizabeth N ^a,b   Schlesinger, Kimberly J ^b   Bassett, Danielle S ^c   Lynall, Mary Ellen ^d,e   Miller, Michael B ^b   Grafton, Scott T ^b   Carlson, Jean M ^b  

^a Princeton University   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d UNIVERSITY OF OXFORD   (United Kingdom)

^e UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE SYSTEMS;

BRAIN NETWORKS; DYNAMIC ENVIRONMENTS; FUNCTIONAL INTERACTION; FUNCTIONAL STATE; FUNDAMENTAL PRINCIPLES; HUMAN BRAIN; HYPER GRAPH; IN NETWORKS; NETWORK ADAPTABILITY; TASK STATE;

BRAIN;

ADAPTATION; ARTICLE; ATTENTION; BRAIN; BRAIN FUNCTION; COGNITION; HUMAN; HUMAN EXPERIMENT; MATHEMATICAL COMPUTING; MEMORY; MENTAL TASK; RESTING STATE NETWORK; TASK PERFORMANCE; ADULT; ANATOMY AND HISTOLOGY; BRAIN MAPPING; IMAGE PROCESSING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES;

ADULT; BRAIN; BRAIN MAPPING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; TASK PERFORMANCE AND ANALYSIS;

EID: 84922253395     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004029     Document Type: Article

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