Parallel ICA identifies sub-components of resting state networks that covary with behavioral indices

Frontiers in Human Neuroscience

Volumn , Issue SEPTEMBER, 2012, Pages

  Meier, Timothy B ^a   Wildenberg, Joseph C ^a   Liu, Jingyu ^b,c   Chen, Jiayu ^b,c   Calhoun, Vince D ^b,c   Biswal, Bharat B ^d   Meyerand, Mary E ^a,e,f   Birn, Rasmus M ^a,e   Prabhakaran, Vivek ^a,e  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b MIND RESEARCH NETWORK   (United States)

^c University of New Mexico   (United States)

^d INSTITUTE OF OPHTHALMOLOGY AND VISUAL SCIENCE   (United States)

^e UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^f University of Wisconsin Madison   (United States)

Author keywords

Behavior; Parallel ICA; Resting state fMRI; Resting state networks

Indexed keywords

ADULT; ARTICLE; ATTENTION; BEHAVIOR CONTROL; BRAIN REGION; CONTROLLED STUDY; FEMALE; FREQUENCY MODULATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; INDEPENDENT COMPONENT ANALYSIS; INFERIOR FRONTAL GYRUS; MALE; NERVE POTENTIAL; NORMAL HUMAN; RESTING STATE NETWORK; SIMULATION; SPATIAL MEMORY; STIMULUS RESPONSE; TASK PERFORMANCE; VERBAL MEMORY; WORKING MEMORY;

EID: 84933672724     PISSN: 16625161     EISSN: 16625161     Source Type: Journal    
DOI: 10.3389/fnhum.2012.00281     Document Type: Article

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