Identifying functional co-activation patterns in neuroimaging studies via poisson graphical models

Biometrics

Volumn 70, Issue 4, 2014, Pages 812-822

  Xue, Wenqiong ^a,b   Kang, Jian ^a,c   Bowman, F Dubois ^d   Wager, Tor D ^e   Guo, Jian ^f  

^a EMORY UNIVERSITY   (United States)

^b BOEHRINGER INGELHEIM PHARMACEUTICALS INC   (United States)

^c EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d University of Colorado ^*  (United States)

^e UNIVERSITY OF COLORADO   (United States)

^f HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

EM algorithm; Emotion; Functional brain networks; Functional co activation pattern identification; Poisson graphical model

Indexed keywords

BRAIN; CHEMICAL ACTIVATION; FUNCTIONAL NEUROIMAGING; GRAPHIC METHODS; MAXIMUM LIKELIHOOD ESTIMATION; MAXIMUM PRINCIPLE;

ACTIVATION PATTERNS; BRAIN NETWORKS; CO ACTIVATION; CO-ACTIVATION; EMOTION; EXPECTATIONS MAXIMIZATION ALGORITHMS; FUNCTIONAL BRAIN NETWORK; FUNCTIONAL CO-ACTIVATION PATTERN IDENTIFICATION; GRAPHICAL MODEL; PATTERN IDENTIFICATION; POISSON GRAPHICAL MODEL;

COVARIANCE MATRIX;

AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; EMOTION; HUMAN; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; POISSON DISTRIBUTION; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; EMOTIONS; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE NET; PATTERN RECOGNITION, AUTOMATED; POISSON DISTRIBUTION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84919674098     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12216     Document Type: Article

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