Inferring functional connectivity in MRI using Bayesian network structure learning with a modified PC algorithm

NeuroImage

Volumn 75, Issue , 2013, Pages 165-175

  Iyer, Swathi P ^a   Shafran, Izhak ^c   Grayson, David ^a,d   Gates, Kathleen ^e   Nigg, Joel T ^a   Fair, Damien A ^a,b  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^b OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^c Oregon Health and Science University Department of Biomedical Engineering   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Bayesian network; Directed functional connectivity; Effective connectivity; FMRI; PC algorithm

Indexed keywords

ALGORITHM; ARTICLE; BAYES THEOREM; BRAIN FUNCTION; BRAIN REGION; COMPUTER; CONTROLLED STUDY; CORRELATION ANALYSIS; DIFFUSION WEIGHTED IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INTERMETHOD COMPARISON; LEARNING; NERVE CELL NETWORK; PRIORITY JOURNAL; SIMULATION;

ADULT; ALGORITHMS; BAYES THEOREM; BRAIN; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; NEURAL PATHWAYS;

EID: 84875781969     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.02.054     Document Type: Article

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