A Bayesian approach to modeling dynamic effective connectivity with fMRI data

NeuroImage

Volumn 30, Issue 3, 2006, Pages 794-812

  Bhattacharya, Sourabh ^a   Ringo Ho, Moon Ho ^b,c   Purkayastha, Sumitra ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

Bayes factor; Bayesian inference; Effective connectivity; Functional magnetic resonance imaging; Gibbs sampling; Human brain mapping; MCMC; Model selection

Indexed keywords

ARTICLE; BAYES THEOREM; BLOOD OXYGENATION; BRAIN CORTEX; BRAIN REGION; COMPARATIVE STUDY; DYNAMICS; EMPIRICISM; ERROR; FUNCTIONAL MAGNETIC RESONANCE IMAGING; MEASUREMENT; MODEL; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; STATISTICS;

ATTENTION; BAYES THEOREM; BRAIN; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; NERVE NET;

EID: 33645775748     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2005.10.019     Document Type: Article

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