Learning effective brain connectivity with dynamic Bayesian networks

NeuroImage

Volumn 37, Issue 3, 2007, Pages 749-760

  Rajapakse, Jagath C ^a,b   Zhou, Juan ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b SINGAPORE MIT ALLIANCE   (Singapore)

Author keywords

Bayesian networks; Causal effects; Dynamic Bayesian networks; Effective connectivity; Functional MRI; Hemodynamic response function; Markov chain Monte Carlo methods; Markov chains

Indexed keywords

ARTICLE; BAYESIAN LEARNING; BRAIN FUNCTION; BRAIN REGION; CELL INTERACTION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HEMODYNAMICS; NERVE CELL NETWORK; NOISE; PERFORMANCE; PRIORITY JOURNAL; PROBABILITY; STATISTICAL ANALYSIS; TEMPORAL SUMMATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BRAIN; HUMANS; MAGNETIC RESONANCE IMAGING; NERVE NET; NEURAL PATHWAYS; PATTERN RECOGNITION, AUTOMATED; READING;

EID: 34547839743     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2007.06.003     Document Type: Article

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