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Many symptoms of brain diseases may be caused by altered connectivity between brain regions, necessitating the development of suitable models for inferring effective connectivity in fMRI. Inspired by recent graphical approaches for inferring connectivity, here we propose dynamic Bayesian networks (DBNs) for learning the effective connectivity between a priori specified brain regions of interest (ROIs)...
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