Establishing Effective Connectivity in Brain using Dynamic Bayesian Network

Abstract: Dynamic connectivity is shown essential for normal brain function. It is difficult to develop model for inferring brain effective connectivity from non invasive (fMRI) data. Author prefers DBN because its suitability and flexibility and it has solid base on statics. the proposed method detect the statistically significant, biological plausible connectivity between task related region of interest(ROIs) that difference between schizophrenic and normal subject, finding more knowledge which consist of prior neuroscience knowledge. Determine highly reproducible DBN node/edges across subjects seem promising for inferring altered functional connectivity within a group.

Keywords: Dynamic Bayesian Network, fMRI, Causal Modeling, BIC, Effective Connectivity, MDL, AIC