A Framework for Group Analysis of fMRI Data using Dynamic Bayesian Networks

Junning Li, Z. Jane Wang, Martin J. McKeown
2007 IEEE Engineering in Medicine and Biology Society. Conference Proceedings  
FMRI experiments are usually performed to make inferences about groups of subjects, but current group analysis methods for dynamic Bayesian networks (DBNs) do not easily allow incorporation of covariates of interest. In this paper, we propose a group-analysis method which uses multivariate analysis of variance (MANOVA) to address this issue. The method is performed in two stages: first, deriving a DBN connectivity network among brain regions for each subject separately; second, regressing the
more » ... nnectivity coefficients of DBNs to the factors of interest and performing MANOVA. A case study involving fMRI data from Parkinson's disease (PD) subjects yields promising results. Ten out of the thirteen potential connections between Regions of Interest (ROIs) which are associated with disease state are functionally improved after medication (Table I) , consistent with clinical observations. The results confirm that improvement in PD symptoms after medications is in part mediated by enhanced functional brain connectivity between brain regions.
doi:10.1109/iembs.2007.4353713 pmid:18003379 fatcat:lbknj6ut35e4vn66tw6frqq2l4