Analysis of Bipolar Disorder Using fMRI

Abstract

In this work, a framework has been developed to analyse bipolar disorder using fMRI based on brain regional activity measurements. Eight brain regions have been considered in this study i.e. frontal lobe, temporal lobe, lentiform nucleus, insular, thalamus, caudate nucleus, parietal, and occipital regions. Initially, functional points are marked using independent component analysis and correlation coefficients established their connectivity. Based on the strength of the interregional connectivity, the activated points have been located the activated points using Hierarchical Modular Analysis and constructed network between the activated points of each brain regions. Extraction of Five feature descriptors i.e. centrality page rank and centrality degree, centrality closeness, assortativity and clustering coefficients have been done. Diagnosis operation is performed by heterogenous adaboost classifier. It was found that this work had given 94.2% accuracy which is comparatively better than earlier research works.