Independent Component Analysis of Resting-State FMRI Reveals Diminished Functional Connectivity in Callosal Dysgenesis

Yi-Ou Li¹, Fan-Pei Yang¹, Charvi Shetty¹, Sandya Venugopal¹, Polina Bukshpun¹, Mari Wakahiro¹, Elliott H. Sherr¹, Pratik Mukherjee¹

We perform a data-driven whole-brain analysis of resting state fMRI using independent component analysis (ICA) to a group of patients with partial or complete agenesis of corpus callosum (AgCC) and a group of normal controls. Our objective is to determine which resting state networks of AgCC patients have the greatest functional connectivity alterations relative to controls. Three cortical networks were identified with significantly reduced functional connectivity localized to the precuneus, the posterior cingulate, and the bilateral insular/perisylvian network. The results of the data-driven ICA analysis were verified using hypothesis-driven seed voxel correlation analysis.