Joint Generative Model for fMRI/DWI and Its Application to Population Studies

Abstract. We propose a novel probabilistic framework to merge information from DWI tractography and resting-state fMRI correlations. In particular, we model the interaction of latent anatomical and functional connectivity templates between brain regions and present an intuitive extension to population studies. We employ a mean-field approximation to fit the new model to the data. The resulting algorithm identifies differences in latent connectivity between the groups. We demonstrate our method on a study of normal controls and schizophrenia patients.

• Type: Journal
• Year: 2010
• Where: MICCAI
• Authors: Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, Polina Golland
• Keywords: FMRI Correlations, Functional Connectivity, Latent Connectivity, Medical Imaging, MICCAI 2010