Joint generative model for fMRI/DWI and its application to population studies

Archana Venkataraman, Yogesh Rathi, Marek Kubicki, Carl-Fredrik Westin, and Polina Golland. 2010. Joint generative model for fMRI/DWI and its application to population studies. Med Image Comput Comput Assist Interv, 13, Pt 1, Pp. 191-9.
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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.
Last updated on 02/24/2023