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

Citation:

Venkataraman A, Rathi Y, Kubicki M, Westin C-F, Golland P. Joint generative model for fMRI/DWI and its application to population studies. Med Image Comput Comput Assist Interv. 2010;13 (Pt 1) :191-9.

Date Published:

2010

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 01/24/2017