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

A. Venkataraman, Y. Rathi, M. Kubicki, C. F. Westin, P. Golland
Medical Image Computing and Computer Assisted Intervention
Volume 13, Pages 191-199

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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.


Venkataraman A, Rathi Y, Kubicki M, Westin CF, Golland P. Joint generative model for fmri/dwi and its application to population studies. In Medical Image Computing and Computer Assisted Intervention, volume 13. 2010;191-199.


P41 RR13218, R01 MH074794, U54 EB005149

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