Jing Sui1, Vince D. Calhoun2
1The Mind Research Network, Albuquerque, NM, United States; 2Dept. of ECE, University of New Mexico, Albuquerque, NM, United States
In this work, we highlighted both similarities and differences between 2 modalities across 3 diagnostic groups by fusion of fMRI and DTI data. We proposed a multimodal fusion method, mCCA+jICA, which enabled more flexibilities in statistical assumptions. Most importantly, we are able to provide insights into the complex network between brain structure and functionwhich was not accessible from separate analysis of each modality. Our findings suggested although SZ and BP showed distinct brain patterns, they also shared common abnormalities in frontal brain mechanisms and in prefrontal thalamic white matter tracts, which may serve as potential illness biomarkers.