Lai Xu1,2, Vince D. Calhoun1,2
1The MIND Research Network, Albuquerque, NM, USA; 2Electrical and Computer Engineering, The University of New Mexico, Albuquerque, NM, USA
In this study, we built a framework for jointly processing gray and white matter data which incorporates a complex-valued construction into source based morphometry (SBM) to identify the sources revealing relative gray and white matter group difference. The framework was applied to a large dataset from schizophrenia patients and healthy controls. Interestingly, some source patterns looked similar to functional MRI patterns which suggested structural brain information underlying functional areas might be identified. Our approach provides a way to jointly identify changes in both gray and white matter and may prove to be a useful tool to study the brain.