The contribution of brain structural and functional variance in predicting age, sex and treatment

National Key R&D Program of China

PI：Prof. Chao-Gan Yan

The present study aim to directly investigate respective roles of brain structural and functional indices, along with their contributions in the prediction of demographic variables (age/sex) and clinical changes of schizophrenia patients. We utilized a model fit test with two variables (one voxel-based structural metric and another voxel-based functional metric) and then performed a variance partitioning on the voxels that can be predicted sufficiently. We could then compare the structural and functional contribution to predict the dependent variable, as well as their shared contribution. Our findings can further give us suggestions about how to select structural or functional metrics on different research topics.