Prediction of the Health-Risk Behavior by Using Dynamic Functional Connectivity

In order to investigate the brain network characteristics of the health-risk behavior, we collected fMRI data of 49 subjects under rest state. The fluctuation amplitude of dynamic functional connectivity is used as the features of support vector regression (SVR) to predict the health-risk behavior. The results show a good correlation between spontaneous fluctuation of rest state and the health-risk behavior. Some informational functional connectivities could be used to predict the health-risk behavior and they mainly locate among the connections of networks:mainly cingulo-opercular network, frontoparietal network, sensorimotor network, etc..