Prediction of childhood maltreatment and subtypes with personalized functional connectome of large-scale brain networks.

ABSTRACT: Childhood maltreatment (CM) has a long impact on physical and mental health of children. However, the neural underpinnings of CM are still unclear. In this study, we aimed to establish the associations between functional connectome of large-scale brain networks and influences of CM evaluated through Childhood Trauma Questionnaire (CTQ) at the individual level based on resting-state functional magnetic resonance imaging data of 215 adults. A novel individual functional mapping approach was employed to identify subject-specific functional networks and functional network connectivities (FNCs). A connectome-based predictive modeling (CPM) was used to estimate CM total and subscale scores using individual FNCs. The CPM established with FNCs can well predict CM total scores and subscale scores i

SUBMITTER: Zhang J 

PROVIDER: S-EPMC9491288 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature