Structural and functional brain networks of individual differences in trait anger and anger control: An unsupervised machine learning study.

ABSTRACT: The ability to experience, use and eventually control anger is crucial to maintain well-being and build healthy relationships. Despite its relevance, the neural mechanisms behind individual differences in experiencing and controlling anger are poorly understood. To elucidate these points, we employed an unsupervised machine learning approach based on independent component analysis to test the hypothesis that specific functional and structural networks are associated with individual differences in trait anger and anger control. Structural and functional resting state images of 71 subjects as well as their scores from the State-Trait Anger Expression Inventory entered the analyses. At a structural level, the concentration of grey matter in a network including ventromedial temporal areas, pos

SUBMITTER: Sorella S 

PROVIDER: S-EPMC9303475 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature