Connectome-based prediction of marital quality in husbands' processing of spousal interactions.

ABSTRACT: Marital quality may decrease during the early years of marriage. Establishing models predicting individualized marital quality may help develop timely and effective interventions to maintain or improve marital quality. Given that marital interactions have an important impact on marital well-being cross-sectionally and prospectively, neural responses during marital interactions may provide insight into neural bases underlying marital well-being. The current study applies connectome-based predictive modeling, a recently developed machine-learning approach, to functional magnetic resonance imaging (fMRI) data from both partners of 25 early-stage Chinese couples to examine whether an individual's unique pattern of brain functional connectivity (FC) when responding to spousal interactive behavi

SUBMITTER: Ma SS 

PROVIDER: S-EPMC9714425 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature