Relationship between nuclei-specific amygdala connectivity and mental health dimensions in humans.

ABSTRACT: There has been increasing interest in using neuroimaging measures to predict psychiatric disorders. However, predictions usually rely on large brain networks and large disorder heterogeneity. Thus, they lack both anatomical and behavioural specificity, preventing the advancement of targeted interventions. Here we address both challenges. First, using resting-state functional magnetic resonance imaging, we parcellated the amygdala, a region implicated in mood disorders, into seven nuclei. Next, a questionnaire factor analysis provided subclinical mental health dimensions frequently altered in anxious-depressive individuals, such as negative emotions and sleep problems. Finally, for each behavioural dimension, we identified the most predictive resting-state functional connectivity between in

SUBMITTER: Klein-Flugge MC 

PROVIDER: S-EPMC7613949 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature