Computational Mechanisms of Learning and Forgetting Differentiate Affective and Substance Use Disorders.

ABSTRACT: Depression and anxiety are common, highly co-morbid conditions associated with a range of learning and decision-making deficits. While the computational mechanisms underlying these deficits have received growing attention, the transdiagnostic vs. diagnosis-specific nature of these mechanisms remains insufficiently characterized. Individuals with affective disorders (iADs; i.e., depression with or without co-morbid anxiety; N=168 and 74, respectively) completed a widely-used decision-making task. To establish diagnostic specificity, we also incorporated data from a sample of individuals with substance use disorders (iSUDs; N=147) and healthy comparisons (HCs; N=54). Computational modeling afforded separate measures of learning and forgetting rates, among other parameters. Compared to HCs, f

SUBMITTER: Hakimi N 

PROVIDER: S-EPMC11581052 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature