Using a generative model of affect to characterize affective variability and its response to treatment in bipolar disorder.

ABSTRACT: The affective variability of bipolar disorder (BD) is thought to qualitatively differ from that of borderline personality disorder (BPD), with changes in affect persisting longer in BD. However, quantitative studies have not been able to confirm this distinction. It has therefore not been possible to accurately quantify how treatments like lithium influence affective variability in BD. We assessed the affective variability associated with BD and BPD as well as the effect of lithium using a computational model that defines two subtypes of variability: affective changes that persist (volatility) and changes that do not (noise). We hypothesized that affective volatility would be raised in the BD group, noise would be raised in the BPD group, and that lithium would impact affective volatility.

SUBMITTER: Pulcu E 

PROVIDER: S-EPMC9282445 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature