Impaired adaptation of learning to contingency volatility in internalizing psychopathology.

ABSTRACT: Using a contingency volatility manipulation, we tested the hypothesis that difficulty adapting probabilistic decision-making to second-order uncertainty might reflect a core deficit that cuts across anxiety and depression and holds regardless of whether outcomes are aversive or involve reward gain or loss. We used bifactor modeling of internalizing symptoms to separate symptom variance common to both anxiety and depression from that unique to each. Across two experiments, we modeled performance on a probabilistic decision-making under volatility task using a hierarchical Bayesian framework. Elevated scores on the common internalizing factor, with high loadings across anxiety and depression items, were linked to impoverished adjustment of learning to volatility regardless of whether outcome

SUBMITTER: Gagne C 

PROVIDER: S-EPMC7755392 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature