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Impaired adaptation of learning to contingency volatility in internalizing psychopathology

Gagne, C., Zika, O., Dayan, P. and Bishop, S. J. (2020) Impaired adaptation of learning to contingency volatility in internalizing psychopathology. eLIFE, 9. ISSN 2050-084X

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To link to this item DOI: 10.7554/ELIFE.61387


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 outcomes involved reward gain, electrical stimulation, or reward loss. In particular, high common factor scores were linked to dampened learning following better-than-expected outcomes in volatile environments. No such relationships were observed for anxiety- or depression-specific symptom factors.

Item Type:Article
Divisions:Life Sciences > School of Psychology and Clinical Language Sciences > Department of Psychology
ID Code:98070
Publisher:eLife Sciences Publications


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