Belief updating in bipolar disorder predicts time of recurrence

Ossola, Paolo, Garrett, Neil ORCID:, Sharot, Tali and Marchesi, Carlo (2020) Belief updating in bipolar disorder predicts time of recurrence. eLife, 9. ISSN 2050-084X

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Bipolar disorder is a chronic relapsing condition in which mood episodes are interspersed with periods of wellbeing (euthymia). Shorter periods of euthymia are associated with poorer functioning, so it is crucial to identify predictors of relapse to facilitate treatment. Here, we test the hypothesis that specific valence-dependent learning patterns emerge prior to the clinical manifestation of a relapse, predicting its timing. The ability to update beliefs in response to positive and negative information was quantified in bipolar patients during euthymia, who were then monitored for 5 years. We found that reduced tendency to update beliefs in response to positive relative to negative information predicted earlier relapse. Less updating in response to positive information may generate pessimistic beliefs, which in turn can lead to more severe prodromal symptoms (e.g. sleep disturbance, irritability etc.). The results suggest that measuring valence-dependent belief updating could facilitate risk prediction in bipolar disorder.

Item Type: Article
Additional Information: Funding Information: Ministry of Education, University and Research D.R.LXXXIII-887-21/05/2014 Paolo Ossola, Wellcome Trust Senior Research Fellowship 214268/Z/18/Z Tali Sharot, Sir Henry Wellcome Postdoctoral Fellowship 209108/Z/17/Z Neil Garrett.
Uncontrolled Keywords: neuroscience(all),biochemistry, genetics and molecular biology(all),immunology and microbiology(all) ,/dk/atira/pure/subjectarea/asjc/2800
Faculty \ School: Faculty of Social Sciences > School of Psychology
UEA Research Groups: Faculty of Social Sciences > Research Groups > Cognition, Action and Perception
Faculty of Social Sciences > Research Groups > Social Cognition Research Group
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Depositing User: LivePure Connector
Date Deposited: 09 Oct 2021 01:03
Last Modified: 23 Oct 2022 03:06
DOI: 10.7554/elife.58891


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