ArticleThe British journal of psychiatry : the journal of mental science2023
Modelling mood updating: a proof of principle study.
Article in The British journal of psychiatry : the journal of mental science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Somatosensory processing in long COVID fatigue and its relations with physiological and psychological factors.Experimental physiology · 2026Article
- The Dynamics of Mood in Bipolar Disorder: How Mathematical Models Help Phenotype Individuals, Forecast Mood, and Clarify Underlying Mechanisms.Current psychiatry reports · 2025Review
- Increasing the Construct Validity of Computational Phenotypes of Mental Illness Through Active Inference and Brain Imaging.Brain sciences · 2024Review
- Somatosensory processing in long COVID fatigue and its relations with physiological and psychological factors.Experimental physiology · 2024Article
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2 authors.
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Abstract
backgroundRecent developments in computational psychiatry have led to the hypothesis that mood represents an expectation (prior belief) on the likely interoceptive consequences of action (i.e. emotion). This stems from ideas about how the brain navigates its external world by minimising an upper bound on surprisal (free energy) of sensory information and echoes developments in other perceptual domains.
aimsIn this paper we aim to present a simple partial observable Markov decision process that models mood updating in response to stressful or non-stressful environmental fluctuations while seeking to minimise surprisal in relation to prior beliefs about the likely interoceptive signals experienced with specific actions (attenuating or amplifying stress and pleasure signals).
methodWe examine how, by altering these prior beliefs we can model mood updating in depression, mania and anxiety.
resultsWe discuss how these models provide a computational account of mood and its related psychopathology and relate it to previous research in reward processing.
conclusionsModels such as this can provide hypotheses for experimental work and also open up the potential modelling of predicted disease trajectories in individual patients.
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