Evidence map›Paper›PMID 35877675›Full record

ArticlePLoS computational biology2022

The computational relationship between reinforcement learning, social inference, and paranoia.

Joseph M Barnby, Mitul A Mehta, Michael Moutoussis

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Trial
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  4. Validation of the Eight-Item Paranoid Thoughts Scale (GPTS-8) in Tunisian Arab Adults.International journal of methods in psychiatric research · 2025
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  12. Value Representations of Spite Sensitivity in Psychosis on the Minnesota Trust Game.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024
    Article
  13. Article
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  19. The Specificity of Paranoia and Uncertainty.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Joseph M BarnbyDepartment of Psychology, Royal Holloway, University of London, London, United Kingdom.ORCID 0000-0001-6002-1362
Mitul A MehtaCultural and Social Neuroscience Group, Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, University of London, London, United Kingdom.ORCID 0000-0003-1152-5323
Michael MoutoussisWellcome Centre for Human Neuroimaging, University College London, London, United Kingdom.

Funding

Medical Research Council MR/N013700/1Wellcome TrustWellcome Trust 095844/7/11/Z
6 · The paper itself

Abstract

Theoretical accounts suggest heightened uncertainty about the state of the world underpin aberrant belief updates, which in turn increase the risk of developing a persecutory delusion. However, this raises the question as to how an agent's uncertainty may relate to the precise phenomenology of paranoia, as opposed to other qualitatively different forms of belief. We tested whether the same population (n = 693) responded similarly to non-social and social contingency changes in a probabilistic reversal learning task and a modified repeated reversal Dictator game, and the impact of paranoia on both. We fitted computational models that included closely related parameters that quantified the rigidity across contingency reversals and the uncertainty about the environment/partner. Consistent with prior work we show that paranoia was associated with uncertainty around a partner's behavioural policy and rigidity in harmful intent attributions in the social task. In the non-social task we found that pre-existing paranoia was associated with larger decision temperatures and commitment to suboptimal cards. We show relationships between decision temperature in the non-social task and priors over harmful intent attributions and uncertainty over beliefs about partners in the social task. Our results converge across both classes of model, suggesting paranoia is associated with a general uncertainty over the state of the world (and agents within it) that takes longer to resolve, although we demonstrate that this uncertainty is expressed asymmetrically in social contexts. Our model and data allow the representation of sociocognitive mechanisms that explain persecutory delusions and provide testable, phenomenologically relevant predictions for causal experiments.

Indexed as

Paranoid DisordersSocial LearningDelusionsHumansLearningUncertainty

Identifiers

PMID35877675
PMCPMC9352206

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.