Literature DB >> 31495701

Inflexible social inference in individuals with subclinical persecutory delusional tendencies.

Katharina V Wellstein1, Andreea Oliviana Diaconescu2, Martin Bischof3, Annia Rüesch4, Gina Paolini5, Eduardo A Aponte6, Johannes Ullrich7, Klaas Enno Stephan8.   

Abstract

It has been suspected that abnormalities in social inference (e.g., learning others' intentions) play a key role in the formation of persecutory delusions (PD). In this study, we examined the association between subclinical PD and social inference, testing the prediction that proneness to PD is related to altered social inference and beliefs about others' intentions. We included 151 participants scoring on opposite ends of Freeman's Paranoia Checklist (PCL). The participants performed a probabilistic advice-taking task with a dynamically changing social context (volatility) under one of two experimental frames. These frames differentially emphasised possible reasons behind unhelpful advice: (i) the adviser's possible intentions (dispositional frame) or (ii) the rules of the game (situational frame). Our design was thus 2 × 2 factorial (high vs. low delusional tendencies, dispositional vs. situational frame). We found significant group-by-frame interactions, indicating that in the situational frame high PCL scorers took advice less into account than low scorers. Additionally, high PCL scorers believed more frequently that incorrect advice was delivered intentionally and that such misleading behaviour was directed towards them personally. Overall, our results suggest that social inference in individuals with subclinical PD tendencies is shaped by negative prior beliefs about the intentions of others and is thus less sensitive to the attributional framing of adviser-related information. These findings may help future attempts of identifying individuals at risk for developing psychosis and understanding persecutory delusions in psychosis.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Delusion; Dimensional psychiatry; Inference; Persecutory ideation; Psychosis; Social cognition; Social learning

Year:  2019        PMID: 31495701     DOI: 10.1016/j.schres.2019.08.031

Source DB:  PubMed          Journal:  Schizophr Res        ISSN: 0920-9964            Impact factor:   4.939


  7 in total

1.  Statistical Learning and Inference Is Impaired in the Nonclinical Continuum of Psychosis.

Authors:  Ilvana Dzafic; Roshini Randeniya; Clare D Harris; Moritz Bammel; Marta I Garrido
Journal:  J Neurosci       Date:  2020-07-20       Impact factor: 6.167

Review 2.  Rethinking delusions: A selective review of delusion research through a computational lens.

Authors:  Brandon K Ashinoff; Nicholas M Singletary; Seth C Baker; Guillermo Horga
Journal:  Schizophr Res       Date:  2021-03-03       Impact factor: 4.662

3.  Trusting and learning from others: immediate and long-term effects of learning from observation and advice.

Authors:  Uri Hertz; Vaughan Bell; Nichola Raihani
Journal:  Proc Biol Sci       Date:  2021-10-20       Impact factor: 5.349

4.  Empathy, Emotion Recognition, and Paranoia in the General Population.

Authors:  Kendall Beals; Sarah H Sperry; Julia M Sheffield
Journal:  Front Psychol       Date:  2022-02-24

Review 5.  Models of Dynamic Belief Updating in Psychosis-A Review Across Different Computational Approaches.

Authors:  Teresa Katthagen; Sophie Fromm; Lara Wieland; Florian Schlagenhauf
Journal:  Front Psychiatry       Date:  2022-04-12       Impact factor: 5.435

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

Authors:  Joseph M Barnby; Mitul A Mehta; Michael Moutoussis
Journal:  PLoS Comput Biol       Date:  2022-07-25       Impact factor: 4.779

7.  Reduction in social learning and increased policy uncertainty about harmful intent is associated with pre-existing paranoid beliefs: Evidence from modelling a modified serial dictator game.

Authors:  Joseph M Barnby; Vaughan Bell; Mitul A Mehta; Michael Moutoussis
Journal:  PLoS Comput Biol       Date:  2020-10-15       Impact factor: 4.475

  7 in total

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