ArticleComputational psychiatry (Cambridge, Mass.)2024
Altered Perception of Environmental Volatility During Social Learning in Emerging Psychosis.
Article in Computational psychiatry (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Social expectations in early-stage psychosis: Less stereotypical facial expression predictions.Schizophrenia research. Cognition · 2026Article
- A Dual Prediction Error Populations Model of Schizophrenia Spectrum Disorders: Bridging NMDA Hypofunction and Gain Hyperfunction.Schizophrenia bulletin · 2026Article
- Threading the Needle: Practical Considerations for Merging Theory-Driven Computational Psychiatry With Data-Driven Analytics to Enhance Precision Health at Scale.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Review
- The Impact of Prior Beliefs about Volatility on Adaptive Behavior.Journal of cognition · 2026Article
- Neural Dynamics of Social Cognition: A Single-Trial Computational Analysis of Learning Under Uncertainty.Human brain mapping · 2026Article
- Differential Impact of Social and Non-social Cues on Decision-making Across At-risk Mental State, Early Psychosis, and Healthy Participants.Schizophrenia bulletin open · 2026Article
- Reduced weighting of short-term perceptual priors during auditory perceptual decision-making in psychosis-prone individuals.BMC biology · 2025Article
- Excitation/inhibition imbalance and conversion to psychosis in the clinical high risk syndrome: Biophysical modeling finds reduced pyramidal cell excitability across EEG paradigms.medRxiv : the preprint server for health sciences · 2025Article
- The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025Review
- Beyond reward learning deficits: Exploration-exploitation instability reveals computational heterogeneity in value-based decision making in early psychosis.medRxiv : the preprint server for health sciences · 2025Article
- Localizing hierarchical prediction errors and precisions during an oddball task with volatility: Computational insights and relationship with psychosocial functioning in healthy individuals.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Different learning aberrations relate to delusion-like beliefs with different contents.Brain : a journal of neurology · 2024Article
- Understanding Cognitive Behavioral Therapy for Psychosis Through the Predictive Coding Framework.Biological psychiatry global open science · 2024Review
- Exploring the relationship between frequent cannabis use, belief updating under uncertainty and psychotic-like symptoms.Frontiers in psychiatry · 2024Article
- (Mal)adaptive Mentalizing in the Cognitive Hierarchy, and Its Link to Paranoia.Computational psychiatry (Cambridge, Mass.) · 2024Article
- Altered Perception of Environmental Volatility During Social Learning in Emerging Psychosis.Computational psychiatry (Cambridge, Mass.) · 2024Article
- Test-retest reliability of behavioral and computational measures of advice taking under volatility.PloS one · 2024Article
- D2/D3 dopamine supports the precision of mental state inferences and self-relevance of joint social outcomes.Nature. Mental health · 2024Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Paranoid delusions or unfounded beliefs that others intend to deliberately cause harm are a frequent and burdensome symptom in early psychosis, but their emergence and consolidation still remains opaque. Recent theories suggest that overly precise prediction errors lead to an unstable model of the world providing a breeding ground for delusions. Here, we employ a Bayesian approach to test for such an unstable model of the world and investigate the computational mechanisms underlying emerging paranoia. We modelled behaviour of 18 first-episode psychosis patients (FEP), 19 individuals at clinical high risk for psychosis (CHR-P), and 19 healthy controls (HC) during an advice-taking task designed to probe learning about others' changing intentions. We formulated competing hypotheses comparing the standard Hierarchical Gaussian Filter (HGF), a Bayesian belief updating scheme, with a mean-reverting HGF to model an altered perception of volatility. There was a significant group-by-volatility interaction on advice-taking suggesting that CHR-P and FEP displayed reduced adaptability to environmental volatility. Model comparison favored the standard HGF in HC, but the mean-reverting HGF in CHR-P and FEP in line with perceiving increased volatility, although model attributions in CHR-P were heterogeneous. We observed correlations between perceiving increased volatility and positive symptoms generally as well as with frequency of paranoid delusions specifically. Our results suggest that FEP are characterised by a different computational mechanism - perceiving the environment as increasingly volatile - in line with Bayesian accounts of psychosis. This approach may prove useful to investigate heterogeneity in CHR-P and identify vulnerability for transition to psychosis.
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Registered trials
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.