Evidence map›Paper›PMID 37830405›Full record

ArticleSchizophrenia bulletin2024

Evidence for Reduced Sensory Precision and Increased Reliance on Priors in Hallucination-Prone Individuals in a General Population Sample.

David Benrimoh, Victoria L Fisher, Rashina Seabury, Ely Sibarium, Catalina Mourgues, Doris Chen, Albert Powers

Abstract read
In one paragraph

Article in Schizophrenia bulletin, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025
    Review
  7. Review
  8. The Future of Perceptual Dysregulation in Psychiatric Nosology.Current topics in behavioral neurosciences · 2025
    Review
  9. Article
  10. Article
  11. Evidence for a Primary Prior Deficit as a Mechanism of Auditory Hallucinations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    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

7 authors.

David BenrimohDepartment of Psychiatry, McGill University School of Medicine, Montreal, Canada.
Victoria L FisherYale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA.
Rashina SeaburyYale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA.
Ely SibariumYale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA.
Catalina MourguesYale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA.
Doris ChenYale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA.
Albert PowersYale University School of Medicine and the Connecticut Mental Health Center, New Haven, CT, USA.ORCID 0000-0003-3057-5043

Funding

PREMAP - Predictors and Risk Evaluation for Menopause-Associated PsychosisR01MH131768 · NIMH · YALE UNIVERSITY · PI Albert R Powers · 2023 to 2026
$3.6M
Neural Mechanisms of Voluntary Control Over HallucinationsR01MH129721 · NIMH · YALE UNIVERSITY · PI POWERS, ALBERT R · 2022 to 2024
$2.5M
A Hearing Test for Hallucinations: Toward Development of Computational Markers for Early DiagnosisK23MH115252 · NIMH · YALE UNIVERSITY · PI POWERS, ALBERT R · 2018 to 2022
$983k
Toward a Computationally-Informed, Personalized Treatment for HallucinationsR21MH122940 · NIMH · YALE UNIVERSITY · PI POWERS, ALBERT R · 2020 to 2021
$404k
NIMH NIH HHS K23 MH115252NIMH NIH HHS K23MH115252-01A1NIMH NIH HHS R01 MH129721NIMH NIH HHS R01 MH131768NIMH NIH HHS R21 MH122940Wellcome Trust
6 · The paper itself

Abstract

backgroundThere is increasing evidence that people with hallucinations overweight perceptual beliefs relative to incoming sensory evidence. Past work demonstrating prior overweighting has used simple, nonlinguistic stimuli. However, auditory hallucinations in psychosis are often complex and linguistic. There may be an interaction between the type of auditory information being processed and its perceived quality in engendering hallucinations. STUDY

designWe administered a linguistic version of the conditioned hallucinations (CH) task to an online sample of 88 general population participants. Metrics related to hallucination-proneness, hallucination severity, stimulus thresholds, and stimulus detection rates were collected. Data were used to fit parameters of a Hierarchical Gaussian Filter (HGF) model of perceptual inference to determine how latent perceptual states influenced task behavior. STUDY

resultsReplicating past results, higher CH rates were observed both in those with recent hallucinatory experiences as well as participants with high hallucination-proneness; CH rates were positively correlated with increased prior weighting; and increased prior weighting was related to hallucination severity. Unlike past results, participants with recent hallucinatory experiences as well as those with higher hallucination-proneness had higher stimulus thresholds, lower sensitivity to stimuli presented at the highest threshold, and had lower response confidence, consistent with lower precision of sensory evidence.

conclusionsWe replicate the finding that increased CH rates and recent hallucinations correlate with increased prior weighting using a linguistic version of the CH task. Results support a role for reduced sensory precision in the interplay between prior weighting and hallucination-proneness.

Indexed as

HallucinationsPsychotic DisordersHumansconditioned hallucinationshallucinationpriors

Identifiers

PMID37830405
PMCPMC10919780

What OpenQuestion holds

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Registered trials

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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.