Evidence map›Paper›PMID 40040843›Full record

ArticleBrain communications2025

Neural correlates of uncertainty processing in psychosis spectrum disorder.

Sophie Pauline Fromm, Lara Wieland, Alix Deneault, Andreas Heinz, Teresa Katthagen, Florian Schlagenhauf

Abstract read
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Sophie Pauline FrommDepartment of Psychiatry and Neuroscience, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, CCM, Berlin 10117, Germany.ORCID https://orcid.org/0000-0002-7985-9592
Lara WielandDepartment of Psychiatry and Neuroscience, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, CCM, Berlin 10117, Germany.
Alix DeneaultDepartment of Psychiatry and Neuroscience, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, CCM, Berlin 10117, Germany.
Andreas HeinzDepartment of Psychiatry and Neuroscience, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, CCM, Berlin 10117, Germany.
Teresa KatthagenDepartment of Psychiatry and Neuroscience, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, CCM, Berlin 10117, Germany.ORCID https://orcid.org/0000-0002-7537-4192
Florian SchlagenhaufDepartment of Psychiatry and Neuroscience, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, CCM, Berlin 10117, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychotic beliefs are typically held with high certainty. Altered computation of uncertainty about a belief and about environmental dynamics may be an underlying mechanism of psychotic symptoms. We set out to shed light on behavioural and neural correlates of uncertainty processing and how it drives belief updating in psychosis. This cross-sectional study included 19 participants with psychosis spectrum disorder (5 female and 14 male) and 40 healthy control participants (21 female and 19 male) between 18 and 65 years of age. Participants performed a predictive inference task that required belief updating of a noisy outcome in a suddenly changing environment during functional magnetic resonance imaging. Behavioural and imaging data were analysed with a computational model that approximates an ideal Bayesian observer. The model expects beliefs to be updated based on the relative belief uncertainty and environmental change point probability. Task performance, model parameters and associated neural activation were compared between groups and associated with self-reported delusional ideation and cognitive functioning. While the belief updating speed overall did not differ between groups, the psychosis group showed lower task performance. Lower performance was associated with higher self-reported delusional ideation, even when controlling for cognitive functioning. Persons with psychosis spectrum disorder tended to persevere on beliefs after large prediction errors that signal environmental changes. They informed belief updates less by the probability of environmental change points, although this capacity seemed to depend on general cognitive functioning. The psychosis group also encoded the change point probability less in the superior occipital and fusiform gyrus, as well as a cluster comprising pre-central to middle frontal gyrus. Activity in these clusters was associated with lower self-reported delusional ideation across the whole sample and lower general and negative symptoms in the clinical sample. Persons with psychosis spectrum disorder did not seem to overestimate environmental volatility in general. Instead, they showed altered processing of information that occurred after environmental change points, whose probability was less well represented in brain regions encoding visual surprise and motor responses. Possibly, persons with psychosis spectrum disorder inadequately integrated visual surprise signals, leading to ineffective transmission to motor regions that eventually guide behaviour. Summarizing, our study suggests that delusions could result from a tendency to stick to old beliefs even in the light of contrary evidence, due to a failure to integrate uncertainty information based on inferred environmental dynamics.

Indexed as

belief updatingcomputational modellingfMRIpsychosisreinforcement learning

Identifiers

PMID40040843
PMCPMC11879018

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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.