Evidence map›Paper›PMID 38509135›Full record

ArticleSchizophrenia (Heidelberg, Germany)2024

Visualizing threat and trustworthiness prior beliefs in face perception in high versus low paranoia.

Antonia Bott, Hanna C Steer, Julian L Faße, Tania M Lincoln

Abstract read
In one paragraph

Article in Schizophrenia (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Antonia BottClinical Psychology and Psychotherapy, Faculty of Psychology and Human Movement Science, Universität Hamburg, Hamburg, Germany. antonia.bott@uni-hamburg.de.ORCID http://orcid.org/0000-0003-4670-2844
Hanna C SteerClinical Psychology and Psychotherapy, Faculty of Psychology and Human Movement Science, Universität Hamburg, Hamburg, Germany.
Julian L FaßeClinical Psychology and Psychotherapy, Faculty of Psychology and Human Movement Science, Universität Hamburg, Hamburg, Germany.
Tania M LincolnClinical Psychology and Psychotherapy, Faculty of Psychology and Human Movement Science, Universität Hamburg, Hamburg, Germany.ORCID http://orcid.org/0000-0002-6674-2440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictive processing accounts of psychosis conceptualize delusions as overly strong learned expectations (prior beliefs) that shape cognition and perception. Paranoia, the most prevalent form of delusions, involves threat prior beliefs that are inherently social. Here, we investigated whether paranoia is related to overly strong threat prior beliefs in face perception. Participants with subclinical levels of high (n = 109) versus low (n = 111) paranoia viewed face stimuli paired with written descriptions of threatening versus trustworthy behaviors, thereby activating their threat versus trustworthiness prior beliefs. Subsequently, they completed an established social-psychological reverse correlation image classification (RCIC) paradigm. This paradigm used participants' responses to randomly varying face stimuli to generate individual classification images (ICIs) that intend to visualize either facial prior belief (threat vs. trust). An independent sample (n = 76) rated these ICIs as more threatening in the threat compared to the trust condition, validating the causal effect of prior beliefs on face perception. Contrary to expectations derived from predictive processing accounts, there was no evidence for a main effect of paranoia. This finding suggests that paranoia was not related to stronger threat prior beliefs that directly affected face perception, challenging the assumption that paranoid beliefs operate on a perceptual level.

Identifiers

PMID38509135
PMCPMC10954723

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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.