Evidence map›Paper›PMID 39710316›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2025

Delusional Unreality and Predictive Processing.

Santiago Castiello, Rosa Rossi-Goldthorpe, Siyan Fan, Joshua Kenney, James A Waltz, Molly Erickson, Sonia Bansal, James M Gold, Philip R Corlett

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Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 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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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Santiago CastielloWu Tsai Institute, Yale University, New Haven, Connecticut.
Rosa Rossi-GoldthorpeWu Tsai Institute, Yale University, New Haven, Connecticut.
Siyan FanWu Tsai Institute, Yale University, New Haven, Connecticut.
Joshua KenneyWu Tsai Institute, Yale University, New Haven, Connecticut.
James A WaltzSchool of Medicine, University of Maryland, Baltimore, Maryland.
Molly EricksonDivision of the Biological Sciences, University of Chicago, Chicago, Illinois.
Sonia BansalSchool of Medicine, University of Maryland, Baltimore, Maryland.
James M GoldSchool of Medicine, University of Maryland, Baltimore, Maryland.
Philip R CorlettWu Tsai Institute, Yale University, New Haven, Connecticut. Electronic address: philip.corlett@yale.edu.

Funding

Predictive Coding as a Framework for Understanding PsychosisR01MH112887 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI CORLETT, PHILIP, GOLD, JAMES M. · 2018 to 2022
$3.6M
5/5 CAPER: Computerized Assessment of Psychosis RiskR01MH120089 · NIMH · YALE UNIVERSITY · PI CORLETT, PHILIP, WOODS, SCOTT W · 2020 to 2024
$3.1M
NIMH NIH HHS R01 MH112887NIMH NIH HHS R01 MH120089
6 · The paper itself

Abstract

backgroundPhenomenological psychopathologists have recently highlighted how people with delusions experience multiple realities (delusional and nondelusional) and have suggested that this double bookkeeping cannot be explained via predictive processing. Here, we present data from Kamin blocking and extinction learning that show how predictive processing might, in principle, explain a pervasive sense of dual reality.

methodsThis cross-sectional study involved 3 participant groups: patients with schizophrenia (SZ) (n = 42), healthy participants with elevated esoteric beliefs (EEBs) (clairaudient psychics) (n = 31), and healthy control participants (HCs) with neither illness nor significant delusional ideation (n = 62). We examined belief formation using a Kamin blocking causal learning task with extinction and delusions with the 40-item Peters Delusion Inventory, specifically the unreality item "Do things around you ever feel unreal, as though it was all part of an experiment?" as a proxy for unreality experiences and beliefs. A clinician also assessed symptoms with a structured clinical interview.

resultsSome people with SZ did not report a sense of unreality, and some people with elevated esoteric beliefs (but no psychotic illness) reported unreality experiences. No HCs reported them (despite reporting other delusion-like beliefs). Unreality experiences in clinical delusions and nonclinical delusion-like beliefs were associated with different types of aberrant prediction error processing.

conclusionsThese data suggest how predictive processing may explain the sense of unreality. They indicate that different prediction error dysfunctions are associated with delusions with different contents. In this case, we have used predictive processing to address a salient issue raised by our phenomenological colleagues, namely the impact of psychosis on experiences of and beliefs about reality.

Indexed as

DelusionsSchizophreniaSchizophrenic PsychologyAdultCross-Sectional StudiesExtinction, PsychologicalFemaleHumansMaleMiddle AgedComputational psychiatryDelusionsKamin blockingLearningPrediction errorReality

Identifiers

PMID39710316
PMCPMC12179324

What Socratic holds

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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 Socratic graph.