Evidence map›Paper›PMID 30388260›Full record

ReviewSchizophrenia bulletin2019

Towards a Unifying Cognitive, Neurophysiological, and Computational Neuroscience Account of Schizophrenia.

Andreas Heinz, Graham K Murray, Florian Schlagenhauf, Philipp Sterzer, Anthony A Grace, James A Waltz

Abstract readReview
In one paragraph

Review in Schizophrenia bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 3 pooled it
–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

62 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  7. An etiological approach to psychosis: potential benefits for treatment, research and prevention.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026
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2 more citing papers are in PubMed but not listed here.

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

6 authors.

Andreas HeinzDepartment of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Graham K MurrayDepartment of Psychiatry, University of Cambridge, Cambridgeshire, UK.
Florian SchlagenhaufDepartment of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Philipp SterzerDepartment of Psychiatry and Psychotherapy, Charité Campus Mitte, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Anthony A GraceDepartment of Neuroscience, University of Pittsburgh, Pittsburgh, PA.
James A WaltzMaryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD.

Funding

Reward System Function as a Potential Mediator of the Impact of Stress on Psychopathology: A Computational Neuroimaging StudyR01MH115031 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI WALTZ, JAMES A · 2018 to 2022
$2.6M
Neurocomputational and fMRI Studies of Motivational Deficits in SchizophreniaR01MH094460 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI WALTZ, JAMES A · 2012 to 2016
$1.7M
NIMH NIH HHS R01 MH094460NIMH NIH HHS R01 MH115031
6 · The paper itself

Abstract

Psychotic experiences may be understood as altered information processing due to aberrant neural computations. A prominent example of such neural computations is the computation of prediction errors (PEs), which signal the difference between expected and experienced events. Among other areas showing PE coding, hippocampal-prefrontal-striatal neurocircuits play a prominent role in information processing. Dysregulation of dopaminergic signaling, often secondary to psychosocial stress, is thought to interfere with the processing of biologically important events (such as reward prediction errors) and result in the aberrant attribution of salience to irrelevant sensory stimuli and internal representations. Bayesian hierarchical predictive coding offers a promising framework for the identification of dysfunctional neurocomputational processes and the development of a mechanistic understanding of psychotic experience. According to this framework, mismatches between prior beliefs encoded at higher levels of the cortical hierarchy and lower-level (sensory) information can also be thought of as PEs, with important consequences for belief updating. Low levels of precision in the representation of prior beliefs relative to sensory data, as well as dysfunctional interactions between prior beliefs and sensory data in an ever-changing environment, have been suggested as a general mechanism underlying psychotic experiences. Translating the promise of the Bayesian hierarchical predictive coding into patient benefit will come from integrating this framework with existing knowledge of the etiology and pathophysiology of psychosis, especially regarding hippocampal-prefrontal-striatal network function and neural mechanisms of information processing and belief updating.

Indexed as

Schizophrenic PsychologyBayes TheoremBrainCognitionCognitive NeuroscienceCorpus StriatumDelusionsDopamineHippocampusHumansLearningLimbic LobeModels, NeurologicalModels, PsychologicalNeural PathwaysNeurophysiologyDopaminecomputational modelingdelusionsdopaminehallucinationsprediction errorrewardschizophrenia

Identifiers

PMID30388260
PMCPMC6737474

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.