Evidence map›Paper›PMID 27226342›Full record

ReviewJournal of psychopharmacology (Oxford, England)2016

Prediction error, ketamine and psychosis: An updated model.

Philip R Corlett, Garry D Honey, Paul C Fletcher

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of psychopharmacology (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
10.1field-weighted citation impact, top 1% of its field
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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 146 citations in OpenAlex.

  1. Pooled it
  2. Ketamine reduces the neural distinction between self- and other-produced affective touch: a randomized double-blind placebo-controlled study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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  17. Ketamine, an Old-New Drug: Uses and Abuses.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
  18. Reinforcement learning deficits exhibited by postnatal PCP-treated rats enable deep neural network classification.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
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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

3 authors at 3 institutions in 3 countries.

Philip R CorlettDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Garry D HoneyRoche Switzerland, Basel, Switzerland.
Paul C FletcherDepartment of Psychiatry, University of Cambridge, Cambridge, UK philip.corlett@yale.edu.
Roche (Switzerland) · CHUniversity of Cambridge · GBYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale University Clinical and Translational Science Award ProgramUL1TR000142 · NCATS · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2012 to 2015
$31.8M
Pathophysiology of Auditory HallucinationsR01MH067073 · NIMH · YALE UNIVERSITY · PI CORLETT, PHILIP · 2003 to 2015
$3.0M
Medical Research Council MC_UU_12012/5NCATS NIH HHS UL1 TR000142NCATS NIH HHS UL1 TR001863NIMH NIH HHS R01 MH067073Wellcome Trust 093875
6 · The paper itself

Abstract

In 2007, we proposed an explanation of delusion formation as aberrant prediction error-driven associative learning. Further, we argued that the NMDA receptor antagonist ketamine provided a good model for this process. Subsequently, we validated the model in patients with psychosis, relating aberrant prediction error signals to delusion severity. During the ensuing period, we have developed these ideas, drawing on the simple principle that brains build a model of the world and refine it by minimising prediction errors, as well as using it to guide perceptual inferences. While previously we focused on the prediction error signal per se, an updated view takes into account its precision, as well as the precision of prior expectations. With this expanded perspective, we see several possible routes to psychotic symptoms - which may explain the heterogeneity of psychotic illness, as well as the fact that other drugs, with different pharmacological actions, can produce psychotomimetic effects. In this article, we review the basic principles of this model and highlight specific ways in which prediction errors can be perturbed, in particular considering the reliability and uncertainty of predictions. The expanded model explains hallucinations as perturbations of the uncertainty mediated balance between expectation and prediction error. Here, expectations dominate and create perceptions by suppressing or ignoring actual inputs. Negative symptoms may arise due to poor reliability of predictions in service of action. By mapping from biology to belief and perception, the account proffers new explanations of psychosis. However, challenges remain. We attempt to address some of these concerns and suggest future directions, incorporating other symptoms into the model, building towards better understanding of psychosis.

Indexed as

AnimalsAssociation LearningBrainDelusionsHallucinationsHumansKetaminePsychoses, Substance-InducedReceptors, N-Methyl-D-AspartateReproducibility of ResultsKetamineReceptors, N-Methyl-D-Aspartatecomputational psychiatrydelusionsDrug modelhallucinationsketaminepsychosisschizophrenia

Identifiers

PMID27226342
PMCPMC5105325
OpenAlexW2345771415

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.