Evidence map›Paper›PMID 34588607›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2022

The prediction-error hypothesis of schizophrenia: new data point to circuit-specific changes in dopamine activity.

Samuel J Millard, Carrie E Bearden, Katherine H Karlsgodt, Melissa J Sharpe

Abstract readReview
In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Schizophrenia: from mechanism to therapy.Science China. Life sciences · 2026
    Review
  5. Review
  6. Article
  7. Mesocorticostriatal Reinforcement Learning of State Representation and Value with Implications for the Mechanisms of Schizophrenia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Synergistic pathways to psychosis: understanding developmental risk and resilience factors.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Review
  12. A brief history of dopamine prediction errors.Frontiers in computational neuroscience · 2026
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Beyond Latency: ChronicBiomedicines · 2025
    Review
  18. Article
  19. Article
  20. 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.

Samuel J MillardDepartment of Psychology, University of California, Los Angeles, CA, 90095, USA. sjmillard@psych.ucla.edu.
Carrie E BeardenDepartment of Psychology, University of California, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0000-0002-8516-923X
Katherine H KarlsgodtDepartment of Psychology, University of California, Los Angeles, CA, 90095, USA.ORCID http://orcid.org/0000-0003-3332-4231
Melissa J SharpeDepartment of Psychology, University of California, Los Angeles, CA, 90095, USA. melissa.j.sharpe@psych.ucla.edu.ORCID http://orcid.org/0000-0002-5375-2076

Funding

Neurodevelopment and Psychosis in the 22q11.2 Copy Number VariantsR37MH085953 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CARRIE E BEARDEN · 2023 to 2026
$2.9M
Neurobiological basis of dysconnectivity in a genetic risk model of psychosisR21MH116473 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, GOZZI, ALESSANDRO · 2018 to 2019
$366k
NIMH NIH HHS R21 MH116473NIMH NIH HHS R37 MH085953
6 · The paper itself

Abstract

Schizophrenia is a severe psychiatric disorder affecting 21 million people worldwide. People with schizophrenia suffer from symptoms including psychosis and delusions, apathy, anhedonia, and cognitive deficits. Strikingly, schizophrenia is characterised by a learning paradox involving difficulties learning from rewarding events, whilst simultaneously 'overlearning' about irrelevant or neutral information. While dysfunction in dopaminergic signalling has long been linked to the pathophysiology of schizophrenia, a cohesive framework that accounts for this learning paradox remains elusive. Recently, there has been an explosion of new research investigating how dopamine contributes to reinforcement learning, which illustrates that midbrain dopamine contributes in complex ways to reinforcement learning, not previously envisioned. This new data brings new possibilities for how dopamine signalling contributes to the symptomatology of schizophrenia. Building on recent work, we present a new neural framework for how we might envision specific dopamine circuits contributing to this learning paradox in schizophrenia in the context of models of reinforcement learning. Further, we discuss avenues of preclinical research with the use of cutting-edge neuroscience techniques where aspects of this model may be tested. Ultimately, it is hoped that this review will spur to action more research utilising specific reinforcement learning paradigms in preclinical models of schizophrenia, to reconcile seemingly disparate symptomatology and develop more efficient therapeutics.

Indexed as

Psychotic DisordersSchizophreniaDopamineHumansReinforcement, PsychologyRewardDopamine

Identifiers

PMID34588607
PMCPMC8782867

What Socratic 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 Socratic graph.