Evidence map›Paper›PMID 26494275›Full record

ReviewNeuron2015

Dopamine Prediction Errors in Reward Learning and Addiction: From Theory to Neural Circuitry.

Ronald Keiflin, Patricia H Janak

Open access · bronzeAbstract readReview
In one paragraph

Review in Neuron, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 204 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
204citing papers in PubMed, 2 pooled it
11.7field-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

204 citing papers in PubMed, 2 syntheses or guidelines pooled it, 384 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Sequence termination cues drive automated habit-like strategy via dopamine-mediated processes.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  7. Article
  8. A Mouse-Tracking Paradigm for Value-Driven Attentional Capture.Behavioral sciences (Basel, Switzerland) · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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
  16. Article
  17. Article
  18. Review
  19. Dopamine signatures of excessive and compulsive cocaine and fentanyl use.bioRxiv : the preprint server for biology · 2026
    Article
  20. Article

144 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

2 authors at 1 institution in 1 country.

Ronald KeiflinDepartment of Psychological and Brain Sciences, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD 21218, USA.
Patricia H JanakDepartment of Psychological and Brain Sciences, Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD 21218, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. Electronic address: patricia.janak@jhu.edu.
Johns Hopkins University · US

Funding

Optogenetic Testing of Mechanims of Dopamine Action in Pavlovian LearningR01DA035943 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JANAK, PATRICIA H. · 2014 to 2023
$4.1M
Context and Relapse to Ethanol-SeekingR01AA014925 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JANAK, PATRICIA H. · 2004 to 2014
$3.6M
Striatal Mechanisms of Ethanol SeekingR01AA018025 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JANAK, PATRICIA H. · 2008 to 2012
$1.7M
NIAAA NIH HHS AA014925NIAAA NIH HHS AA018025NIAAA NIH HHS R01 AA014925NIAAA NIH HHS R01 AA018025NIDA NIH HHS DA035943NIDA NIH HHS R01 DA035943
6 · The paper itself

Abstract

Midbrain dopamine (DA) neurons are proposed to signal reward prediction error (RPE), a fundamental parameter in associative learning models. This RPE hypothesis provides a compelling theoretical framework for understanding DA function in reward learning and addiction. New studies support a causal role for DA-mediated RPE activity in promoting learning about natural reward; however, this question has not been explicitly tested in the context of drug addiction. In this review, we integrate theoretical models with experimental findings on the activity of DA systems, and on the causal role of specific neuronal projections and cell types, to provide a circuit-based framework for probing DA-RPE function in addiction. By examining error-encoding DA neurons in the neural network in which they are embedded, hypotheses regarding circuit-level adaptations that possibly contribute to pathological error signaling and addiction can be formulated and tested.

Indexed as

Models, TheoreticalRewardAnimalsBehavior, AddictiveDopamineDopaminergic NeuronsForecastingHumansLearningNerve NetDopamine

Identifiers

PMID26494275
PMCPMC4760620
OpenAlexW2142671349

What OpenQuestion holds

Textmetadata
LicenceTDM
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.