Evidence map›Paper›PMID 38321294›Full record

ArticleNature neuroscience2024

Dopamine transients follow a striatal gradient of reward time horizons.

Ali Mohebi, Wei Wei, Lilian Pelattini, Kyoungjun Kim, Joshua D Berke

Abstract read
In one paragraph

Article in Nature neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
–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

49 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. The parafascicular thalamus steers attention to facilitate learning.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Dopamine Responses in Medial Frontal Cortex Are More Consistent with a Generalized Arousal Signal Than Signed Reward Prediction Errors.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  13. Article
  14. Article
  15. A brief history of dopamine prediction errors.Frontiers in computational neuroscience · 2026
    Review
  16. Article
  17. Review
  18. Trial-by-trial learning of successor representations in human behavior.bioRxiv : the preprint server for biology · 2025
    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

5 authors.

Ali Mohebi *Department of Neurology, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-7291-3448
Wei Wei *Department of Neurology, University of California San Francisco, San Francisco, CA, USA.
Lilian PelattiniDepartment of Neurology, University of California San Francisco, San Francisco, CA, USA.
Kyoungjun KimDepartment of Neurology, University of California San Francisco, San Francisco, CA, USA.
Joshua D Berke *Department of Neurology, University of California San Francisco, San Francisco, CA, USA. joshua.berke@ucsf.edu.ORCID http://orcid.org/0000-0003-1436-6823

Funding

Dopaminergic mechanisms for motivation and reinforcement learningR01DA045783 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOSHUA D BERKE · 2018 to 2026
$4.1M
Striatal Microcircuit DynamicsR01NS123516 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BERKE, JOSHUA D · 2021 to 2025
$2.1M
Neural mechanisms linking need to rewardR01NS116626 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BERKE, JOSHUA D, KNIGHT, ZACHARY A. · 2023 to 2024
$1.7M
Dopaminergic modulation of prefrontal cortex during working memoryK01MH126223 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MOHEBI, ALI · 2021 to 2023
$575k
Encoding and regulation of compulsion-like alcohol drinking by subtypes of nucleus accumbens core neuronsR21AA027157 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BERKE, JOSHUA D, HOPF, FREDERIC WOODWARD · 2018 to 2019
$421k
NIAAA NIH HHS R21 AA027157NIDA NIH HHS R01 DA045783NIMH NIH HHS K01 MH126223NINDS NIH HHS R01 NS116626NINDS NIH HHS R01 NS123516
6 · The paper itself

Abstract

Animals make predictions to guide their behavior and update those predictions through experience. Transient increases in dopamine (DA) are thought to be critical signals for updating predictions. However, it is unclear how this mechanism handles a wide range of behavioral timescales-from seconds or less (for example, if singing a song) to potentially hours or more (for example, if hunting for food). Here we report that DA transients in distinct rat striatal subregions convey prediction errors based on distinct time horizons. DA dynamics systematically accelerated from ventral to dorsomedial to dorsolateral striatum, in the tempo of spontaneous fluctuations, the temporal integration of prior rewards and the discounting of future rewards. This spectrum of timescales for evaluative computations can help achieve efficient learning and adaptive motivation for a broad range of behaviors.

Indexed as

Corpus StriatumDopamineAnimalsLearningNeostriatumRatsRewardDopamine

Identifiers

PMID38321294
PMCPMC11001583

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.