Evidence map›Paper›PMID 31118513›Full record

ArticleNature2019

Dissociable dopamine dynamics for learning and motivation.

Ali Mohebi, Jeffrey R Pettibone, Arif A Hamid, Jenny-Marie T Wong, Leah T Vinson, Tommaso Patriarchi, Lin Tian, Robert T Kennedy, Joshua D Berke

Erratum issuedAbstract read
In one paragraph

Article in Nature, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 383 papers.

0numbers the graph read from it
0cells of the map it votes in
383citing 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

383 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Sequence termination cues drive automated habit-like strategy via dopamine-mediated processes.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  4. Review
  5. Effort, timing and choice: a refined rodent effort choice task with excellent sensitivity to dopamine modulators.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
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323 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Ali Mohebi *Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Jeffrey R Pettibone *Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
Arif A HamidDepartment of Neuroscience, Brown University, Providence, RI, USA.
Jenny-Marie T WongDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.
Leah T VinsonNeuroscience Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
Tommaso PatriarchiDepartment of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, Davis, CA, USA.
Lin TianDepartment of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, Davis, CA, USA.
Robert T KennedyDepartment of Chemistry, University of Michigan, Ann Arbor, MI, USA.
Joshua D BerkeDepartment of Neurology, University of California, San Francisco, San Francisco, CA, USA. Joshua.Berke@ucsf.edu.

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
Dopaminergic mechanisms for motivation and reinforcement learningR01DA045783 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOSHUA D BERKE · 2018 to 2026
$4.1M
In vivo chemical monitoring using capillary separationsR01EB003320 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KENNEDY, ROBERT T · 2003 to 2020
$2.7M
Striatal Microcircuits: Regulation and FunctionR01NS078435 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BERKE, JOSHUA D, KREITZER, ANATOL · 2012 to 2016
$2.4M
Basal Ganglia Pathways for Stopping and SwitchingR01MH101697 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BERKE, JOSHUA D · 2013 to 2017
$1.9M
Reinforcement Learning and Striatal Patch/Matrix ArchitectureR21DA032259 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BERKE, JOSHUA D · 2011 to 2012
$378k
NIBIB NIH HHS R01 EB003320NIDA NIH HHS R01 DA045783NIDA NIH HHS R21 DA032259NIDDK NIH HHS P30 DK020572NIMH NIH HHS R01 MH101697NINDS NIH HHS R01 NS078435
6 · The paper itself

Abstract

The dopamine projection from ventral tegmental area (VTA) to nucleus accumbens (NAc) is critical for motivation to work for rewards and reward-driven learning. How dopamine supports both functions is unclear. Dopamine cell spiking can encode prediction errors, which are vital learning signals in computational theories of adaptive behaviour. By contrast, dopamine release ramps up as animals approach rewards, mirroring reward expectation. This mismatch might reflect differences in behavioural tasks, slower changes in dopamine cell spiking or spike-independent modulation of dopamine release. Here we compare spiking of identified VTA dopamine cells with NAc dopamine release in the same decision-making task. Cues that indicate an upcoming reward increased both spiking and release. However, NAc core dopamine release also covaried with dynamically evolving reward expectations, without corresponding changes in VTA dopamine cell spiking. Our results suggest a fundamental difference in how dopamine release is regulated to achieve distinct functions: broadcast burst signals promote learning, whereas local control drives motivation.

Indexed as

RewardAnimalsCuesDecision MakingDopamineDopaminergic NeuronsLearningMaleMotivationNucleus AccumbensPrefrontal CortexRatsRats, Long-EvansTime FactorsVentral Tegmental AreaDopamine

Identifiers

PMID31118513
PMCPMC6555489

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.