Evidence map›Paper›PMID 31061490›Full record

ArticleNature human behaviour2019

Positive reward prediction errors during decision-making strengthen memory encoding.

Anthony I Jang, Matthew R Nassar, Daniel G Dillon, Michael J Frank

Abstract read
In one paragraph

Article in Nature human behaviour, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. Trial
  2. Midbrain-Hippocampus Structural Connectivity Selectively Predicts Motivated Memory Encoding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Trial
  3. Article
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  10. The hippocampus as a generative model.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Examining working and episodic memory in young adults with anhedonia.Cognitive, affective & behavioral neuroscience · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Neural and computational evidence for a predictive learning account of the testing effect.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Article

5 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

4 authors.

Anthony I Jang *Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA.ORCID http://orcid.org/0000-0003-3073-8228
Matthew R Nassar *Department of Neuroscience, Brown University, Providence, RI, USA. matthew_nassar@brown.edu.ORCID http://orcid.org/0000-0002-5397-535X
Daniel G DillonCenter for Depression, Anxiety and Stress Research, McLean Hospital, Belmont, MA, USA.ORCID http://orcid.org/0000-0002-1977-700X
Michael J FrankDepartment of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI, USA.

Funding

Clinical and Computational Studies of Dopamine Function in SchizophreniaR01MH080066 · NIMH · UNIVERSITY OF MARYLAND BALTIMORE · PI GOLD, JAMES M. · 2008 to 2017
$6.4M
Neuroscience of Reward-Related Learning and Memory in DepressionR00MH094438 · NIMH · MCLEAN HOSPITAL · PI DILLON, DANIEL G · 2014 to 2016
$740k
Cognitive and Molecular Challenges to Statistical Inference Across Healthy Aging.K99AG054732 · NIA · BROWN UNIVERSITY · PI NASSAR, MATTHEW · 2017 to 2018
$223k
Neuroscience of Reward-Related Learning and Memory in DepressionK99MH094438 · NIMH · MCLEAN HOSPITAL · PI DILLON, DANIEL G · 2012 to 2013
$195k
Does prefrontal dopamine modulate error signals to optimally adjust learning?F32MH102009 · NIMH · BROWN UNIVERSITY · PI NASSAR, MATTHEW · 2014 to 2016
$134k
NIA NIH HHS K99 AG054732NIMH NIH HHS F32 MH102009NIMH NIH HHS K99 MH094438NIMH NIH HHS R00 MH094438NIMH NIH HHS R01 MH080066
6 · The paper itself

Abstract

Dopamine is thought to provide reward prediction error signals to temporal lobe memory systems, but the role of these signals in episodic memory has not been fully characterized. Here we developed an incidental memory paradigm to (i) estimate the influence of reward prediction errors on the formation of episodic memories, (ii) dissociate this influence from surprise and uncertainty, (iii) characterize the role of temporal correspondence between prediction error and memoranda presentation and (iv) determine the extent to which this influence is dependent on memory consolidation. We found that people encoded incidental memoranda more strongly when they gambled for potential rewards. Moreover, the degree to which gambling strengthened encoding scaled with the reward prediction error experienced when memoranda were presented (and not before or after). This encoding enhancement was detectable within minutes and did not differ substantially after 24 h, indicating that it is not dependent on memory consolidation. These results suggest a computationally and temporally specific role for reward prediction error signalling in memory formation.

Indexed as

Decision MakingMemory, EpisodicRewardAdultCerebral CortexCorpus StriatumDopamineFemaleGamblingHumansLearningMaleMemoryMemory ConsolidationReinforcement, PsychologyTemporal LobeDopamine

Identifiers

PMID31061490
PMCPMC6625913

What OpenQuestion holds

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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.