Evidence map›Paper›PMID 32601244›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2020

Reinforcement Learning during Adolescence in Rats.

Neema Moin Afshar, Alex J Keip, Jane R Taylor, Daeyeol Lee, Stephanie M Groman

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
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  8. Review
  9. Article
  10. Pruning recurrent neural networks replicates adolescent changes in working memory and reinforcement learning.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  11. Review
  12. Review
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  14. 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.

Neema Moin AfsharDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut 06511.
Alex J KeipDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut 06511.
Jane R TaylorDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut 06511.
Daeyeol LeeThe Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, Maryland 21218.
Stephanie M GromanDepartment of Psychiatry, Yale School of Medicine, New Haven, Connecticut 06511 stephanie.groman@yale.edu.ORCID 0000-0002-5231-0612

Funding

Yale/NIDA Neuroproteomics Research CenterP30DA018343 · NIDA · YALE UNIVERSITY · PI ANGUS C. NAIRN, Kenneth Robert WILLIAMS · 2004 to 2026
$37.1M
Decision-Making Dysfunction and Chronic CocaineR01DA041480 · NIDA · YALE UNIVERSITY · PI TAYLOR, JANE R · 2017 to 2021
$1.7M
Identification of a non-invasive neuroimaging biomarker of prenatal synaptic developmentR21MH120615 · NIMH · YALE UNIVERSITY · PI GROMAN, STEPHANIE MARY, SCHEINOST, DUSTIN · 2019 to 2020
$712k
NIDA NIH HHS P30 DA018343NIDA NIH HHS R01 DA041480NIMH NIH HHS R21 MH120615
6 · The paper itself

Abstract

The most dynamic period of postnatal brain development occurs during adolescence, the period between childhood and adulthood. Neuroimaging studies have observed morphologic and functional changes during adolescence, and it is believed that these changes serve to improve the functions of circuits that underlie decision-making. Direct evidence in support of this hypothesis, however, has been limited because most preclinical decision-making paradigms are not readily translated to humans. Here, we developed a reversal-learning protocol for the rapid assessment of adaptive choice behavior in dynamic environments in rats as young as postnatal day 30. A computational framework was used to elucidate the reinforcement-learning mechanisms that change in adolescence and into adulthood. Using a cross-sectional and longitudinal design, we provide the first evidence that value-based choice behavior in a reversal-learning task improves during adolescence in male and female Long-Evans rats and demonstrate that the increase in reversal performance is due to alterations in value updating for positive outcomes. Furthermore, we report that reversal-learning trajectories in adolescence reliably predicted reversal performance in adulthood. This novel behavioral protocol provides a unique platform for conducting biological and systems-level analyses of the neurodevelopmental mechanisms of decision-making.

Indexed as

Reinforcement, PsychologyAge FactorsAnimalsConditioning, OperantFemaleHumansMaleRatsRats, Long-EvansReversal Learningcomputational psychiatrymeta-learningneurodevelopmentreversal learningreward

Identifiers

PMID32601244
PMCPMC7380962

What OpenQuestion holds

Textmetadata
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.