Evidence map›Paper›PMID 30413646›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2019

Neurochemical and Behavioral Dissections of Decision-Making in a Rodent Multistage Task.

Stephanie M Groman, Bart Massi, Samuel R Mathias, Daniel W Curry, Daeyeol Lee, Jane R Taylor

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

21 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  6. Dopamine Release in the Nucleus Accumbens Core Encodes the General Excitatory Components of Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  7. Review
  8. Reward-Mediated, Model-Free Reinforcement-Learning Mechanisms in Pavlovian and Instrumental Tasks Are Related.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Review
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  14. Article
  15. Habit, choice, and addiction.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
    Review
  16. Article
  17. Neural substrates of habit.Journal of neuroscience research · 2020
    Review
  18. 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

6 authors at 1 institution in 1 country.

Stephanie M GromanDepartment of Psychiatry, stephanie.groman@yale.edu jane.taylor@yale.edu.ORCID 0000-0002-5231-0612
Bart MassiDepartment of Neuroscience, and.
Samuel R MathiasDepartment of Psychiatry.
Daniel W CurryDepartment of Psychiatry.ORCID 0000-0002-4418-8119
Daeyeol LeeDepartment of Psychiatry.ORCID 0000-0003-3474-019X
Jane R TaylorDepartment of Psychiatry, stephanie.groman@yale.edu jane.taylor@yale.edu.
Yale University · US

Funding

Individual differences & cocaine effects on impulsive choice in rats: D3/5HT1B R01DA043443 · NIDA · YALE UNIVERSITY · PI Jane R Taylor · 2016 to 2026
$4.6M
Decision-Making Dysfunction and Chronic CocaineR01DA041480 · NIDA · YALE UNIVERSITY · PI TAYLOR, JANE R · 2017 to 2021
$1.7M
NIDA NIH HHS R01 DA041480NIDA NIH HHS R01 DA043443
6 · The paper itself

Abstract

Flexible decision-making in dynamic environments requires both retrospective appraisal of reinforced actions and prospective reasoning about the consequences of actions. These complementary reinforcement-learning systems can be characterized computationally with model-free and model-based algorithms, but how these processes interact at a neurobehavioral level in normal and pathological states is unknown. Here, we developed a translationally analogous multistage decision-making (MSDM) task to independently quantify model-free and model-based behavioral mechanisms in rats. We provide the first direct evidence that male rats, similar to humans, use both model-free and model-based learning when making value-based choices in the MSDM task and provide novel analytic approaches for independently quantifying these reinforcement-learning strategies. Furthermore, we report that

Indexed as

AlgorithmsAnimalsBehavior, AnimalBrain ChemistryConditioning, OperantDecision MakingDopamineMaleModels, PsychologicalModels, StatisticalPrefrontal CortexRatsRats, Long-EvansVentral StriatumDopaminecomputational psychiatrydecision-makingdopaminemodel-free and model-based reinforcement learning

Identifiers

PMID30413646
PMCPMC6325257
OpenAlexW2900331860

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.