Evidence map›Paper›PMID 33566831›Full record

ArticlePLoS computational biology2021

Neural signatures of arbitration between Pavlovian and instrumental action selection.

Samuel J Gershman, Marc Guitart-Masip, James F Cavanagh

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Reduced Pavlovian Value Updating Alters Decision-Making in Sign-Trackers.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

3 authors.

Samuel J GershmanDepartment of Psychology and Center for Brain Science, Harvard University, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-6546-3298
Marc Guitart-MasipMax Planck-UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom.ORCID 0000-0002-2294-6492
James F CavanaghDepartment of Psychology, University of New Mexico, Albuquerque, New Mexico, United States of America.ORCID 0000-0003-2428-3562

Funding

A Novel Bench-to-Bedside Translational Model of AnhedoniaR01MH119382 · NIMH · UNIVERSITY OF NEW MEXICO · PI CAVANAGH, JAMES F · 2019 to 2023
$1.8M
NIMH NIH HHS R01 MH119382
6 · The paper itself

Abstract

Pavlovian associations drive approach towards reward-predictive cues, and avoidance of punishment-predictive cues. These associations "misbehave" when they conflict with correct instrumental behavior. This raises the question of how Pavlovian and instrumental influences on behavior are arbitrated. We test a computational theory according to which Pavlovian influence will be stronger when inferred controllability of outcomes is low. Using a model-based analysis of a Go/NoGo task with human subjects, we show that theta-band oscillatory power in frontal cortex tracks inferred controllability, and that these inferences predict Pavlovian action biases. Functional MRI data revealed an inferior frontal gyrus correlate of action probability and a ventromedial prefrontal correlate of outcome valence, both of which were modulated by inferred controllability.

Indexed as

Conditioning, OperantAdolescentAdultBayes TheoremComputer SimulationDecision MakingElectroencephalographyFrontal LobeHumansMagnetic Resonance ImagingModels, NeurologicalNeuroimagingPrefrontal CortexPunishmentRewardYoung Adult

Identifiers

PMID33566831
PMCPMC7901778

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.