Evidence map›Paper›PMID 35104323›Full record

ArticleJournal of cognitive neuroscience2022

Distinct Neural Signatures of Outcome Monitoring After Selection and Execution Errors.

Faisal Mushtaq, Samuel D McDougle, Matt P Craddock, Darius E Parvin, Jack Brookes, Alexandre Schaefer, Mark Mon-Williams, Jordan A Taylor, Richard B Ivry

Abstract read
In one paragraph

Article in Journal of cognitive neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Faisal MushtaqUniversity of Leeds.ORCID 0000-0001-7881-1127
Samuel D McDougleYale University.ORCID 0000-0001-8100-4238
Matt P CraddockUniversity of Lincoln.ORCID 0000-0002-2199-3705
Darius E ParvinUniversity of California, Berkeley.ORCID 0000-0001-5278-2970
Jack BrookesUniversity of Leeds.ORCID 0000-0002-4600-7561
Alexandre SchaeferSunway University, Malaysia.ORCID 0000-0003-0864-9384
Mark Mon-WilliamsUniversity of Leeds.ORCID 0000-0001-7595-8545
Jordan A TaylorPrinceton University.ORCID 0000-0001-9300-1229
Richard B IvryUniversity of California, Berkeley.ORCID 0000-0003-4728-5130

Funding

Human Cerebellar Function in Multiple Task DomainsR35NS116883 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RICHARD IVRY · 2020 to 2026
$5.3M
Embodied Decision Making: The Influence of Action Errors on Reinforcement LearningR01NS092079 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI IVRY, RICHARD · 2015 to 2019
$1.7M
Modeling and mapping multiple computational processes in human reinforcement learningF32MH119797 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI MCDOUGLE, SAMUEL DAVID · 2019 to 2020
$82k
Engineering and Physical Sciences Research Council EP/R031193/1NIMH NIH HHS F32 MH119797NINDS NIH HHS R01 NS092079NINDS NIH HHS R35 NS116883
6 · The paper itself

Abstract

Losing a point in tennis could result from poor shot selection or faulty stroke execution. To explore how the brain responds to these different types of errors, we examined feedback-locked EEG activity while participants completed a modified version of a standard three-armed bandit probabilistic reward task. Our task framed unrewarded outcomes as the result of either errors of selection or errors of execution. We examined whether amplitude of a medial frontal negativity (the feedback-related negativity [FRN]) was sensitive to the different forms of error attribution. Consistent with previous reports, selection errors elicited a large FRN relative to rewards, and amplitude of this signal correlated with behavioral adjustment after these errors. A different pattern was observed in response to execution errors. These outcomes produced a larger FRN, a frontocentral attenuation in activity preceding this component, and a subsequent enhanced error positivity in parietal sites. Notably, the only correlations with behavioral adjustment were with the early frontocentral attenuation and amplitude of the parietal signal; FRN differences between execution errors and rewarded trials did not correlate with subsequent changes in behavior. Our findings highlight distinct neural correlates of selection and execution error processing, providing insight into how the brain responds to the different classes of error that determine future action.

Indexed as

BrainRewardElectroencephalographyEvoked PotentialsFeedback, PsychologicalHumans

Identifiers

PMID35104323
PMCPMC8969121

What OpenQuestion holds

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Registered trials

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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.