Evidence map›Paper›PMID 42154974›Full record

ArticleJournal of cognitive neuroscience2026

Physiological Evidence for the Time-dependent Resolution of Response Conflicts.

Alxandr Kane York, Jacob Sellers, Han Zhang, Michael Vesia, Taraz Lee, John Jonides

Abstract read
In one paragraph

Article in Journal of cognitive neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alxandr Kane YorkUniversity of Michigan.
Jacob SellersUniversity of Michigan.
Han ZhangUniversity of Michigan.
Michael VesiaUniversity of Michigan.
Taraz LeeUniversity of Michigan.
John JonidesUniversity of Michigan.

Funding

Early Stage Training in the NeurosciencesT32NS076401 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Carol Fuzeti Elias, LESLIE S. SATIN · 2011 to 2026
$3.1M
Division of Behavioral and Cognitive Sciences 2342319NINDS NIH HHS T-32-NS076401NINDS NIH HHS T32 NS076401
6 · The paper itself

Abstract

Cognitive control encapsulates the mental processes that support goal-directed behavior and overcome habitual/automatic drives. Traditional RT approaches obscure the temporal dynamics of conflict resolution. We recently proposed the use of a forced-response paradigm in combination with the response preparation model (RPM) to reveal how processing related to goal-directed and automatic responses unfolds over time during the conflict resolution process. However, this model relies on overt behavior and trials when participants make an error, leaving it unclear if the insight the model provides can be used to infer the dynamic mental states that occur when conflict resolution is successful. Partial errors-subthreshold muscle activation of the incorrect response on incongruent trials before the correct response-offer a solution. Partial errors act as a physiological window into the timing of the habitual process. Across two experiments, participants completed forced-response versions of the Simon and flanker tasks while EMG was recorded from both hands. We demonstrate that the RPM accurately captures behavioral performance and that the estimations of the habitual process by the RPM correspond with the timing of partial errors. Importantly, replacing the habit process in the RPM with the timing of partial errors preserved the model's ability to accurately predict behavior. These findings offer converging behavioral, computational, and physiological evidence for the timing of the habitual response process in conflict tasks and affirm the utility of the forced-response method and RPM in examining conflict resolution.

Indexed as

Conflict, PsychologicalExecutive FunctionMuscle, SkeletalPsychomotor PerformanceReaction TimeAdultElectromyographyFemaleHabitsHumansMaleTime FactorsYoung Adult

Identifiers

PMID42154974
PMCPMC13460425

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.