Evidence map›Paper›PMID 41758932›Full record

ArticleScience advances2026

Rapid dopaminergic signatures in movement: Reach vigor reflects reward prediction error and learned expectation.

Colin C Korbisch, Alaa A Ahmed

Abstract read
In one paragraph

Article in Science advances, 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
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Colin C KorbischDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, USA.ORCID 0000-0002-6566-2860
Alaa A AhmedDepartment of Mechanical Engineering, University of Colorado Boulder, Boulder, CO, USA.ORCID 0000-0002-1596-342X

Funding

Effort, reward and vigor in decision making and movement controlR01NS096083 · NINDS · UNIVERSITY OF COLORADO · PI AHMED, ALAA A. · 2017 to 2021
$2.3M
NINDS NIH HHS R01 NS096083
6 · The paper itself

Abstract

Movements become more vigorous when rewards are expected, suggesting that motivational signals influence motor control. Dopaminergic neurons, known to encode reward expectation and prediction error, are prime candidates for linking value and vigor. Here, we show that human reach vigor dynamically tracks canonical dopaminergic learning signals not only at movement onset but also during ongoing motion. Using a reaching task with probabilistic rewards (0, 33, 66, and 100%), we observed that peak velocity scaled with expected value. Crucially, following feedback, reach velocity was transiently invigorated or enervated in proportion to the sign and magnitude of the reward prediction error. Trial-by-trial changes in kinematics reflected value updating, consistent with dopaminergic phasic learning signals. These results demonstrate that movement vigor is modulated by reward-learning signals on rapid timescales, revealing a real-time behavioral readout of motivational computation in the brain.

Indexed as

DopamineDopaminergic NeuronsLearningRewardBiomechanical PhenomenaFemaleHumansMaleMotivationMovementDopamine

Identifiers

PMID41758932
PMCPMC12947855

What OpenQuestion holds

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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.