Evidence map›Paper›PMID 41940343›Full record

ArticleiScience2026

Neural correlates of individual differences in motor learning under reinforcement contexts.

Hayato Otake, Naoki Senta, Junichi Ushiba, Mitsuaki Takemi

Abstract read
In one paragraph

Article in iScience, 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

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

4 authors.

Hayato OtakeGraduate School of Science and Technology, Keio University, Yokohama, Kanagawa 223-8522, Japan.
Naoki SentaGraduate School of Science and Technology, Keio University, Yokohama, Kanagawa 223-8522, Japan.
Junichi UshibaFaculty of Science and Technology, Keio University, Yokohama, Kanagawa 223-8522, Japan.
Mitsuaki TakemiGraduate School of Science and Technology, Keio University, Yokohama, Kanagawa 223-8522, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rewards and punishments shape motor learning, yet individuals vary in their adaptation speed and skill retention. Previous studies have linked these processes to two electroencephalographic signatures: feedback-related negativity (FRN) and sensorimotor event-related desynchronization (ERD). However, their roles in individual learning differences remain unclear. We recorded electroencephalography while 64 adults performed a visuomotor rotation task where gains or losses scaled with movement error. Using Lasso regression, we examined whether these neural markers accounted for individual variability in learning and retention. Results demonstrated that the interaction between sensorimotor alpha-ERD during movement preparation in late adaptation and feedback condition explained retention. Stronger alpha-ERD predicted better retention only in the reward condition, whereas neither ERD nor FRN explained adaptation rates. These findings indicate that late-phase alpha-ERD reflects neural mechanisms supporting motor memory stabilization, which becomes behaviorally relevant specifically under positive reinforcement. Thus, pairing reward with interventions enhancing sensorimotor cortical excitability may facilitate skill maintenance.

Indexed as

Biological sciencesClinical neuroscienceNatural sciencesNeuroscience

Identifiers

PMID41940343
PMCPMC13049676

What OpenQuestion holds

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LicenceCC BY
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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.