Evidence map›Paper›PMID 42897231›Full record

ArticleNature human behaviour2026

Motor abstraction training generalizes to the refinement of specific movement patterns.

Zekun Sun, Zhiran Xie, Samuel D McDougle

Abstract read
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In one paragraph

Article in Nature human behaviour, 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

3 authors.

Zekun SunDepartment of Psychology, Yale University, New Haven, CT, USA. zekun.sun@yale.edu.ORCID http://orcid.org/0000-0003-0359-1435
Zhiran XieProgram in Computational Biology and Biomedical Informatics, Yale University, New Haven, CT, USA.
Samuel D McDougleDepartment of Psychology, Yale University, New Haven, CT, USA. samuel.mcdougle@yale.edu.ORCID http://orcid.org/0000-0001-8100-4238

Funding

Generalized prediction errors in the human cerebellumR01NS132926 · NINDS · YALE UNIVERSITY · PI Samuel David McDougle · 2023 to 2026
$1.7M
U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) R01 NS132926
6 · The paper itself

Abstract

The ability to abstract the invariant structure of an experience while discarding incidental details underlies generalization across virtually every domain of human cognition, from vision and language to concept learning. Yet whether the motor system generates such abstractions and whether they causally contribute to skilled performance remain open questions. Here we introduce a paradigm in which human participants learned novel movement patterns by precisely copying unfamiliar handwritten characters. To examine the role of motor abstractions in this form of learning, participants were trained on markedly rotated versions of the characters, which recruited substantially different lower-level movements while still maintaining the relevant abstract movement trajectory. Across 11 experiments, abstraction training drove robust performance improvements that were comparable to having repetitive practice on the canonical form of each character. Moreover, this effect was largely motoric in nature: it did not require a visual template, sustained trajectory feedback or mental imagery, and was sensitive to the sequential structure of the movement trajectory. These findings establish a causal role for abstractions in motor learning, revealing that the motor system probably deploys abstractions in the earliest stages of skill acquisition.

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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.