Evidence map›Paper›PMID 35858450›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Motor learning without movement.

Olivia A Kim, Alexander D Forrence, Samuel D McDougle

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Feasible cognition requires latent state.Biological cybernetics · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Motor working memory.Trends in cognitive sciences · 2026
    Review
  7. Article
  8. Article
  9. Attention Defines the Context for Implicit Sensorimotor Adaptation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
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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 at 2 institutions in 1 country.

Olivia A KimDepartment of Psychology, Princeton University, Princeton, NJ 08544.ORCID 0000-0001-5930-2933
Alexander D ForrenceDepartment of Psychology, Yale University, New Haven, CT 06511.ORCID 0000-0002-9728-6337
Samuel D McDougleDepartment of Psychology, Yale University, New Haven, CT 06511.ORCID 0000-0001-8100-4238
Yale University · USPrinceton University · US

Funding

An investigation into the neurobehavioral interactions between sensory- and reward-prediction errors during motor learningF32NS122921 · NINDS · PRINCETON UNIVERSITY · PI KIM, OLIVIA ANN · 2021 to 2022
$128k
NINDS NIH HHS F32 NS122921
6 · The paper itself

Abstract

Prediction errors guide many forms of learning, providing teaching signals that help us improve our performance. Implicit motor adaptation, for instance, is thought to be driven by sensory prediction errors (SPEs), which occur when the expected and observed consequences of a movement differ. Traditionally, SPE computation is thought to require movement execution. However, recent work suggesting that the brain can generate sensory predictions based on motor imagery or planning alone calls this assumption into question. Here, by measuring implicit motor adaptation during a visuomotor task, we tested whether motor planning and well-timed sensory feedback are sufficient for adaptation. Human participants were cued to reach to a target and were, on a subset of trials, rapidly cued to withhold these movements. Errors displayed both on trials with and without movements induced single-trial adaptation. Learning following trials without movements persisted even when movement trials had never been paired with errors and when the direction of movement and sensory feedback trajectories were decoupled. These observations indicate that the brain can compute errors that drive implicit adaptation without generating overt movements, leading to the adaptation of motor commands that are not overtly produced.

Indexed as

LearningPsychomotor PerformanceAdaptation, PhysiologicalFeedback, SensoryHumansMovementforward modelmental imagerypredictive codingsupervised learning

Identifiers

PMID35858450
PMCPMC9335319
OpenAlexW4286218470

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.