Evidence map›Paper›PMID 32550003›Full record

ArticleNPJ science of learning2020

Mechanisms of offline motor learning at a microscale of seconds in large-scale crowdsourced data.

Marlene Bönstrup, Iñaki Iturrate, Martin N Hebart, Nitzan Censor, Leonardo G Cohen

Abstract read
In one paragraph

Article in NPJ science of learning, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Skill Memory Expansion Shapes Micro-Scale Dynamics of Skill Learning.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Micro-offline gains do not reflect offline learning during early motor skill acquisition in humans.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Article
  16. Impaired Online and Enhanced Offline Motor Sequence Learning in Individuals with Parkinson's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

5 authors.

Marlene BönstrupHuman Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD 20814 USA.ORCID 0000-0002-7237-1359
Iñaki IturrateHuman Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD 20814 USA.
Martin N HebartLaboratory of Brain and Cognition, National Institute of Mental Health, Bethesda, MD 20814 USA.ORCID 0000-0001-7257-428X
Nitzan CensorSchool of Psychological Sciences and Sagol School of Neuroscience, Tel Aviv University, 69978 Tel Aviv, Israel.
Leonardo G CohenHuman Cortical Physiology and Neurorehabilitation Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD 20814 USA.

Funding

Cortical reorganization and plasticity In the Healthy BrainZIANS002978 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI COHEN, LEONARDO GREGORIO · 2009 to 2025
$38.0M
6 · The paper itself

Abstract

Performance improvements during early human motor skill learning are suggested to be driven by short periods of rest during practice, at the scale of seconds. To reveal the unknown mechanisms behind these "micro-offline" gains, we leveraged the sampling power offered by online crowdsourcing (cumulative

Indexed as

ConsolidationHuman behaviour

Identifiers

PMID32550003
PMCPMC7272649

What OpenQuestion holds

Textmetadata
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.