Evidence map›Paper›PMID 35188457›Full record

ArticleeLife2022

Slow oscillation-spindle coupling strength predicts real-life gross-motor learning in adolescents and adults.

Michael A Hahn, Kathrin Bothe, Dominik Heib, Manuel Schabus, Randolph F Helfrich, Kerstin Hoedlmoser

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Slow Oscillation-Spindle Coupling Predicts Sequence-Based Language Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Review
  6. Article
  7. Sleep Consolidation Potentiates Sensorimotor Adaptation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  8. Article
  9. Review
  10. Review
  11. Neural reactivation during human sleep.Emerging topics in life sciences · 2023
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Aperiodic sleep networks promote memory consolidation.Trends in cognitive sciences · 2021
    Review
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

6 authors at 2 institutions in 4 countries.

Michael A HahnDepartment of Psychology, Laboratory for Sleep, Cognition and Consciousness Research, University of Salzburg, Salzburg, Austria.ORCID 0000-0002-3022-0552
Kathrin BotheDepartment of Psychology, Laboratory for Sleep, Cognition and Consciousness Research, University of Salzburg, Salzburg, Austria.
Dominik HeibDepartment of Psychology, Laboratory for Sleep, Cognition and Consciousness Research, University of Salzburg, Salzburg, Austria.
Manuel SchabusDepartment of Psychology, Laboratory for Sleep, Cognition and Consciousness Research, University of Salzburg, Salzburg, Austria.ORCID 0000-0001-5899-8772
Randolph F HelfrichHertie-Institute for Clinical Brain Research, University Medical Center Tübingen, Tübingen, Germany.ORCID 0000-0001-8045-3111
Kerstin HoedlmoserDepartment of Psychology, Laboratory for Sleep, Cognition and Consciousness Research, University of Salzburg, Salzburg, Austria.ORCID 0000-0001-5177-4389
University of Salzburg · ATUniversity Medical Center · US

Funding

Austrian Science Fund FWF P 25000Austrian Science Fund FWF W 1233
6 · The paper itself

Abstract

Previously, we demonstrated that precise temporal coordination between slow oscillations (SOs) and sleep spindles indexes declarative memory network development (Hahn et al., 2020). However, it is unclear whether these findings in the declarative memory domain also apply in the motor memory domain. Here, we compared adolescents and adults learning juggling, a real-life gross-motor task. Juggling performance was impacted by sleep and time of day effects. Critically, we found that improved task proficiency after sleep lead to an attenuation of the learning curve, suggesting a dynamic juggling learning process. We employed individualized cross-frequency coupling analyses to reduce inter- and intragroup variability of oscillatory features. Advancing our previous findings, we identified a more precise SO-spindle coupling in adults compared to adolescents. Importantly, coupling precision over motor areas predicted overnight changes in task proficiency and learning curve, indicating that SO-spindle coupling relates to the dynamic motor learning process. Our results provide first evidence that regionally specific, precisely coupled sleep oscillations support gross-motor learning.

Indexed as

LearningMotor SkillsAdolescentAdultFemaleHumansMalePolysomnographySleepcross-frequency couplingdevelopmentdevelopmental biologyhumanmemory consolidationmotor memoryneurosciencesleepsleep spindles

Identifiers

PMID35188457
PMCPMC8860438
OpenAlexW4220754819

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.