Evidence map›Paper›PMID 30954709›Full record

ArticleNeuroImage2019

Cortical beta oscillations are associated with motor performance following visuomotor learning.

Svenja Espenhahn, Bernadette C M van Wijk, Holly E Rossiter, Archy O de Berker, Nell D Redman, Jane Rondina, Joern Diedrichsen, Nick S Ward

Abstract read
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Dopamine D2 Receptor Modulates Exercise Related Effect on Cortical Excitation/Inhibition and Motor Skill Acquisition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

8 authors.

Svenja EspenhahnDepartment of Clinical and Movement Neurosciences, Institute of Neurology, University College London, 33 Queen Square, WC1N 3BG, London, UK; Department of Radiology, Cumming School of Medicine, University of Calgary, 2500, University Drive NW, Calgary, AB T2N 4N1, Canada. Electronic address: Svenja.Espenhahn@ucalgary.ca.
Bernadette C M van WijkIntegrative Model-based Cognitive Neuroscience Research Unit, Department of Psychology, University of Amsterdam, Postbus 15926, 1001, NK, Amsterdam, the Netherlands; Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, WC1N 3BG, London, UK.
Holly E RossiterCardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Maindy Road, CF24 4HQ, Cardiff, UK.
Archy O de BerkerDepartment of Clinical and Movement Neurosciences, Institute of Neurology, University College London, 33 Queen Square, WC1N 3BG, London, UK; Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, WC1N 3BG, London, UK.
Nell D RedmanDepartment of Clinical and Movement Neurosciences, Institute of Neurology, University College London, 33 Queen Square, WC1N 3BG, London, UK.
Jane RondinaDepartment of Clinical and Movement Neurosciences, Institute of Neurology, University College London, 33 Queen Square, WC1N 3BG, London, UK.
Joern DiedrichsenBrain and Mind Institute, University of Western Ontario, London, ON N6A 3K7, Canada.
Nick S WardDepartment of Clinical and Movement Neurosciences, Institute of Neurology, University College London, 33 Queen Square, WC1N 3BG, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

People vary in their capacity to learn and retain new motor skills. Although the relationship between neuronal oscillations in the beta frequency range (15-30 Hz) and motor behaviour is well established, the electrophysiological mechanisms underlying individual differences in motor learning are incompletely understood. Here, we investigated the degree to which measures of resting and movement-related beta power from sensorimotor cortex account for inter-individual differences in motor learning behaviour in the young and elderly. Twenty young (18-30 years) and twenty elderly (62-77 years) healthy adults were trained on a novel wrist flexion/extension tracking task and subsequently retested at two different time points (45-60 min and 24 h after initial training). Scalp EEG was recorded during a separate simple motor task before each training and retest session. Although short-term motor learning was comparable between young and elderly individuals, there was considerable variability within groups with subsequent analysis aiming to find the predictors of this variability. As expected, performance during the training phase was the best predictor of performance at later time points. However, regression analysis revealed that movement-related beta activity significantly explained additional variance in individual performance levels 45-60 min, but not 24 h after initial training. In the context of disease, these findings suggest that measurements of beta-band activity may offer novel targets for therapeutic interventions designed to promote rehabilitative outcomes.

Indexed as

AdolescentAdultAgedBeta RhythmFemaleHumansLearningMaleMiddle AgedMotor SkillsSensorimotor CortexYoung AdultAgeingBeta oscillationsEEGMotor learningPlasticitySensorimotor cortex

Identifiers

PMID30954709
PMCPMC6547051

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.