Evidence map›Paper›PMID 33215085›Full record

ArticleBrain communications2020

Sensorimotor cortex beta oscillations reflect motor skill learning ability after stroke.

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

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

38 citing papers in PubMed, 62 citations in OpenAlex.

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  19. Distinct Cortical Correlates of Perception and Motor Function in Balance Control.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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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

7 authors at 5 institutions in 3 countries.

Svenja EspenhahnDepartment of Radiology, Cumming School of Medicine, University of Calgary, Calgary, Alberta T2N 1N4, Canada.ORCID 0000-0002-4460-3853
Holly E RossiterSchool of Psychology, Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff CF24 4HQ, UK.
Bernadette C M van WijkIntegrative Model-based Cognitive Neuroscience Research Unit, Department of Psychology, University of Amsterdam, Amsterdam 1018 WT, The Netherlands.
Nell RedmanDepartment of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London WC1N 3BG, UK.
Jane M RondinaDepartment of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London WC1N 3BG, UK.
Joern DiedrichsenDepartment of Computer Science, Department of Statistical and Actuarial Sciences, Brain and Mind Institute, University of Western Ontario, London, Ontario N6A 5B7, Canada.
Nick S WardDepartment of Clinical and Movement Neurosciences, Institute of Neurology, University College London, London WC1N 3BG, UK.
University College London · GBCardiff University · GBUniversity of Amsterdam · NLUniversity of Calgary · CAWestern University · CA

Funding

Wellcome Trust
6 · The paper itself

Abstract

Recovery of skilled movement after stroke is assumed to depend on motor learning. However, the capacity for motor learning and factors that influence motor learning after stroke have received little attention. In this study, we first compared motor skill acquisition and retention between well-recovered stroke patients and age- and performance-matched healthy controls. We then tested whether beta oscillations (15-30 Hz) from sensorimotor cortices contribute to predicting training-related motor performance. Eighteen well-recovered chronic stroke survivors (mean age 64 ± 8 years, range: 50-74 years) and 20 age- and sex-matched healthy controls were trained on a continuous tracking task and subsequently retested after initial training (45-60 min and 24 h later). Scalp electroencephalography was recorded during the performance of a simple motor task before each training and retest session. Stroke patients demonstrated capacity for motor skill learning, but it was diminished compared to age- and performance-matched healthy controls. Furthermore, although the properties of beta oscillations prior to training were comparable between stroke patients and healthy controls, stroke patients did show less change in beta measures with motor learning. Lastly, although beta oscillations did not help to predict motor performance immediately after training, contralateral (ipsilesional) sensorimotor cortex post-movement beta rebound measured after training helped predict future motor performance, 24 h after training. This finding suggests that neurophysiological measures such as beta oscillations can help predict response to motor training in chronic stroke patients and may offer novel targets for therapeutic interventions.

Indexed as

beta oscillationsEEGmotor learningplasticitystroke

Identifiers

PMID33215085
PMCPMC7660041
OpenAlexW3092381209

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.