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Cortical beta oscillations are associated with motor performance following visuomotor learning

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 inco...

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Autores principales: Espenhahn, Svenja, van Wijk, Bernadette C.M., Rossiter, Holly E., de Berker, Archy O., Redman, Nell D., Rondina, Jane, Diedrichsen, Joern, Ward, Nick S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547051/
https://www.ncbi.nlm.nih.gov/pubmed/30954709
http://dx.doi.org/10.1016/j.neuroimage.2019.03.079
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author Espenhahn, Svenja
van Wijk, Bernadette C.M.
Rossiter, Holly E.
de Berker, Archy O.
Redman, Nell D.
Rondina, Jane
Diedrichsen, Joern
Ward, Nick S.
author_facet Espenhahn, Svenja
van Wijk, Bernadette C.M.
Rossiter, Holly E.
de Berker, Archy O.
Redman, Nell D.
Rondina, Jane
Diedrichsen, Joern
Ward, Nick S.
author_sort Espenhahn, Svenja
collection PubMed
description 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.
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spelling pubmed-65470512019-07-15 Cortical beta oscillations are associated with motor performance following visuomotor learning Espenhahn, Svenja van Wijk, Bernadette C.M. Rossiter, Holly E. de Berker, Archy O. Redman, Nell D. Rondina, Jane Diedrichsen, Joern Ward, Nick S. Neuroimage Article 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. Academic Press 2019-07-15 /pmc/articles/PMC6547051/ /pubmed/30954709 http://dx.doi.org/10.1016/j.neuroimage.2019.03.079 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Espenhahn, Svenja
van Wijk, Bernadette C.M.
Rossiter, Holly E.
de Berker, Archy O.
Redman, Nell D.
Rondina, Jane
Diedrichsen, Joern
Ward, Nick S.
Cortical beta oscillations are associated with motor performance following visuomotor learning
title Cortical beta oscillations are associated with motor performance following visuomotor learning
title_full Cortical beta oscillations are associated with motor performance following visuomotor learning
title_fullStr Cortical beta oscillations are associated with motor performance following visuomotor learning
title_full_unstemmed Cortical beta oscillations are associated with motor performance following visuomotor learning
title_short Cortical beta oscillations are associated with motor performance following visuomotor learning
title_sort cortical beta oscillations are associated with motor performance following visuomotor learning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547051/
https://www.ncbi.nlm.nih.gov/pubmed/30954709
http://dx.doi.org/10.1016/j.neuroimage.2019.03.079
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