Cargando…

Pre-movement changes in sensorimotor beta oscillations predict motor adaptation drive

Beta frequency oscillations in scalp electroencephalography (EEG) recordings over the primary motor cortex have been associated with the preparation and execution of voluntary movements. Here, we test whether changes in beta frequency are related to the preparation of adapted movements in human, and...

Descripción completa

Detalles Bibliográficos
Autores principales: Darch, Henry T., Cerminara, Nadia L., Gilchrist, Iain D., Apps, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578788/
https://www.ncbi.nlm.nih.gov/pubmed/33087847
http://dx.doi.org/10.1038/s41598-020-74833-z
_version_ 1783598441242296320
author Darch, Henry T.
Cerminara, Nadia L.
Gilchrist, Iain D.
Apps, Richard
author_facet Darch, Henry T.
Cerminara, Nadia L.
Gilchrist, Iain D.
Apps, Richard
author_sort Darch, Henry T.
collection PubMed
description Beta frequency oscillations in scalp electroencephalography (EEG) recordings over the primary motor cortex have been associated with the preparation and execution of voluntary movements. Here, we test whether changes in beta frequency are related to the preparation of adapted movements in human, and whether such effects generalise to other species (cat). Eleven healthy adult humans performed a joystick visuomotor adaptation task. Beta (15–25 Hz) scalp EEG signals recorded over the motor cortex during a pre-movement preparatory phase were, on average, significantly reduced in amplitude during early adaptation trials compared to baseline, late adaptation, or aftereffect trials. The changes in beta were not related to measurements of reaction time or reach duration. We also recorded local field potential (LFP) activity within the primary motor cortex of three cats during a prism visuomotor adaptation task. Analysis of these signals revealed similar reductions in motor cortical LFP beta frequencies during early adaptation. This effect was present when controlling for any influence of the reaction time and reach duration. Overall, the results are consistent with a reduction in pre-movement beta oscillations predicting an increase in adaptive drive in upcoming task performance when motor errors are largest in magnitude and the rate of adaptation is greatest.
format Online
Article
Text
id pubmed-7578788
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-75787882020-10-23 Pre-movement changes in sensorimotor beta oscillations predict motor adaptation drive Darch, Henry T. Cerminara, Nadia L. Gilchrist, Iain D. Apps, Richard Sci Rep Article Beta frequency oscillations in scalp electroencephalography (EEG) recordings over the primary motor cortex have been associated with the preparation and execution of voluntary movements. Here, we test whether changes in beta frequency are related to the preparation of adapted movements in human, and whether such effects generalise to other species (cat). Eleven healthy adult humans performed a joystick visuomotor adaptation task. Beta (15–25 Hz) scalp EEG signals recorded over the motor cortex during a pre-movement preparatory phase were, on average, significantly reduced in amplitude during early adaptation trials compared to baseline, late adaptation, or aftereffect trials. The changes in beta were not related to measurements of reaction time or reach duration. We also recorded local field potential (LFP) activity within the primary motor cortex of three cats during a prism visuomotor adaptation task. Analysis of these signals revealed similar reductions in motor cortical LFP beta frequencies during early adaptation. This effect was present when controlling for any influence of the reaction time and reach duration. Overall, the results are consistent with a reduction in pre-movement beta oscillations predicting an increase in adaptive drive in upcoming task performance when motor errors are largest in magnitude and the rate of adaptation is greatest. Nature Publishing Group UK 2020-10-21 /pmc/articles/PMC7578788/ /pubmed/33087847 http://dx.doi.org/10.1038/s41598-020-74833-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Darch, Henry T.
Cerminara, Nadia L.
Gilchrist, Iain D.
Apps, Richard
Pre-movement changes in sensorimotor beta oscillations predict motor adaptation drive
title Pre-movement changes in sensorimotor beta oscillations predict motor adaptation drive
title_full Pre-movement changes in sensorimotor beta oscillations predict motor adaptation drive
title_fullStr Pre-movement changes in sensorimotor beta oscillations predict motor adaptation drive
title_full_unstemmed Pre-movement changes in sensorimotor beta oscillations predict motor adaptation drive
title_short Pre-movement changes in sensorimotor beta oscillations predict motor adaptation drive
title_sort pre-movement changes in sensorimotor beta oscillations predict motor adaptation drive
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578788/
https://www.ncbi.nlm.nih.gov/pubmed/33087847
http://dx.doi.org/10.1038/s41598-020-74833-z
work_keys_str_mv AT darchhenryt premovementchangesinsensorimotorbetaoscillationspredictmotoradaptationdrive
AT cerminaranadial premovementchangesinsensorimotorbetaoscillationspredictmotoradaptationdrive
AT gilchristiaind premovementchangesinsensorimotorbetaoscillationspredictmotoradaptationdrive
AT appsrichard premovementchangesinsensorimotorbetaoscillationspredictmotoradaptationdrive