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Medial frontal negativities predict performance improvements during motor sequence but not motor adaptation learning
Alterations in our environment require us to learn or alter motor skills to remain efficient. Also, damage or injury may require the relearning of motor skills. Two types have been identified: movement adaptation and motor sequence learning. Doyonet al. (2003, Distinct contribution of the cortico‐st...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816271/ https://www.ncbi.nlm.nih.gov/pubmed/33111987 http://dx.doi.org/10.1111/psyp.13708 |
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author | Matsuhashi, Takuto Segalowitz, Sidney J. Murphy, Timothy I. Nagano, Yuichiro Hirao, Takahiro Masaki, Hiroaki |
author_facet | Matsuhashi, Takuto Segalowitz, Sidney J. Murphy, Timothy I. Nagano, Yuichiro Hirao, Takahiro Masaki, Hiroaki |
author_sort | Matsuhashi, Takuto |
collection | PubMed |
description | Alterations in our environment require us to learn or alter motor skills to remain efficient. Also, damage or injury may require the relearning of motor skills. Two types have been identified: movement adaptation and motor sequence learning. Doyonet al. (2003, Distinct contribution of the cortico‐striatal and cortico‐cerebellar systems to motor skill learning. Neuropsychologia, 41(3), 252‐262) proposed a model to explain the neural mechanisms related to adaptation (cortico‐cerebellar) and motor sequence learning (cortico‐striatum) tasks. We hypothesized that medial frontal negativities (MFNs), event‐related electrocortical responses including the error‐related negativity (ERN) and correct‐response‐related negativity (CRN), would be trait biomarkers for skill in motor sequence learning due to their relationship with striatal neural generators in a network involving the anterior cingulate and possibly the supplementary motor area. We examined 36 participants' improvement in a motor adaptation and a motor sequence learning task and measured MFNs elicited in a separate Spatial Stroop (conflict) task. We found both ERN and CRN strongly predicted performance improvement in the sequential motor task but not in the adaptation task, supporting this aspect of the Doyon model. Interestingly, the CRN accounted for additional unique variance over the variance shared with the ERN suggesting an expansion of the model. |
format | Online Article Text |
id | pubmed-7816271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78162712021-01-27 Medial frontal negativities predict performance improvements during motor sequence but not motor adaptation learning Matsuhashi, Takuto Segalowitz, Sidney J. Murphy, Timothy I. Nagano, Yuichiro Hirao, Takahiro Masaki, Hiroaki Psychophysiology Original Articles Alterations in our environment require us to learn or alter motor skills to remain efficient. Also, damage or injury may require the relearning of motor skills. Two types have been identified: movement adaptation and motor sequence learning. Doyonet al. (2003, Distinct contribution of the cortico‐striatal and cortico‐cerebellar systems to motor skill learning. Neuropsychologia, 41(3), 252‐262) proposed a model to explain the neural mechanisms related to adaptation (cortico‐cerebellar) and motor sequence learning (cortico‐striatum) tasks. We hypothesized that medial frontal negativities (MFNs), event‐related electrocortical responses including the error‐related negativity (ERN) and correct‐response‐related negativity (CRN), would be trait biomarkers for skill in motor sequence learning due to their relationship with striatal neural generators in a network involving the anterior cingulate and possibly the supplementary motor area. We examined 36 participants' improvement in a motor adaptation and a motor sequence learning task and measured MFNs elicited in a separate Spatial Stroop (conflict) task. We found both ERN and CRN strongly predicted performance improvement in the sequential motor task but not in the adaptation task, supporting this aspect of the Doyon model. Interestingly, the CRN accounted for additional unique variance over the variance shared with the ERN suggesting an expansion of the model. John Wiley and Sons Inc. 2020-10-27 2021-01 /pmc/articles/PMC7816271/ /pubmed/33111987 http://dx.doi.org/10.1111/psyp.13708 Text en © 2020 The Authors. Psychophysiology published by Wiley Periodicals LLC on behalf of Society for Psychophysiological Research This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Matsuhashi, Takuto Segalowitz, Sidney J. Murphy, Timothy I. Nagano, Yuichiro Hirao, Takahiro Masaki, Hiroaki Medial frontal negativities predict performance improvements during motor sequence but not motor adaptation learning |
title | Medial frontal negativities predict performance improvements during motor sequence but not motor adaptation learning |
title_full | Medial frontal negativities predict performance improvements during motor sequence but not motor adaptation learning |
title_fullStr | Medial frontal negativities predict performance improvements during motor sequence but not motor adaptation learning |
title_full_unstemmed | Medial frontal negativities predict performance improvements during motor sequence but not motor adaptation learning |
title_short | Medial frontal negativities predict performance improvements during motor sequence but not motor adaptation learning |
title_sort | medial frontal negativities predict performance improvements during motor sequence but not motor adaptation learning |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816271/ https://www.ncbi.nlm.nih.gov/pubmed/33111987 http://dx.doi.org/10.1111/psyp.13708 |
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