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EEG Changes in Time and Time-Frequency Domain During Movement Preparation and Execution in Stroke Patients

This study investigated electroencephalogram (EEG) changes during movement preparation and execution in stroke patients. EEG-based event-related potential (ERP) technology was used to measure brain activity changes. Seventeen stroke patients participated in this study and completed ERP tests that we...

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Autores principales: Li, Hai, Huang, Gan, Lin, Qiang, Zhao, Jiangli, Fu, Qiang, Li, Le, Mao, Yurong, Wei, Xijun, Yang, Wanzhang, Wang, Bingshui, Zhang, Zhiguo, Huang, Dongfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7468244/
https://www.ncbi.nlm.nih.gov/pubmed/32973428
http://dx.doi.org/10.3389/fnins.2020.00827
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author Li, Hai
Huang, Gan
Lin, Qiang
Zhao, Jiangli
Fu, Qiang
Li, Le
Mao, Yurong
Wei, Xijun
Yang, Wanzhang
Wang, Bingshui
Zhang, Zhiguo
Huang, Dongfeng
author_facet Li, Hai
Huang, Gan
Lin, Qiang
Zhao, Jiangli
Fu, Qiang
Li, Le
Mao, Yurong
Wei, Xijun
Yang, Wanzhang
Wang, Bingshui
Zhang, Zhiguo
Huang, Dongfeng
author_sort Li, Hai
collection PubMed
description This study investigated electroencephalogram (EEG) changes during movement preparation and execution in stroke patients. EEG-based event-related potential (ERP) technology was used to measure brain activity changes. Seventeen stroke patients participated in this study and completed ERP tests that were designed to measure EEG changes during unilateral upper limb movements in preparation and execution stages, with Instruction Response Movement (IRM) and Cued Instruction Response Movement (CIRM) paradigms. EEG data were analyzed using motor potential (MP) in the time domain and the mu-rhythm and beta frequency band response mean value (R-means) in the time–frequency domain. In IRM, the MP amplitude at Cz was higher during hemiplegic arm movement than during unaffected arm movement. MP latency was shorter at Cz and the contralesional motor cortex during hemiplegic arm movement in CIRM compared to IRM. No significant differences were found in R-means among locations, between movement sides in both ERP tests. This study presents the brain activity changes in the time and time–frequency domains in stroke patients during movement preparation and execution and supports the contralesional compensation and adjacent-region compensation mechanism of post-stroke brain reconstruction. These findings may contribute to future rehabilitation research about neuroplasticity and technology development such as the brain–computer interface.
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spelling pubmed-74682442020-09-23 EEG Changes in Time and Time-Frequency Domain During Movement Preparation and Execution in Stroke Patients Li, Hai Huang, Gan Lin, Qiang Zhao, Jiangli Fu, Qiang Li, Le Mao, Yurong Wei, Xijun Yang, Wanzhang Wang, Bingshui Zhang, Zhiguo Huang, Dongfeng Front Neurosci Neuroscience This study investigated electroencephalogram (EEG) changes during movement preparation and execution in stroke patients. EEG-based event-related potential (ERP) technology was used to measure brain activity changes. Seventeen stroke patients participated in this study and completed ERP tests that were designed to measure EEG changes during unilateral upper limb movements in preparation and execution stages, with Instruction Response Movement (IRM) and Cued Instruction Response Movement (CIRM) paradigms. EEG data were analyzed using motor potential (MP) in the time domain and the mu-rhythm and beta frequency band response mean value (R-means) in the time–frequency domain. In IRM, the MP amplitude at Cz was higher during hemiplegic arm movement than during unaffected arm movement. MP latency was shorter at Cz and the contralesional motor cortex during hemiplegic arm movement in CIRM compared to IRM. No significant differences were found in R-means among locations, between movement sides in both ERP tests. This study presents the brain activity changes in the time and time–frequency domains in stroke patients during movement preparation and execution and supports the contralesional compensation and adjacent-region compensation mechanism of post-stroke brain reconstruction. These findings may contribute to future rehabilitation research about neuroplasticity and technology development such as the brain–computer interface. Frontiers Media S.A. 2020-08-20 /pmc/articles/PMC7468244/ /pubmed/32973428 http://dx.doi.org/10.3389/fnins.2020.00827 Text en Copyright © 2020 Li, Huang, Lin, Zhao, Fu, Li, Mao, Wei, Yang, Wang, Zhang and Huang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Li, Hai
Huang, Gan
Lin, Qiang
Zhao, Jiangli
Fu, Qiang
Li, Le
Mao, Yurong
Wei, Xijun
Yang, Wanzhang
Wang, Bingshui
Zhang, Zhiguo
Huang, Dongfeng
EEG Changes in Time and Time-Frequency Domain During Movement Preparation and Execution in Stroke Patients
title EEG Changes in Time and Time-Frequency Domain During Movement Preparation and Execution in Stroke Patients
title_full EEG Changes in Time and Time-Frequency Domain During Movement Preparation and Execution in Stroke Patients
title_fullStr EEG Changes in Time and Time-Frequency Domain During Movement Preparation and Execution in Stroke Patients
title_full_unstemmed EEG Changes in Time and Time-Frequency Domain During Movement Preparation and Execution in Stroke Patients
title_short EEG Changes in Time and Time-Frequency Domain During Movement Preparation and Execution in Stroke Patients
title_sort eeg changes in time and time-frequency domain during movement preparation and execution in stroke patients
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7468244/
https://www.ncbi.nlm.nih.gov/pubmed/32973428
http://dx.doi.org/10.3389/fnins.2020.00827
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