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Virtual reality and motor imagery for early post-stroke rehabilitation

BACKGROUND: Motor impairment is a common consequence of stroke causing difficulty in independent movement. The first month of post-stroke rehabilitation is the most effective period for recovery. Movement imagination, known as motor imagery, in combination with virtual reality may provide a way for...

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Autores principales: Choy, Chi S., Fang, Qiang, Neville, Katrina, Ding, Bingrui, Kumar, Akshay, Mahmoud, Seedahmed S., Gu, Xudong, Fu, Jianming, Jelfs, Beth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320905/
https://www.ncbi.nlm.nih.gov/pubmed/37407988
http://dx.doi.org/10.1186/s12938-023-01124-9
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author Choy, Chi S.
Fang, Qiang
Neville, Katrina
Ding, Bingrui
Kumar, Akshay
Mahmoud, Seedahmed S.
Gu, Xudong
Fu, Jianming
Jelfs, Beth
author_facet Choy, Chi S.
Fang, Qiang
Neville, Katrina
Ding, Bingrui
Kumar, Akshay
Mahmoud, Seedahmed S.
Gu, Xudong
Fu, Jianming
Jelfs, Beth
author_sort Choy, Chi S.
collection PubMed
description BACKGROUND: Motor impairment is a common consequence of stroke causing difficulty in independent movement. The first month of post-stroke rehabilitation is the most effective period for recovery. Movement imagination, known as motor imagery, in combination with virtual reality may provide a way for stroke patients with severe motor disabilities to begin rehabilitation. METHODS: The aim of this study is to verify whether motor imagery and virtual reality help to activate stroke patients’ motor cortex. 16 acute/subacute (< 6 months) stroke patients participated in this study. All participants performed motor imagery of basketball shooting which involved the following tasks: listening to audio instruction only, watching a basketball shooting animation in 3D with audio, and also performing motor imagery afterwards. Electroencephalogram (EEG) was recorded for analysis of motor-related features of the brain such as power spectral analysis in the [Formula: see text] and [Formula: see text] frequency bands and spectral entropy. 18 EEG channels over the motor cortex were used for all stroke patients. RESULTS: All results are normalised relative to all tasks for each participant. The power spectral densities peak near the [Formula: see text] band for all participants and also the [Formula: see text] band for some participants. Tasks with instructions during motor imagery generally show greater power spectral peaks. The p-values of the Wilcoxon signed-rank test for band power comparison from the 18 EEG channels between different pairs of tasks show a 0.01 significance of rejecting the band powers being the same for most tasks done by stroke subjects. The motor cortex of most stroke patients is more active when virtual reality is involved during motor imagery as indicated by their respective scalp maps of band power and spectral entropy. CONCLUSION: The resulting activation of stroke patient’s motor cortices in this study reveals evidence that it is induced by imagination of movement and virtual reality supports motor imagery. The framework of the current study also provides an efficient way to investigate motor imagery and virtual reality during post-stroke rehabilitation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12938-023-01124-9.
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spelling pubmed-103209052023-07-06 Virtual reality and motor imagery for early post-stroke rehabilitation Choy, Chi S. Fang, Qiang Neville, Katrina Ding, Bingrui Kumar, Akshay Mahmoud, Seedahmed S. Gu, Xudong Fu, Jianming Jelfs, Beth Biomed Eng Online Research BACKGROUND: Motor impairment is a common consequence of stroke causing difficulty in independent movement. The first month of post-stroke rehabilitation is the most effective period for recovery. Movement imagination, known as motor imagery, in combination with virtual reality may provide a way for stroke patients with severe motor disabilities to begin rehabilitation. METHODS: The aim of this study is to verify whether motor imagery and virtual reality help to activate stroke patients’ motor cortex. 16 acute/subacute (< 6 months) stroke patients participated in this study. All participants performed motor imagery of basketball shooting which involved the following tasks: listening to audio instruction only, watching a basketball shooting animation in 3D with audio, and also performing motor imagery afterwards. Electroencephalogram (EEG) was recorded for analysis of motor-related features of the brain such as power spectral analysis in the [Formula: see text] and [Formula: see text] frequency bands and spectral entropy. 18 EEG channels over the motor cortex were used for all stroke patients. RESULTS: All results are normalised relative to all tasks for each participant. The power spectral densities peak near the [Formula: see text] band for all participants and also the [Formula: see text] band for some participants. Tasks with instructions during motor imagery generally show greater power spectral peaks. The p-values of the Wilcoxon signed-rank test for band power comparison from the 18 EEG channels between different pairs of tasks show a 0.01 significance of rejecting the band powers being the same for most tasks done by stroke subjects. The motor cortex of most stroke patients is more active when virtual reality is involved during motor imagery as indicated by their respective scalp maps of band power and spectral entropy. CONCLUSION: The resulting activation of stroke patient’s motor cortices in this study reveals evidence that it is induced by imagination of movement and virtual reality supports motor imagery. The framework of the current study also provides an efficient way to investigate motor imagery and virtual reality during post-stroke rehabilitation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12938-023-01124-9. BioMed Central 2023-07-05 /pmc/articles/PMC10320905/ /pubmed/37407988 http://dx.doi.org/10.1186/s12938-023-01124-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Choy, Chi S.
Fang, Qiang
Neville, Katrina
Ding, Bingrui
Kumar, Akshay
Mahmoud, Seedahmed S.
Gu, Xudong
Fu, Jianming
Jelfs, Beth
Virtual reality and motor imagery for early post-stroke rehabilitation
title Virtual reality and motor imagery for early post-stroke rehabilitation
title_full Virtual reality and motor imagery for early post-stroke rehabilitation
title_fullStr Virtual reality and motor imagery for early post-stroke rehabilitation
title_full_unstemmed Virtual reality and motor imagery for early post-stroke rehabilitation
title_short Virtual reality and motor imagery for early post-stroke rehabilitation
title_sort virtual reality and motor imagery for early post-stroke rehabilitation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320905/
https://www.ncbi.nlm.nih.gov/pubmed/37407988
http://dx.doi.org/10.1186/s12938-023-01124-9
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