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Brain–computer interface treatment for gait rehabilitation in stroke patients
The use of Brain–Computer Interfaces (BCI) as rehabilitation tools for chronically ill neurological patients has become more widespread. BCIs combined with other techniques allow the user to restore neurological function by inducing neuroplasticity through real-time detection of motor-imagery (MI) a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618349/ https://www.ncbi.nlm.nih.gov/pubmed/37920297 http://dx.doi.org/10.3389/fnins.2023.1256077 |
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author | Sebastián-Romagosa, Marc Cho, Woosang Ortner, Rupert Sieghartsleitner, Sebastian Von Oertzen, Tim J. Kamada, Kyousuke Laureys, Steven Allison, Brendan Z. Guger, Christoph |
author_facet | Sebastián-Romagosa, Marc Cho, Woosang Ortner, Rupert Sieghartsleitner, Sebastian Von Oertzen, Tim J. Kamada, Kyousuke Laureys, Steven Allison, Brendan Z. Guger, Christoph |
author_sort | Sebastián-Romagosa, Marc |
collection | PubMed |
description | The use of Brain–Computer Interfaces (BCI) as rehabilitation tools for chronically ill neurological patients has become more widespread. BCIs combined with other techniques allow the user to restore neurological function by inducing neuroplasticity through real-time detection of motor-imagery (MI) as patients perform therapy tasks. Twenty-five stroke patients with gait disability were recruited for this study. Participants performed 25 sessions with the MI-BCI and assessment visits to track functional changes during the therapy. The results of this study demonstrated a clinically significant increase in walking speed of 0.19 m/s, 95%CI [0.13–0.25], p < 0.001. Patients also reduced spasticity and improved their range of motion and muscle contraction. The BCI treatment was effective in promoting long-lasting functional improvements in the gait speed of chronic stroke survivors. Patients have more movements in the lower limb; therefore, they can walk better and safer. This functional improvement can be explained by improved neuroplasticity in the central nervous system. |
format | Online Article Text |
id | pubmed-10618349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106183492023-11-02 Brain–computer interface treatment for gait rehabilitation in stroke patients Sebastián-Romagosa, Marc Cho, Woosang Ortner, Rupert Sieghartsleitner, Sebastian Von Oertzen, Tim J. Kamada, Kyousuke Laureys, Steven Allison, Brendan Z. Guger, Christoph Front Neurosci Neuroscience The use of Brain–Computer Interfaces (BCI) as rehabilitation tools for chronically ill neurological patients has become more widespread. BCIs combined with other techniques allow the user to restore neurological function by inducing neuroplasticity through real-time detection of motor-imagery (MI) as patients perform therapy tasks. Twenty-five stroke patients with gait disability were recruited for this study. Participants performed 25 sessions with the MI-BCI and assessment visits to track functional changes during the therapy. The results of this study demonstrated a clinically significant increase in walking speed of 0.19 m/s, 95%CI [0.13–0.25], p < 0.001. Patients also reduced spasticity and improved their range of motion and muscle contraction. The BCI treatment was effective in promoting long-lasting functional improvements in the gait speed of chronic stroke survivors. Patients have more movements in the lower limb; therefore, they can walk better and safer. This functional improvement can be explained by improved neuroplasticity in the central nervous system. Frontiers Media S.A. 2023-10-18 /pmc/articles/PMC10618349/ /pubmed/37920297 http://dx.doi.org/10.3389/fnins.2023.1256077 Text en Copyright © 2023 Sebastián-Romagosa, Cho, Ortner, Sieghartsleitner, Von Oertzen, Kamada, Laureys, Allison and Guger. https://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 Sebastián-Romagosa, Marc Cho, Woosang Ortner, Rupert Sieghartsleitner, Sebastian Von Oertzen, Tim J. Kamada, Kyousuke Laureys, Steven Allison, Brendan Z. Guger, Christoph Brain–computer interface treatment for gait rehabilitation in stroke patients |
title | Brain–computer interface treatment for gait rehabilitation in stroke patients |
title_full | Brain–computer interface treatment for gait rehabilitation in stroke patients |
title_fullStr | Brain–computer interface treatment for gait rehabilitation in stroke patients |
title_full_unstemmed | Brain–computer interface treatment for gait rehabilitation in stroke patients |
title_short | Brain–computer interface treatment for gait rehabilitation in stroke patients |
title_sort | brain–computer interface treatment for gait rehabilitation in stroke patients |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618349/ https://www.ncbi.nlm.nih.gov/pubmed/37920297 http://dx.doi.org/10.3389/fnins.2023.1256077 |
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