Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sebastián-Romagosa, Marc, Cho, Woosang, Ortner, Rupert, Sieghartsleitner, Sebastian, Von Oertzen, Tim J., Kamada, Kyousuke, Laureys, Steven, Allison, Brendan Z., Guger, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
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
_version_ 1785129756204728320
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
work_keys_str_mv AT sebastianromagosamarc braincomputerinterfacetreatmentforgaitrehabilitationinstrokepatients
AT chowoosang braincomputerinterfacetreatmentforgaitrehabilitationinstrokepatients
AT ortnerrupert braincomputerinterfacetreatmentforgaitrehabilitationinstrokepatients
AT sieghartsleitnersebastian braincomputerinterfacetreatmentforgaitrehabilitationinstrokepatients
AT vonoertzentimj braincomputerinterfacetreatmentforgaitrehabilitationinstrokepatients
AT kamadakyousuke braincomputerinterfacetreatmentforgaitrehabilitationinstrokepatients
AT laureyssteven braincomputerinterfacetreatmentforgaitrehabilitationinstrokepatients
AT allisonbrendanz braincomputerinterfacetreatmentforgaitrehabilitationinstrokepatients
AT gugerchristoph braincomputerinterfacetreatmentforgaitrehabilitationinstrokepatients