Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking

Abstract Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the feasibility of neural decoding for both users’ gait intent and continuous kinematics. However, the dynamics of cortical involvement in human upright walking with a closed-loop BCI has not been investi...

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Autores principales:	Trieu Phat Luu, Sho Nakagome, Yongtian He, Jose L. Contreras-Vidal
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e91d28c2f0df4036b55dd3662e42cc4a
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spelling	oai:doaj.org-article:e91d28c2f0df4036b55dd3662e42cc4a2021-12-02T16:05:57ZReal-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking10.1038/s41598-017-09187-02045-2322https://doaj.org/article/e91d28c2f0df4036b55dd3662e42cc4a2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-09187-0https://doaj.org/toc/2045-2322Abstract Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the feasibility of neural decoding for both users’ gait intent and continuous kinematics. However, the dynamics of cortical involvement in human upright walking with a closed-loop BCI has not been investigated. This study aims to investigate the changes of cortical involvement in human treadmill walking with and without BCI control of a walking avatar. Source localization revealed significant differences in cortical network activity between walking with and without closed-loop BCI control. Our results showed sustained α/µ suppression in the Posterior Parietal Cortex and Inferior Parietal Lobe, indicating increases of cortical involvement during walking with BCI control. We also observed significant increased activity of the Anterior Cingulate Cortex (ACC) in the low frequency band suggesting the presence of a cortical network involved in error monitoring and motor learning. Additionally, the presence of low γ modulations in the ACC and Superior Temporal Gyrus may associate with increases of voluntary control of human gait. This work is a further step toward the development of a novel training paradigm for improving the efficacy of rehabilitation in a top-down approach.Trieu Phat LuuSho NakagomeYongtian HeJose L. Contreras-VidalNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Trieu Phat Luu Sho Nakagome Yongtian He Jose L. Contreras-Vidal Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking
description	Abstract Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the feasibility of neural decoding for both users’ gait intent and continuous kinematics. However, the dynamics of cortical involvement in human upright walking with a closed-loop BCI has not been investigated. This study aims to investigate the changes of cortical involvement in human treadmill walking with and without BCI control of a walking avatar. Source localization revealed significant differences in cortical network activity between walking with and without closed-loop BCI control. Our results showed sustained α/µ suppression in the Posterior Parietal Cortex and Inferior Parietal Lobe, indicating increases of cortical involvement during walking with BCI control. We also observed significant increased activity of the Anterior Cingulate Cortex (ACC) in the low frequency band suggesting the presence of a cortical network involved in error monitoring and motor learning. Additionally, the presence of low γ modulations in the ACC and Superior Temporal Gyrus may associate with increases of voluntary control of human gait. This work is a further step toward the development of a novel training paradigm for improving the efficacy of rehabilitation in a top-down approach.
format	article
author	Trieu Phat Luu Sho Nakagome Yongtian He Jose L. Contreras-Vidal
author_facet	Trieu Phat Luu Sho Nakagome Yongtian He Jose L. Contreras-Vidal
author_sort	Trieu Phat Luu
title	Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking
title_short	Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking
title_full	Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking
title_fullStr	Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking
title_full_unstemmed	Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking
title_sort	real-time eeg-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/e91d28c2f0df4036b55dd3662e42cc4a
work_keys_str_mv	AT trieuphatluu realtimeeegbasedbraincomputerinterfacetoavirtualavatarenhancescorticalinvolvementinhumantreadmillwalking AT shonakagome realtimeeegbasedbraincomputerinterfacetoavirtualavatarenhancescorticalinvolvementinhumantreadmillwalking AT yongtianhe realtimeeegbasedbraincomputerinterfacetoavirtualavatarenhancescorticalinvolvementinhumantreadmillwalking AT joselcontrerasvidal realtimeeegbasedbraincomputerinterfacetoavirtualavatarenhancescorticalinvolvementinhumantreadmillwalking
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Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking

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