Cargando…

Change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy

BACKGROUND: For severely paralyzed people, a brain-computer interface (BCI) provides a way of re-establishing communication. Although subjects with muscular dystrophy (MD) appear to be potential BCI users, the actual long-term effects of BCI use on brain activities in MD subjects have yet to be clar...

Descripción completa

Detalles Bibliográficos
Autores principales: Hashimoto, Yasunari, Ushiba, Junichi, Kimura, Akio, Liu, Meigen, Tomita, Yutaka
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2949766/
https://www.ncbi.nlm.nih.gov/pubmed/20846418
http://dx.doi.org/10.1186/1471-2202-11-117
_version_ 1782187574343761920
author Hashimoto, Yasunari
Ushiba, Junichi
Kimura, Akio
Liu, Meigen
Tomita, Yutaka
author_facet Hashimoto, Yasunari
Ushiba, Junichi
Kimura, Akio
Liu, Meigen
Tomita, Yutaka
author_sort Hashimoto, Yasunari
collection PubMed
description BACKGROUND: For severely paralyzed people, a brain-computer interface (BCI) provides a way of re-establishing communication. Although subjects with muscular dystrophy (MD) appear to be potential BCI users, the actual long-term effects of BCI use on brain activities in MD subjects have yet to be clarified. To investigate these effects, we followed BCI use by a chronic tetraplegic subject with MD over 5 months. The topographic changes in an electroencephalogram (EEG) after long-term use of the virtual reality (VR)-based BCI were also assessed. Our originally developed BCI system was used to classify an EEG recorded over the sensorimotor cortex in real time and estimate the user's motor intention (MI) in 3 different limb movements: feet, left hand, and right hand. An avatar in the internet-based VR was controlled in accordance with the results of the EEG classification by the BCI. The subject was trained to control his avatar via the BCI by strolling in the VR for 1 hour a day and then continued the same training twice a month at his home. RESULTS: After the training, the error rate of the EEG classification decreased from 40% to 28%. The subject successfully walked around in the VR using only his MI and chatted with other users through a voice-chat function embedded in the internet-based VR. With this improvement in BCI control, event-related desynchronization (ERD) following MI was significantly enhanced (p < 0.01) for feet MI (from -29% to -55%), left-hand MI (from -23% to -42%), and right-hand MI (from -22% to -51%). CONCLUSIONS: These results show that our subject with severe MD was able to learn to control his EEG signal and communicate with other users through use of VR navigation and suggest that an internet-based VR has the potential to provide paralyzed people with the opportunity for easy communication.
format Text
id pubmed-2949766
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-29497662010-11-03 Change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy Hashimoto, Yasunari Ushiba, Junichi Kimura, Akio Liu, Meigen Tomita, Yutaka BMC Neurosci Research Article BACKGROUND: For severely paralyzed people, a brain-computer interface (BCI) provides a way of re-establishing communication. Although subjects with muscular dystrophy (MD) appear to be potential BCI users, the actual long-term effects of BCI use on brain activities in MD subjects have yet to be clarified. To investigate these effects, we followed BCI use by a chronic tetraplegic subject with MD over 5 months. The topographic changes in an electroencephalogram (EEG) after long-term use of the virtual reality (VR)-based BCI were also assessed. Our originally developed BCI system was used to classify an EEG recorded over the sensorimotor cortex in real time and estimate the user's motor intention (MI) in 3 different limb movements: feet, left hand, and right hand. An avatar in the internet-based VR was controlled in accordance with the results of the EEG classification by the BCI. The subject was trained to control his avatar via the BCI by strolling in the VR for 1 hour a day and then continued the same training twice a month at his home. RESULTS: After the training, the error rate of the EEG classification decreased from 40% to 28%. The subject successfully walked around in the VR using only his MI and chatted with other users through a voice-chat function embedded in the internet-based VR. With this improvement in BCI control, event-related desynchronization (ERD) following MI was significantly enhanced (p < 0.01) for feet MI (from -29% to -55%), left-hand MI (from -23% to -42%), and right-hand MI (from -22% to -51%). CONCLUSIONS: These results show that our subject with severe MD was able to learn to control his EEG signal and communicate with other users through use of VR navigation and suggest that an internet-based VR has the potential to provide paralyzed people with the opportunity for easy communication. BioMed Central 2010-09-16 /pmc/articles/PMC2949766/ /pubmed/20846418 http://dx.doi.org/10.1186/1471-2202-11-117 Text en Copyright ©2010 Hashimoto et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Hashimoto, Yasunari
Ushiba, Junichi
Kimura, Akio
Liu, Meigen
Tomita, Yutaka
Change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy
title Change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy
title_full Change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy
title_fullStr Change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy
title_full_unstemmed Change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy
title_short Change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy
title_sort change in brain activity through virtual reality-based brain-machine communication in a chronic tetraplegic subject with muscular dystrophy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2949766/
https://www.ncbi.nlm.nih.gov/pubmed/20846418
http://dx.doi.org/10.1186/1471-2202-11-117
work_keys_str_mv AT hashimotoyasunari changeinbrainactivitythroughvirtualrealitybasedbrainmachinecommunicationinachronictetraplegicsubjectwithmusculardystrophy
AT ushibajunichi changeinbrainactivitythroughvirtualrealitybasedbrainmachinecommunicationinachronictetraplegicsubjectwithmusculardystrophy
AT kimuraakio changeinbrainactivitythroughvirtualrealitybasedbrainmachinecommunicationinachronictetraplegicsubjectwithmusculardystrophy
AT liumeigen changeinbrainactivitythroughvirtualrealitybasedbrainmachinecommunicationinachronictetraplegicsubjectwithmusculardystrophy
AT tomitayutaka changeinbrainactivitythroughvirtualrealitybasedbrainmachinecommunicationinachronictetraplegicsubjectwithmusculardystrophy