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A gaze-independent audiovisual brain-computer Interface for detecting awareness of patients with disorders of consciousness
BACKGROUND: Currently, it is challenging to detect the awareness of patients who suffer disorders of consciousness (DOC). Brain-computer interfaces (BCIs), which do not depend on the behavioral response of patients, may serve for detecting the awareness in patients with DOC. However, we must develop...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176505/ https://www.ncbi.nlm.nih.gov/pubmed/30296948 http://dx.doi.org/10.1186/s12883-018-1144-y |
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author | Xie, Qiuyou Pan, Jiahui Chen, Yan He, Yanbin Ni, Xiaoxiao Zhang, Jiechun Wang, Fei Li, Yuanqing Yu, Ronghao |
author_facet | Xie, Qiuyou Pan, Jiahui Chen, Yan He, Yanbin Ni, Xiaoxiao Zhang, Jiechun Wang, Fei Li, Yuanqing Yu, Ronghao |
author_sort | Xie, Qiuyou |
collection | PubMed |
description | BACKGROUND: Currently, it is challenging to detect the awareness of patients who suffer disorders of consciousness (DOC). Brain-computer interfaces (BCIs), which do not depend on the behavioral response of patients, may serve for detecting the awareness in patients with DOC. However, we must develop effective BCIs for these patients because their ability to use BCIs does not as good as healthy users. METHODS: Because patients with DOC generally do not exhibit eye movements, a gaze-independent audiovisual BCI is put forward in the study where semantically congruent and incongruent audiovisual number stimuli were sequentially presented to evoke event-related potentials (ERPs). Subjects were required to pay attention to congruent audiovisual stimuli (target) and ignore the incongruent audiovisual stimuli (non-target). The BCI system was evaluated by analyzing online and offline data from 10 healthy subjects followed by being applied to online awareness detection in 8 patients with DOC. RESULTS: According to the results on healthy subjects, the audiovisual BCI system outperformed the corresponding auditory-only and visual-only systems. Multiple ERP components, including the P300, N400 and late positive complex (LPC), were observed using the audiovisual system, strengthening different brain responses to target stimuli and non-target stimuli. The results revealed the abilities of three of eight patients to follow commands and recognize numbers. CONCLUSIONS: This gaze-independent audiovisual BCI system represents a useful auxiliary bedside tool to detect the awareness of patients with DOC. |
format | Online Article Text |
id | pubmed-6176505 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61765052018-10-18 A gaze-independent audiovisual brain-computer Interface for detecting awareness of patients with disorders of consciousness Xie, Qiuyou Pan, Jiahui Chen, Yan He, Yanbin Ni, Xiaoxiao Zhang, Jiechun Wang, Fei Li, Yuanqing Yu, Ronghao BMC Neurol Research Article BACKGROUND: Currently, it is challenging to detect the awareness of patients who suffer disorders of consciousness (DOC). Brain-computer interfaces (BCIs), which do not depend on the behavioral response of patients, may serve for detecting the awareness in patients with DOC. However, we must develop effective BCIs for these patients because their ability to use BCIs does not as good as healthy users. METHODS: Because patients with DOC generally do not exhibit eye movements, a gaze-independent audiovisual BCI is put forward in the study where semantically congruent and incongruent audiovisual number stimuli were sequentially presented to evoke event-related potentials (ERPs). Subjects were required to pay attention to congruent audiovisual stimuli (target) and ignore the incongruent audiovisual stimuli (non-target). The BCI system was evaluated by analyzing online and offline data from 10 healthy subjects followed by being applied to online awareness detection in 8 patients with DOC. RESULTS: According to the results on healthy subjects, the audiovisual BCI system outperformed the corresponding auditory-only and visual-only systems. Multiple ERP components, including the P300, N400 and late positive complex (LPC), were observed using the audiovisual system, strengthening different brain responses to target stimuli and non-target stimuli. The results revealed the abilities of three of eight patients to follow commands and recognize numbers. CONCLUSIONS: This gaze-independent audiovisual BCI system represents a useful auxiliary bedside tool to detect the awareness of patients with DOC. BioMed Central 2018-10-09 /pmc/articles/PMC6176505/ /pubmed/30296948 http://dx.doi.org/10.1186/s12883-018-1144-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Xie, Qiuyou Pan, Jiahui Chen, Yan He, Yanbin Ni, Xiaoxiao Zhang, Jiechun Wang, Fei Li, Yuanqing Yu, Ronghao A gaze-independent audiovisual brain-computer Interface for detecting awareness of patients with disorders of consciousness |
title | A gaze-independent audiovisual brain-computer Interface for detecting awareness of patients with disorders of consciousness |
title_full | A gaze-independent audiovisual brain-computer Interface for detecting awareness of patients with disorders of consciousness |
title_fullStr | A gaze-independent audiovisual brain-computer Interface for detecting awareness of patients with disorders of consciousness |
title_full_unstemmed | A gaze-independent audiovisual brain-computer Interface for detecting awareness of patients with disorders of consciousness |
title_short | A gaze-independent audiovisual brain-computer Interface for detecting awareness of patients with disorders of consciousness |
title_sort | gaze-independent audiovisual brain-computer interface for detecting awareness of patients with disorders of consciousness |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176505/ https://www.ncbi.nlm.nih.gov/pubmed/30296948 http://dx.doi.org/10.1186/s12883-018-1144-y |
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