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Prognosis for patients with cognitive motor dissociation identified by brain-computer interface
Cognitive motor dissociation describes a subset of patients with disorders of consciousness who show neuroimaging evidence of consciousness but no detectable command-following behaviours. Although essential for family counselling, decision-making, and the design of rehabilitation programmes, the pro...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174053/ https://www.ncbi.nlm.nih.gov/pubmed/32101603 http://dx.doi.org/10.1093/brain/awaa026 |
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author | Pan, Jiahui Xie, Qiuyou Qin, Pengmin Chen, Yan He, Yanbin Huang, Haiyun Wang, Fei Ni, Xiaoxiao Cichocki, Andrzej Yu, Ronghao Li, Yuanqing |
author_facet | Pan, Jiahui Xie, Qiuyou Qin, Pengmin Chen, Yan He, Yanbin Huang, Haiyun Wang, Fei Ni, Xiaoxiao Cichocki, Andrzej Yu, Ronghao Li, Yuanqing |
author_sort | Pan, Jiahui |
collection | PubMed |
description | Cognitive motor dissociation describes a subset of patients with disorders of consciousness who show neuroimaging evidence of consciousness but no detectable command-following behaviours. Although essential for family counselling, decision-making, and the design of rehabilitation programmes, the prognosis for patients with cognitive motor dissociation remains under-investigated. The current study included 78 patients with disorders of consciousness who showed no detectable command-following behaviours. These patients included 45 patients with unresponsive wakefulness syndrome and 33 patients in a minimally conscious state, as diagnosed using the Coma Recovery Scale-Revised. Each patient underwent an EEG-based brain-computer interface experiment, in which he or she was instructed to perform an item-selection task (i.e. select a photograph or a number from two candidates). Patients who achieved statistically significant brain-computer interface accuracies were identified as cognitive motor dissociation. Two evaluations using the Coma Recovery Scale-Revised, one before the experiment and the other 3 months later, were carried out to measure the patients’ behavioural improvements. Among the 78 patients with disorders of consciousness, our results showed that within the unresponsive wakefulness syndrome patient group, 15 of 18 patients with cognitive motor dissociation (83.33%) regained consciousness, while only five of the other 27 unresponsive wakefulness syndrome patients without significant brain-computer interface accuracies (18.52%) regained consciousness. Furthermore, within the minimally conscious state patient group, 14 of 16 patients with cognitive motor dissociation (87.5%) showed improvements in their Coma Recovery Scale-Revised scores, whereas only four of the other 17 minimally conscious state patients without significant brain-computer interface accuracies (23.53%) had improved Coma Recovery Scale-Revised scores. Our results suggest that patients with cognitive motor dissociation have a better outcome than other patients. Our findings extend current knowledge of the prognosis for patients with cognitive motor dissociation and have important implications for brain-computer interface-based clinical diagnosis and prognosis for patients with disorders of consciousness. |
format | Online Article Text |
id | pubmed-7174053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71740532020-04-27 Prognosis for patients with cognitive motor dissociation identified by brain-computer interface Pan, Jiahui Xie, Qiuyou Qin, Pengmin Chen, Yan He, Yanbin Huang, Haiyun Wang, Fei Ni, Xiaoxiao Cichocki, Andrzej Yu, Ronghao Li, Yuanqing Brain Original Articles Cognitive motor dissociation describes a subset of patients with disorders of consciousness who show neuroimaging evidence of consciousness but no detectable command-following behaviours. Although essential for family counselling, decision-making, and the design of rehabilitation programmes, the prognosis for patients with cognitive motor dissociation remains under-investigated. The current study included 78 patients with disorders of consciousness who showed no detectable command-following behaviours. These patients included 45 patients with unresponsive wakefulness syndrome and 33 patients in a minimally conscious state, as diagnosed using the Coma Recovery Scale-Revised. Each patient underwent an EEG-based brain-computer interface experiment, in which he or she was instructed to perform an item-selection task (i.e. select a photograph or a number from two candidates). Patients who achieved statistically significant brain-computer interface accuracies were identified as cognitive motor dissociation. Two evaluations using the Coma Recovery Scale-Revised, one before the experiment and the other 3 months later, were carried out to measure the patients’ behavioural improvements. Among the 78 patients with disorders of consciousness, our results showed that within the unresponsive wakefulness syndrome patient group, 15 of 18 patients with cognitive motor dissociation (83.33%) regained consciousness, while only five of the other 27 unresponsive wakefulness syndrome patients without significant brain-computer interface accuracies (18.52%) regained consciousness. Furthermore, within the minimally conscious state patient group, 14 of 16 patients with cognitive motor dissociation (87.5%) showed improvements in their Coma Recovery Scale-Revised scores, whereas only four of the other 17 minimally conscious state patients without significant brain-computer interface accuracies (23.53%) had improved Coma Recovery Scale-Revised scores. Our results suggest that patients with cognitive motor dissociation have a better outcome than other patients. Our findings extend current knowledge of the prognosis for patients with cognitive motor dissociation and have important implications for brain-computer interface-based clinical diagnosis and prognosis for patients with disorders of consciousness. Oxford University Press 2020-04 2020-02-26 /pmc/articles/PMC7174053/ /pubmed/32101603 http://dx.doi.org/10.1093/brain/awaa026 Text en © The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles Pan, Jiahui Xie, Qiuyou Qin, Pengmin Chen, Yan He, Yanbin Huang, Haiyun Wang, Fei Ni, Xiaoxiao Cichocki, Andrzej Yu, Ronghao Li, Yuanqing Prognosis for patients with cognitive motor dissociation identified by brain-computer interface |
title | Prognosis for patients with cognitive motor dissociation identified by brain-computer interface |
title_full | Prognosis for patients with cognitive motor dissociation identified by brain-computer interface |
title_fullStr | Prognosis for patients with cognitive motor dissociation identified by brain-computer interface |
title_full_unstemmed | Prognosis for patients with cognitive motor dissociation identified by brain-computer interface |
title_short | Prognosis for patients with cognitive motor dissociation identified by brain-computer interface |
title_sort | prognosis for patients with cognitive motor dissociation identified by brain-computer interface |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7174053/ https://www.ncbi.nlm.nih.gov/pubmed/32101603 http://dx.doi.org/10.1093/brain/awaa026 |
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