Your browser doesn't support javascript.
loading
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.
Afiliação
  • Pan J; Center for Brain-Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China.
  • Xie Q; School of Software, South China Normal University, Guangzhou, China.
  • Qin P; Department of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
  • Chen Y; Centre for Hyperbaric Oxygen and Neurorehabilitation, Guangzhou General Hospital of Guangzhou Military Command, Guangzhou, China.
  • He Y; Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, School of Psychology, South China Normal University, Guangzhou, China.
  • Huang H; Centre for Hyperbaric Oxygen and Neurorehabilitation, Guangzhou General Hospital of Guangzhou Military Command, Guangzhou, China.
  • Wang F; Centre for Hyperbaric Oxygen and Neurorehabilitation, Guangzhou General Hospital of Guangzhou Military Command, Guangzhou, China.
  • Ni X; Department of Traumatic Brain Injury Rehabilitation and Severe Rehabilitation, Guangdong Work Injury Rehabilitation Hospital, Guangzhou, China.
  • Cichocki A; Center for Brain-Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China.
  • Yu R; Center for Brain-Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China.
  • Li Y; School of Software, South China Normal University, Guangzhou, China.
Brain ; 143(4): 1177-1189, 2020 04 01.
Article em En | MEDLINE | ID: mdl-32101603
ABSTRACT
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos da Consciência / Eletroencefalografia / Interfaces Cérebro-Computador Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtornos da Consciência / Eletroencefalografia / Interfaces Cérebro-Computador Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article