Literature DB >> 33735851

Hybrid asynchronous brain-computer interface for yes/no communication in patients with disorders of consciousness.

Jianyong Huang1, Lina Qiu1, Qianmin Lin2, Jun Xiao3, Yuanqiu Huang2, Haiyun Huang3, Xinjie Zhou2, Xiangyu Shi3, Fei Wang1,3, Yanbin He2, Jiahui Pan1,3.   

Abstract

Objective.For patients with disorders of consciousness (DOC), such as vegetative state (VS) and minimally conscious state (MCS), communication is challenging. Currently, the communication methods of DOC patients are limited to behavioral responses. However, patients with DOC cannot provide sufficient behavioral responses due to motor impairments and limited attention. In this study, we proposed a hybrid asynchronous brain-computer interface (BCI) system that provides a new communication channel for patients with DOC.Approach.Seven patients with DOC (3 VS and 4 MCS) and eleven healthy subjects participated in our experiment. Each subject was instructed to focus on the square with the Chinese words 'Yes' and 'No'. Then, the BCI system determined the target square with both P300 and steady-state visual evoked potential (SSVEP) detections. For the healthy group, we tested the performance of the hybrid system and the single-modality BCI system.Main results.All healthy subjects achieved significant accuracy (ranging from 72% to 100%) in both the hybrid system and the single modality system. The hybrid asynchronous BCI system outperformed the P300-only and SSVEP-only systems. Furthermore, we employed the asynchronous approach to dynamically collect the electroencephalography signal. Compared with the synchronous system, there was a 21% reduction in the average required rounds and a reduction of 105 s in the online experiment time. This asynchronous system was applied to detect the 'yes/no' communication function of seven patients with DOC, and the results showed that three of the patients (3 MCS) not only showed significant accuracies (67 ± 3%) in the online experiment, and their Coma Recovery Scale-Revised scores were also improved compared with the scores before the experiment. This result demonstrated that 3 of 7 patients were able to communicate using our hybrid asynchronous BCI system.Significance.This hybrid asynchronous BCI system can be used as a useful auxiliary bedside tool for simple communication with DOC patients. Creative Commons Attribution license.

Entities:  

Keywords:  P300; asynchronous detection; brain–computer interface; communication; disorder of consciousness; hybrid system; steady-state visual evoked potential (SSVEP)

Mesh:

Year:  2021        PMID: 33735851     DOI: 10.1088/1741-2552/abf00c

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  2 in total

Review 1.  Brain-Computer Interfaces for Awareness Detection, Auxiliary Diagnosis, Prognosis, and Rehabilitation in Patients with Disorders of Consciousness.

Authors:  Jiahui Pan; Jun Xiao; Jing Wang; Fei Wang; Jingcong Li; Lina Qiu; Haibo Di; Yuanqing Li
Journal:  Semin Neurol       Date:  2022-07-14       Impact factor: 3.212

2.  Pain assessment during physiotherapy and noxious stimuli in patients with disorders of consciousness: A preliminary study.

Authors:  Jianzhong Shen; Shanchun Tang; Bingyang Yan; Donghua Xie; Tingting Fang; Lidan Chen; Guoyun Li
Journal:  Front Integr Neurosci       Date:  2022-09-08
  2 in total

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