Visual Fixation Assessment in Patients with Disorders of Consciousness Based on Brain-Computer Interface.
10.1007/s12264-018-0257-z
- Author:
Jun XIAO
1
;
Jiahui PAN
1
;
Yanbin HE
2
;
Qiuyou XIE
2
;
Tianyou YU
1
;
Haiyun HUANG
1
;
Wei LV
2
;
Jiechun ZHANG
2
;
Ronghao YU
3
;
Yuanqing LI
4
Author Information
1. Center for Brain Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, 510640, China.
2. Coma Research Group, Centre for Hyperbaric Oxygen and Neurorehabilitation, General Hospital of Guangzhou Military Command, Guangzhou, 510010, China.
3. Coma Research Group, Centre for Hyperbaric Oxygen and Neurorehabilitation, General Hospital of Guangzhou Military Command, Guangzhou, 510010, China. gesund@21cn.com.
4. Center for Brain Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, 510640, China. auyqli@scut.edu.cn.
- Publication Type:Journal Article
- Keywords:
Brain-computer interface;
Coma recovery scale-revised;
Disorder of consciousness;
Electroencephalography;
Visual fixation
- MeSH:
Adolescent;
Adult;
Aged;
Brain;
physiopathology;
Brain-Computer Interfaces;
Consciousness Disorders;
diagnosis;
physiopathology;
Diagnosis, Computer-Assisted;
methods;
Electroencephalography;
methods;
Evoked Potentials;
Female;
Fixation, Ocular;
physiology;
Humans;
Male;
Middle Aged;
Neurologic Examination;
Pilot Projects;
Severity of Illness Index;
User-Computer Interface
- From:
Neuroscience Bulletin
2018;34(4):679-690
- CountryChina
- Language:English
-
Abstract:
Visual fixation is an item in the visual function subscale of the Coma Recovery Scale-Revised (CRS-R). Sometimes clinicians using the behavioral scales find it difficult to detect because of the motor impairment in patients with disorders of consciousness (DOCs). Brain-computer interface (BCI) can be used to improve clinical assessment because it directly detects the brain response to an external stimulus in the absence of behavioral expression. In this study, we designed a BCI system to assist the visual fixation assessment of DOC patients. The results from 15 patients indicated that three showed visual fixation in both CRS-R and BCI assessments and one did not show such behavior in the CRS-R assessment but achieved significant online accuracy in the BCI assessment. The results revealed that electroencephalography-based BCI can detect the brain response for visual fixation. Therefore, the proposed BCI may provide a promising method for assisting behavioral assessment using the CRS-R.
