Brain-computer interface technology and its applications for patients with disorders of consciousness.
10.7507/1001-5515.202410061
- Author:
Jiahui PAN
1
;
Zhihang ZHANG
1
;
Yuanlin ZHANG
1
;
Fei WANG
1
;
Jun XIAO
2
Author Information
1. School of Artificial Intelligence, South China Normal University, Guangzhou 510631, P. R. China.
2. Brain Computer Intelligence Research Center, Pazhou Lab, Guangzhou 510320, P. R. China.
- Publication Type:English Abstract
- Keywords:
Disorders of consciousness;
Electroencephalogram-based brain-computer interface;
Minimally conscious state;
Unresponsive wakefulness syndrome
- MeSH:
Humans;
Brain-Computer Interfaces;
Consciousness Disorders/physiopathology*;
Electroencephalography;
Brain/physiopathology*;
Consciousness
- From:
Journal of Biomedical Engineering
2025;42(3):438-446
- CountryChina
- Language:Chinese
-
Abstract:
With the continuous advancement of neuroimaging technologies, clinical research has discovered the phenomenon of cognitive-motor dissociation in patients with disorders of consciousness (DoC). This groundbreaking finding has provided new impetus for the development and application of brain-computer interface (BCI) in clinic. Currently, BCI has been widely applied in DoC patients as an important tool for assessing and assisting behaviorally unresponsive individuals. This paper reviews the current applications of BCI in DoC patients, focusing four main aspects including consciousness detection, auxiliary diagnosis, prognosis assessment, and rehabilitation treatment. It also provides an in-depth analysis of representative key techniques and experimental outcomes in each aspect, which include BCI paradigm designs, brain signal decoding method, and feedback mechanisms. Furthermore, the paper offers recommendations for BCI design tailored to DoC patients and discusses future directions for research and clinical practice in this field.
