Pan Jiahui, Zhang Zhihang, Zhang Yuanlin, Wang Fei, Xiao Jun
School of Artificial Intelligence, South China Normal University, Guangzhou 510631, P. R. China.
Brain Computer Intelligence Research Center, Pazhou Lab, Guangzhou 510320, P. R. China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2025 Jun 25;42(3):438-446. doi: 10.7507/1001-5515.202410061.
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.
随着神经成像技术的不断进步,临床研究发现了意识障碍(DoC)患者存在认知-运动分离现象。这一开创性发现为脑机接口(BCI)在临床中的开发和应用提供了新的动力。目前,BCI作为评估和辅助行为无反应个体的重要工具,已在DoC患者中广泛应用。本文综述了BCI在DoC患者中的当前应用,重点关注意识检测、辅助诊断、预后评估和康复治疗四个主要方面。还对各方面的代表性关键技术和实验结果进行了深入分析,包括BCI范式设计、脑信号解码方法和反馈机制。此外,本文针对DoC患者的BCI设计提出了建议,并讨论了该领域未来的研究和临床实践方向。