Advances in the application of motor imagery based brain computer interface systems for brain function activation and neural network remodeling in patients with paralysis after stroke

VernacularTitle:基于运动想象的脑机接口技术运用于脑卒中瘫痪患者脑功能激活和神经网络重塑的研究进展
Author: Xia LIU ¹ ; Ping ZHANG ; Yunjie LI ; Chao PAN ; Zhouping TANG
Author Information

1. 华中科技大学同济医学院附属同济医院神经内科，武汉430030
Keywords: Stroke; Electroencephalography; Magnetic resonance imaging; Motor imagery; Brain computer interface
From: Chinese Journal of Neurology 2021;54(10):1089-1093
CountryChina
Language:Chinese
Abstract: Motor imagery (MI) and its related brain computer interface (BCI) technologies have been used for speech and movement disorders in patients with spinal cord injury, stroke, multiple sclerosis, etc. Current studies have shown that BCI can activate brain function in stroke patients with enhanced frequency, longer duration and more stable electroencephalogram signals. Imaging results showed a significant increase in functional connectivity between the two hemispheres and within the affected hemispheres. In this paper, MI-BCI for stroke patients with brain function activation and neural network remodeling were reviewed, the research progress on mechanisms of the technology was summarized, to provide reference for the application of the technology in clinical and future research.