Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou 510275, People's Republic of China.
Shenzhen Research Institute of Sun Yat-sen University, Shenzhen 518057, People's Republic of China.
J Neural Eng. 2021 Aug 25;18(4). doi: 10.1088/1741-2552/ac18ae.
. Human movement is a complex process requiring information transmission in inter-cortical, cortico-muscular and inter-muscular networks. Though motor deficits after stroke are associated with impaired networks in the cortico-motor system, the mechanisms underlying these networks are to date not fully understood. The purpose of this study is to investigate the changes in information transmission of the inter-cortical, cortico-muscular and inter-muscular networks after stroke and the effect of myoelectric-controlled interface (MCI) dimensionality on such information transmission in each network.. Fifteen healthy control subjects and 11 post-stroke patients were recruited to perform elbow tracking tasks within different dimensional MCIs in this study. Their electromyography (EMG) and functional near-infrared spectroscopy (fNIRS) signals were recorded simultaneously. Transfer entropy was used to analyse the functional connection that represented the information transmission in each network based on the fNIRS and EMG signals.The results found that post-stroke patients showed the increased inter-cortical connection versus healthy control subjects, which might be attributed to cortical reorganisation to compensate for motor deficits. Compared to healthy control subjects, a lower strength cortico-muscular connection was found in post-stroke patients due to the reduction of information transmission following a stroke. Moreover, the increased MCI dimensionality strengthened inter-cortical, cortico-muscular and inter-muscular connections because of higher visual information processing demands.. These findings not only provide a comprehensive overview to evaluate changes in the cortico-motor system due to stroke, but also suggest that increased MCI dimensionality may serve as a useful rehabilitation tool for boosting information transmission in the cortico-motor system of post-stroke patients.
. 人类运动是一个复杂的过程，需要在皮质内、皮质肌肉和肌肉间网络中进行信息传递。尽管中风后的运动缺陷与皮质运动系统中的受损网络有关，但这些网络的潜在机制迄今尚未完全了解。本研究旨在探讨中风后皮质内、皮质肌肉和肌肉间网络的信息传递变化，以及肌电控制接口 (MCI) 的维度对每个网络中这种信息传递的影响。. 在这项研究中，招募了 15 名健康对照者和 11 名中风后患者，要求他们在不同维度的 MCI 内执行肘部跟踪任务。同时记录他们的肌电图 (EMG) 和功能近红外光谱 (fNIRS) 信号。基于 fNIRS 和 EMG 信号，使用转移熵分析代表每个网络中信息传递的功能连接。. 结果发现，中风后患者的皮质间连接与健康对照组相比有所增加，这可能归因于皮质重新组织以代偿运动缺陷。与健康对照组相比，中风后患者的皮质肌肉连接强度较低，这是由于中风后信息传递减少所致。此外，增加 MCI 维度由于需要更高的视觉信息处理能力，从而增强了皮质间、皮质肌肉和肌肉间的连接。. 这些发现不仅提供了全面的概述，以评估中风引起的皮质运动系统变化，还表明增加 MCI 维度可能是一种有用的康复工具，可增强中风后患者皮质运动系统中的信息传递。
