Ang Kai Keng, Guan Cuntai, Chua Karen Sui Geok, Ang Beng Ti, Kuah Christopher, Wang Chuanchu, Phua Kok Soon, Chin Zheng Yang, Zhang Haihong
Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR), 21 Heng Mui Keng Terrace, Singapore 119613.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:5549-52. doi: 10.1109/IEMBS.2010.5626782.
This clinical study investigates the ability of hemiparetic stroke patients in operating EEG-based motor imagery brain-computer interface (MI-BCI). It also assesses the efficacy in motor improvements on the stroke-affected upper limb using EEG-based MI-BCI with robotic feedback neurorehabilitation compared to robotic rehabilitation that delivers movement therapy. 54 hemiparetic stroke patients with mean age of 51.8 and baseline Fugl-Meyer Assessment (FMA) 14.9 (out of 66, higher = better) were recruited. Results showed that 48 subjects (89%) operated EEG-based MI-BCI better than at chance level, and their ability to operate EEG-based MI-BCI is not correlated to their baseline FMA (r=0.358). Those subjects who gave consent are randomly assigned to each group (N=11 and 14) for 12 1-hour rehabilitation sessions for 4 weeks. Significant gains in FMA scores were observed in both groups at post-rehabilitation (4.5, 6.2; p=0.032, 0.003) and 2-month post-rehabilitation (5.3, 7.3; p=0.020, 0.013), but no significant differences were observed between groups (p=0.512, 0.550). Hence, this study showed evidences that a majority of hemiparetic stroke patients can operate EEG-based MI-BCI, and that EEG-based MI-BCI with robotic feedback neurorehabilitation is effective in restoring upper extremities motor function in stroke.
这项临床研究调查了偏瘫中风患者操作基于脑电图的运动想象脑机接口（MI-BCI）的能力。该研究还评估了与提供运动疗法的机器人康复相比，基于脑电图的MI-BCI结合机器人反馈神经康复对中风影响的上肢运动改善的疗效。招募了54名平均年龄为51.8岁、基线Fugl-Meyer评估（FMA）为14.9（满分66分，分数越高越好）的偏瘫中风患者。结果显示，48名受试者（89%）操作基于脑电图的MI-BCI的表现优于随机水平，且他们操作基于脑电图的MI-BCI的能力与基线FMA无关（r=0.358）。那些同意参与的受试者被随机分配到每组（N=11和14），进行为期4周、每周12次、每次1小时的康复训练。康复后（4.5, 6.2；p=0.032, 0.003）和康复后2个月（5.3, 7.3；p=0.020, 0.013），两组的FMA评分均有显著提高，但两组之间未观察到显著差异（p=0.512, 0.550）。因此，本研究表明，大多数偏瘫中风患者能够操作基于脑电图的MI-BCI，且基于脑电图的MI-BCI结合机器人反馈神经康复对恢复中风患者的上肢运动功能是有效的。
