Li Xin, Wang Lu, Miao Si, Yue Zan, Tang Zhiming, Su Liujie, Zheng Yadan, Wu Xiangzhen, Wang Shan, Wang Jing, Dou Zulin
Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Institute of Robotics and Intelligent Systems, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.
Front Neurosci. 2022 Mar 11;16:808830. doi: 10.3389/fnins.2022.808830. eCollection 2022.
Several studies have shown the positive clinical effect of brain computer interface (BCI) training for stroke rehabilitation. This study investigated the efficacy of the sensorimotor rhythm (SMR)-based BCI with audio-cue, motor observation and multisensory feedback for post-stroke rehabilitation. Furthermore, we discussed the interaction between training intensity and training duration in BCI training. Twenty-four stroke patients with severe upper limb (UL) motor deficits were randomly assigned to two groups: 2-week SMR-BCI training combined with conventional treatment (BCI Group, BG, = 12) and 2-week conventional treatment without SMR-BCI intervention (Control Group, CG, = 12). Motor function was measured using clinical measurement scales, including Fugl-Meyer Assessment-Upper Extremities (FMA-UE; primary outcome measure), Wolf Motor Functional Test (WMFT), and Modified Barthel Index (MBI), at baseline (Week 0), post-intervention (Week 2), and follow-up week (Week 4). EEG data from patients allocated to the BG was recorded at Week 0 and Week 2 and quantified by mu suppression means event-related desynchronization (ERD) in mu rhythm (8-12 Hz). All functional assessment scores (FMA-UE, WMFT, and MBI) significantly improved at Week 2 for both groups ( < 0.05). The BG had significantly higher FMA-UE and WMFT improvement at Week 4 compared to the CG. The mu suppression of bilateral hemisphere both had a positive trend with the motor function scores at Week 2. This study proposes a new effective SMR-BCI system and demonstrates that the SMR-BCI training with audio-cue, motor observation and multisensory feedback, together with conventional therapy may promote long-lasting UL motor improvement. [http://www.chictr.org.cn], identifier [ChiCTR2000041119].
多项研究表明,脑机接口(BCI)训练对中风康复具有积极的临床效果。本研究调查了基于感觉运动节律(SMR)的BCI结合音频提示、运动观察和多感官反馈用于中风后康复的疗效。此外,我们还讨论了BCI训练中训练强度与训练持续时间之间的相互作用。将24例患有严重上肢(UL)运动功能障碍的中风患者随机分为两组:为期2周的SMR-BCI训练联合传统治疗(BCI组,BG,n = 12)和为期2周的无SMR-BCI干预的传统治疗(对照组,CG,n = 12)。在基线(第0周)、干预后(第2周)和随访周(第4周),使用临床测量量表测量运动功能,包括Fugl-Meyer上肢评估量表(FMA-UE;主要结局指标)、Wolf运动功能测试(WMFT)和改良Barthel指数(MBI)。分配到BG组的患者在第0周和第2周记录脑电图数据,并通过μ节律(8-12Hz)中的μ抑制手段即事件相关去同步化(ERD)进行量化。两组在第2周时所有功能评估分数(FMA-UE、WMFT和MBI)均显著改善(P < 0.05)。与CG组相比,BG组在第4周时FMA-UE和WMFT的改善更为显著。双侧半球的μ抑制在第2周时与运动功能评分均呈正相关趋势。本研究提出了一种新的有效的SMR-BCI系统,并证明了结合音频提示、运动观察和多感官反馈的SMR-BCI训练与传统疗法一起可促进上肢运动功能的长期改善。[http://www.chictr.org.cn],标识符[ChiCTR2000041119]