Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial.
Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial.
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使用基于运动意象的脑机接口 (BCI) 控制的手部外骨骼进行中风后康复训练：一项随机控制多中心试验。
DOI：
10.3389/fnins.2017.00400
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发表时间：
2017
影响因子：
4.3
通讯作者：
Bushkova Y
中科院分区：
文献类型：
--
作者：
Frolov AA;Mokienko O;Lyukmanov R;Biryukova E;Kotov S;Turbina L;Nadareyshvily G;Bushkova Y
脑机接口（BCI）的重复使用提供偶然的感觉反馈的大脑活动最近提出作为一种康复方法，以恢复运动功能中风或脊髓损伤后。然而，只有少数临床研究调查这种方法的可行性和有效性。在这里，我们报告了一项安慰剂对照的多中心临床试验，该试验调查了严重上肢（UL）瘫痪的卒中幸存者是否受益于10次BCI训练，每次持续40分钟。共有74例患者参与：卒中后中位时间为8个月，25和75%四分位数[3.0; 13.0]; UL瘫痪的严重程度中位数为4.5分[0.0; 30.0]，由行动研究手臂测试（ARAT）测量，19.5分[11.0; 40.0]，由Fugl-Meyer运动评估（FMMA）测量。脑机接口组（n = 55）的患者进行了运动想象，打开他们的受影响的手。运动想象相关的脑电活动被翻译成偶然的手exocondon驱动的受影响的手的开放运动。在对照组中（n = 19），手exodion-driven开放运动的影响手是独立的脑脑电图活动。UL临床评估的评价表明，两组均有所改善，但只有BCI组显示ARAT抓握评分从0 [0.0; 14.0]改善至3.0 [0.0; 15.0]分（p < 0.01），捏夹评分从0.0 [0.0; 7.0]改善至1.0 [0.0; 12.0]分（p < 0.01）。训练完成后，BCI组中分别有21.8%和36.4%的患者的ARAT和FMMA评分改善。对照组的相应数字为5.1%（ARAT）和15.8%（FMMA）。这些结果表明，将BCI控制添加到exosilon辅助物理治疗中可以改善卒中后康复结果。成功解码图像相关EEG活动百分比的最大值和平均值均高于机会水平。分类的准确性和上肢功能的改善之间的相关性被发现。运动功能的改善被发现的患者与不同的持续时间，严重程度和位置的中风。
Repeated use of brain-computer interfaces (BCIs) providing contingent sensory feedback of brain activity was recently proposed as a rehabilitation approach to restore motor function after stroke or spinal cord lesions. However, there are only a few clinical studies that investigate feasibility and effectiveness of such an approach. Here we report on a placebo-controlled, multicenter clinical trial that investigated whether stroke survivors with severe upper limb (UL) paralysis benefit from 10 BCI training sessions each lasting up to 40 min. A total of 74 patients participated: median time since stroke is 8 months, 25 and 75% quartiles [3.0; 13.0]; median severity of UL paralysis is 4.5 points [0.0; 30.0] as measured by the Action Research Arm Test, ARAT, and 19.5 points [11.0; 40.0] as measured by the Fugl-Meyer Motor Assessment, FMMA. Patients in the BCI group (n = 55) performed motor imagery of opening their affected hand. Motor imagery-related brain electroencephalographic activity was translated into contingent hand exoskeleton-driven opening movements of the affected hand. In a control group (n = 19), hand exoskeleton-driven opening movements of the affected hand were independent of brain electroencephalographic activity. Evaluation of the UL clinical assessments indicated that both groups improved, but only the BCI group showed an improvement in the ARAT's grasp score from 0 [0.0; 14.0] to 3.0 [0.0; 15.0] points (p < 0.01) and pinch scores from 0.0 [0.0; 7.0] to 1.0 [0.0; 12.0] points (p < 0.01). Upon training completion, 21.8% and 36.4% of the patients in the BCI group improved their ARAT and FMMA scores respectively. The corresponding numbers for the control group were 5.1% (ARAT) and 15.8% (FMMA). These results suggests that adding BCI control to exoskeleton-assisted physical therapy can improve post-stroke rehabilitation outcomes. Both maximum and mean values of the percentage of successfully decoded imagery-related EEG activity, were higher than chance level. A correlation between the classification accuracy and the improvement in the upper extremity function was found. An improvement of motor function was found for patients with different duration, severity and location of the stroke.
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DOI：
10.3389/fneng.2014.00030
发表时间：
2014
期刊：
Frontiers in neuroengineering
影响因子：
--
作者：
Ang KK;Guan C;Phua KS;Wang C;Zhou L;Tang KY;Ephraim Joseph GJ;Kuah CW;Chua KS
通讯作者：
Chua KS
影响因子：
2
作者：
Ang, Kai Keng;Chua, Karen Sui Geok;Guan, Cuntai
通讯作者：
Guan, Cuntai
影响因子：
--
作者：
Frolov, A. A.;Husek, D.;Konovalov, R. N.
通讯作者：
Konovalov, R. N.
影响因子：
4
作者：
Grosse-Wentrup M;Mattia D;Oweiss K
通讯作者：
Oweiss K
影响因子：
0.8
作者：
Frolov, Alexander;Husek, Dusan;Mokienko, Olesya
通讯作者：
Mokienko, Olesya