Trujillo Paula, Mastropietro Alfonso, Scano Alessandro, Chiavenna Andrea, Mrakic-Sposta Simona, Caimmi Marco, Molteni Franco, Rizzo Giovanna
IEEE Trans Neural Syst Rehabil Eng. 2017 Jul;25(7):1058-1067. doi: 10.1109/TNSRE.2017.2678161. Epub 2017 Mar 3.
Stroke is a leading cause for adult disability, which in many cases causes motor deficits. Despite the developments in motor rehabilitation techniques, recovery of upper limb functions after stroke is limited and heterogeneous in terms of outcomes, and knowledge of important factors that may affect the outcome of the therapy is necessary to make a reasonable prediction for individual patients. In this paper, we assessed the relationship between quantitative electroencephalographic (QEEG) measures and the motor outcome in chronic stroke patients that underwent a robot-assisted rehabilitation program to evaluate the utility of QEEG indices to predict motor recovery. For this purpose, we acquired resting-state electroencephalographic signals from which the power ratio index (PRI), delta/alpha ratio, and brain symmetry index were calculated. The outcome of the motor rehabilitation was evaluated using upper limb section of the Fugl-Meyer Assessment. We found that PRI was significantly correlated with the motor recovery, suggesting that this index may provide useful information to predict the rehabilitation outcome.
中风是成人残疾的主要原因，在许多情况下会导致运动功能障碍。尽管运动康复技术有所发展，但中风后上肢功能的恢复在结果方面是有限且不均一的，了解可能影响治疗结果的重要因素对于为个体患者做出合理预测是必要的。在本文中，我们评估了慢性中风患者在接受机器人辅助康复计划后定量脑电图（QEEG）测量与运动结果之间的关系，以评估QEEG指标预测运动恢复的效用。为此，我们采集了静息状态脑电图信号，并计算了功率比指数（PRI）、δ/α比值和脑对称指数。使用Fugl-Meyer评估的上肢部分评估运动康复的结果。我们发现PRI与运动恢复显著相关，这表明该指数可能为预测康复结果提供有用信息。
