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代偿性近端调整是中风后有效伸手动作的特征。

Compensatory Proximal Adjustments Characterize Effective Reaching Movements After Stroke.

作者信息

Wolf Silke, Winter Leoni V, Elangovan Naveen, Braaß Hanna, Feldheim Jan, Graterol Pérez José A, Quandt Fanny, Schulz Robert, Konczak Jürgen, Gerloff Christian

机构信息

Experimental Electrophysiology and Neuroimaging, Department of Neurology, University Medical Center Hamburg-Eppendorf, Germany (S.W., H.B., J.F., J.A.G.P., F.Q., R.S., C.G.).

Human Sensorimotor Control Laboratory, School of Kinesiology, University of Minnesota, Minneapolis (L.V.W., N.E., J.K.).

出版信息

Stroke. 2025 Aug;56(8):2245-2254. doi: 10.1161/STROKEAHA.124.049336. Epub 2025 Jun 17.

Abstract

BACKGROUND

Understanding of sensorimotor reorganization following a stroke is still incomplete. This study examined how the neuromotor system of well-recovered patients with stroke achieves stable control of the redundant degrees of freedom in the upper limb through goal-directed reaching movements.

METHODS

Thirteen right-handed individuals with left-hemispheric stroke and 13 age-, sex- and handedness-matched healthy controls participated in this cross-sectional study. Each participant performed 80 unconstrained reach-to-grasp movements with either arm while kinematic data were recorded at 200 Hz using an optoelectronic motion capture system. Two types of outcome measures were examined, contrasting healthy individuals with those who have had strokes: end point and proximal kinematics. End point kinematics analyzed spatiotemporal hand movement characteristics, including movement time, time-to-peak velocity (TTPV), time-to-peak acceleration (TTPA), and velocity peaks for trajectory smoothness. Proximal kinematics focused on interjoint and intrajoint coordination of the elbow and shoulder, examining angular velocities and their timing differences. Stroke effects were analyzed using linear mixed-effects models.

RESULTS

No significant differences were observed in distal end point kinematics between groups (n=13 each) for movement time (control versus stroke, 0.92 versus 0.96 s; =0.944), TTPV (40% versus 42% of movement time, =0.358), TTPA (22% versus 21%; =0.583), or smoothness (1.02 versus 1.15; =0.057). However, stroke significantly affected proximal kinematics, altering interjoint coordination with differences in timing between elbow flexion and shoulder rotation (18% versus 14%; =0.019) and intrajoint coordination with differences in timing between shoulder flexion and abduction (18% versus 11%; =0.008) and between flexion and rotation (1% versus 10%; =0.001).

CONCLUSIONS

Arm motor control in this cohort of well-recovered patients with stroke showed near-complete restoration of distal end point kinematics but significant differences in the timing of proximal intrajoint and interjoint coordination. These findings suggest compensatory adjustments in shoulder and elbow movements to achieve functional goals like reaching. An enhanced understanding of these strategies can inform targeted interventions to improve upper limb capability poststroke.

摘要

背景

对中风后感觉运动重组的理解仍不完整。本研究探讨了恢复良好的中风患者的神经运动系统如何通过目标导向的伸手动作实现对上肢多余自由度的稳定控制。

方法

13名左半球中风的右利手个体和13名年龄、性别和利手匹配的健康对照者参与了这项横断面研究。每位参与者用任意一只手臂进行80次无约束的伸手抓握动作,同时使用光电运动捕捉系统以200Hz的频率记录运动学数据。研究了两种类型的结果测量指标,将健康个体与中风患者进行对比:终点和近端运动学。终点运动学分析了时空手部运动特征,包括运动时间、峰值速度时间(TTPV)、峰值加速度时间(TTPA)以及轨迹平滑度的速度峰值。近端运动学关注肘部和肩部的关节间和关节内协调,检查角速度及其时间差异。使用线性混合效应模型分析中风的影响。

结果

两组(每组n = 13)在远端终点运动学方面,运动时间(对照组与中风组,0.92对0.96秒;P = 0.944)、TTPV(运动时间的40%对42%,P = 0.358)、TTPA(22%对21%;P = 0.583)或平滑度(1.02对1.15;P = 0.057)均未观察到显著差异。然而,中风显著影响近端运动学,改变了关节间协调,肘部屈曲和肩部旋转之间的时间差异(18%对14%;P = 0.019),以及关节内协调,肩部屈曲和外展之间的时间差异(18%对11%;P = 0.008)以及屈曲和旋转之间的时间差异(1%对10%;P = 0.001)。

结论

在这组恢复良好的中风患者中,手臂运动控制显示远端终点运动学近乎完全恢复,但近端关节内和关节间协调的时间存在显著差异。这些发现表明肩部和肘部运动进行了代偿性调整以实现诸如伸手等功能目标。对这些策略的深入理解可为改善中风后上肢能力的针对性干预提供信息。

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