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Compensatory Motor Control After Stroke: An Alternative Joint Strategy for Object-Dependent Shaping of Hand Posture

机译:脑卒中后的补偿性电机控制:一种替代的联合策略,用于基于姿势的手部塑造

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摘要

Efficient grasping requires planned and accurate coordination of finger movements to approximate the shape of an object before contact. In healthy subjects, hand shaping is known to occur early in reach under predominantly feedforward control. In patients with hemiparesis after stroke, execution of coordinated digit motion during grasping is impaired as a result of damage to the corticospinal tract. The question addressed here is whether patients with hemiparesis are able to compensate for their execution deficit with a qualitatively different grasp strategy that still allows them to differentiate hand posture to object shape. Subjects grasped a rectangular, concave, and convex object while wearing an instrumented glove. Reach-to-grasp was divided into three phases based on wrist kinematics: reach acceleration (reach onset to peak horizontal wrist velocity), reach deceleration (peak horizontal wrist velocity to reach offset), and grasp (reach offset to lift-off). Patients showed reduced finger abduction, proximal interphalangeal joint (PIP) flexion, and metacarpophalangeal joint (MCP) extension at object grasp across all three shapes compared with controls; however, they were able to partially differentiate hand posture for the convex and concave shapes using a compensatory strategy that involved increased MCP flexion rather than the PIP flexion seen in controls. Interestingly, shape-specific hand postures did not unfold initially during reach acceleration as seen in controls, but instead evolved later during reach deceleration, which suggests increased reliance on sensory feedback. These results indicate that kinematic analysis can identify and quantify within-limb compensatory motor control strategies after stroke. From a clinical perspective, quantitative study of compensation is important to better understand the process of recovery from brain injury. From a motor control perspective, compensation can be considered a model for how joint redundancy is exploited to accomplish the task goal through redistribution of work across effectors.
机译:有效的抓握要求手指运动的计划和准确协调,以在接触之前近似物体的形状。在健康受试者中,已知手部塑形主要在前馈控制下发生在触及早期。在中风后偏瘫患者中,由于对皮质脊髓束的损害,在抓握过程中执行的手指运动不协调。此处解决的问题是,偏瘫患者是否能够通过质的不同抓握策略来弥补其执行缺陷,从而仍然能够区分手势与物体形状。受试者戴着仪器手套时抓住了一个矩形,凹凸的物体。根据腕部运动学,可达到的抓握分为三个阶段:达到加速度(达到起始水平腕部水平峰值速度),达到减速度(达到峰值水平腕部速度之前的水平偏移)和抓地力(达到水平偏移之前的水平偏移)。与对照组相比,患者在三种形状的物体抓握时均表现出手指外展,近端指间关节(PIP)屈曲和掌指关节(MCP)伸展减少。但是,他们能够使用补偿策略来部分地区分凹凸形状的手势,该策略涉及增加MCP屈曲而不是对照组中的PIP屈曲。有趣的是,形状特定的手势最初并没有像在控件中看到的那样在伸手加速过程中展开,而是在伸手减速过程中逐渐展开,这表明对感觉反馈的依赖增加了。这些结果表明,运动分析可以识别和量化卒中后肢内代偿性运动控制策略。从临床角度来看,对补偿进行定量研究对于更好地了解脑损伤的恢复过程很重要。从电动机控制的角度来看,补偿可以被视为一个模型,该模型说明了如何通过联合冗余来通过在各个效应器之间重新分配工作来实现任务目标。

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