Mapping the Neural Control of Force and Impedance of Wrist Movements Using Robotics and fMRI.

Kristin Schmidt, Fabrizio Sergi
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Abstract

While robots are becoming increasingly valuable tools in neurorehabilitation, our limited understanding of the brain's response during human-robot interaction tasks restricts advancements in training programs to restore neural pathways after injury. Co-contraction is characteristic of several neuromuscular disorders, such as stroke and cerebral palsy, and it is often targeted by assessments or rehabilitation programs. Despite its importance, the neural mechanisms underlying cocontraction remain poorly understood. To address this gap, this study investigates the neural substrates of muscle co-contraction via functional magnetic resonance imaging (fMRI) during a dynamic motor task with an MR-compatible wrist robot. To establish suitable fMRI experimental conditions, we first conducted a behavioral study assessing muscle activity during a wrist-pointing task with four participants. Participants reached toward a target while experiencing four main perturbation conditions (no force, divergent force, constant force up, and constant force down), designed to elicit distinct force and impedance responses. Following this behavioral validation, five additional participants performed the wrist-pointing task during fMRI. Our results suggest localization of force and impedance control within the cortico-thalamic-cerebellar network. These findings provide new insights into the neural mechanisms of co-contraction, supporting the development of neurorehabilitation paradigms.

利用机器人技术和功能磁共振成像绘制腕部运动的力和阻抗的神经控制。
虽然机器人正在成为神经康复中越来越有价值的工具,但我们对人机交互任务中大脑反应的有限理解限制了在损伤后恢复神经通路的训练计划的进展。共收缩是一些神经肌肉疾病的特征,如中风和脑瘫,它通常是评估或康复计划的目标。尽管它的重要性,神经机制背后的收缩仍然知之甚少。为了解决这一问题,本研究通过功能磁共振成像(fMRI)研究了与磁共振兼容的手腕机器人在动态运动任务期间肌肉共同收缩的神经基质。为了建立合适的功能磁共振成像实验条件,我们首先进行了一项行为研究,评估了四名参与者在指指手腕任务期间的肌肉活动。参与者在经历四种主要的扰动条件(无力、发散力、恒定力向上和恒定力向下)的情况下达到目标,旨在引起不同的力和阻抗反应。在此行为验证之后,另外五名参与者在fMRI期间执行了指指手腕的任务。我们的结果表明,力和阻抗控制的定位在皮质-丘脑-小脑网络。这些发现为研究共收缩的神经机制提供了新的见解,支持了神经康复范式的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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