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Inconvenient Truths about neural processing in primary motor cortex

机译:关于初级运动皮层神经处理的不便之处

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摘要

Primary motor cortex (MI) plays an important role in voluntary motor behaviour, yet considerable debate remains on how neural processing within this brain region contributes to motor function. This article provides a brief review of the dominant conceptual frameworks used to interpret MI activity, notably servo-control during the 1970s and early 1980s, and sensorimotor transformations since that time. The former emphasized the use of feedback, but was abandoned because delays in sensory feedback could not permit sufficient feedback gains to generate observed patterns of limb movement. The latter framework focuses attention on identifying what coordinate frames, or representations, best describe neural processing in MI. However, studies have shown that MI activity correlates with a broad range of parameters of motor performance from spatial target location, hand or joint motion, joint torque and muscle activation patterns. Further, these representations can change across behaviours, such as from posture to movement. What do heterogeneous, labile neural representations mean and how do they help us understand how MI is involved in volitional motor control? Perhaps what is required is a new conceptual framework that re-focuses the experimental problem back on processes of control. Specifically, optimal feedback control has been proposed as a theory of the volitional motor system and it is argued here that it provides a rich, new perspective for addressing the role of MI and other brain regions in volitional motor control.
机译:初级运动皮层(MI)在自愿运动行为中起着重要作用,但是关于该大脑区域内的神经加工如何促进运动功能的争论仍然很多。本文简要回顾了用于解释MI活动的主要概念框架,尤其是1970年代和1980年代初的伺服控制以及此后的感觉运动转换。前者强调使用反馈,但由于感觉反馈的延迟而无法获得足够的反馈增益以产生观察到的肢体运动模式,因此被放弃。后一个框架着重于确定哪些坐标框架或表示最能描述MI中的神经处理。但是,研究表明,MI活动与空间目标位置,手或关节运动,关节扭矩和肌肉激活模式等广泛的运动性能参数相关。此外,这些表示可以随行为而变化,例如从姿势到动作。异构的,不稳定的神经表示是什么意思,它们如何帮助我们理解MI在自主运动控制中的作用?也许需要的是一个新的概念框架,它将实验问题重新集中在控制过程上。具体地,已经提出了最佳反馈控制作为自愿运动系统的理论,并且在此认为,它为解决MI和其他大脑区域在自愿运动控制中的作用提供了丰富的新视角。

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