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Restoration of grasp following paralysis through brain-controlled stimulation of muscles.通过脑控肌肉刺激恢复瘫痪后的抓握能力。
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Activity of the same motor cortex neurons during repeated experience with perturbed movement dynamics.同一运动皮层神经元在重复体验受扰运动动力学过程中的活动。
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Motor cortical prediction of EMG: evidence that a kinetic brain-machine interface may be robust across altered movement dynamics.运动皮层对肌电信号的预测:有证据表明,动力学脑机接口可能在运动动力学改变的情况下具有鲁棒性。
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Contributions of the motor cortex to adaptive control of reaching depend on the perturbation schedule.运动皮层对到达自适应控制的贡献取决于扰动方案。
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Rewiring neural interactions by micro-stimulation.微刺激重塑神经相互作用。
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Neuronal correlates of memory formation in motor cortex after adaptation to force field.运动皮层适应力场后记忆形成的神经元相关性。
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Kinetic trajectory decoding using motor cortical ensembles.使用运动皮层集合进行动力学轨迹解码。
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力场适应过程中初级运动皮层的放电反映了类似肌肉的动力学。

Primary motor cortical discharge during force field adaptation reflects muscle-like dynamics.

机构信息

Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.

出版信息

J Neurophysiol. 2013 Aug;110(3):768-83. doi: 10.1152/jn.00109.2012. Epub 2013 May 8.

DOI:10.1152/jn.00109.2012
PMID:23657285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3742991/
Abstract

We often make reaching movements having similar trajectories within very different mechanical environments, for example, with and without an added load in the hand. Under these varying conditions, our kinematic intentions must be transformed into muscle commands that move the limbs. Primary motor cortex (M1) has been implicated in the neural mechanism that mediates this adaptation to new movement dynamics, but our recent experiments suggest otherwise. We have recorded from electrode arrays that were chronically implanted in M1 as monkeys made reaching movements under two different dynamic conditions: the movements were opposed by either a clockwise or counterclockwise velocity-dependent force field acting at the hand. Under these conditions, the preferred direction (PD) of neural discharge for nearly all neurons rotated in the direction of the applied field, as did those of proximal limb electromyograms (EMGs), although the median neural rotation was significantly smaller than that of muscles. For a given neuron, the rotation angle was very consistent, even across multiple sessions. Within the limits of measurement uncertainty, both the neural and EMG changes occurred nearly instantaneously, reaching a steady state despite ongoing behavioral adaptation. Our results suggest that M1 is not directly involved in the adaptive changes that occurred within an experimental session. Rather, most M1 neurons are directly related to the dynamics of muscle activation that themselves reflect the external load. It appears as though gain modulation, the differential recruitment of M1 neurons by higher motor areas, can account for the load and behavioral adaptation-related changes in M1 discharge.

摘要

我们经常在非常不同的力学环境中进行具有相似轨迹的伸手运动,例如在手中有无附加负载的情况下。在这些不同的条件下,我们的运动意图必须转化为肌肉指令,以移动肢体。初级运动皮层(M1)被认为参与了介导这种对新运动动力学适应的神经机制,但我们最近的实验表明并非如此。当猴子在手的位置受到顺时针或逆时针速度相关力场的影响时,我们从长期植入 M1 的电极阵列中记录到了电活动,在两种不同的动力学条件下猴子进行伸手运动。在这些条件下,几乎所有神经元的放电的首选方向(PD)都朝着施加的力场方向旋转,而近端肢体肌电图(EMG)也是如此,尽管神经元的平均旋转明显小于肌肉的旋转。对于给定的神经元,旋转角度非常一致,即使在多个会话中也是如此。在测量不确定度的限制内,神经和 EMG 的变化几乎是同时发生的,尽管正在进行行为适应,但仍达到稳定状态。我们的结果表明,M1 并未直接参与实验期间发生的适应性变化。相反,大多数 M1 神经元与肌肉激活的动力学直接相关,而肌肉激活本身反映了外部负载。似乎增益调制,即较高运动区域对 M1 神经元的差异招募,可以解释 M1 放电与负载和行为适应相关的变化。