模拟自然本体感觉的传入神经接口的开发

L. Miller
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摘要

脑机接口(bmi)利用大脑运动区域的记录来影响机器人肢体甚至病人瘫痪肢体的运动,在过去的十年中取得了巨大的进展。然而,需要解决的一个主要问题是需要通过传入神经接口提供本体感觉反馈。本体感觉的丧失在很大程度上消除了计划运动动态或对肢体扰动进行快速纠正的能力,即使在有视觉的情况下也是如此。对于本体感觉信号在皮层内的表征的研究远远少于触觉,虽然通过对体感觉皮层的皮层内微刺激(S1)来恢复触觉已经取得了一些进展,但是对于本体感觉的研究却很少取得相应的成功。我们已经完成了一系列的实验,旨在研究肢体运动是如何被S1区2的神经元编码的。这些神经元发出肢体运动的信号,无论是由猴子主动产生的,还是作为被动肢体位移的结果。大多数神经元的放电都被调整到手部运动的方向,并且可以用一个单一的“优先方向”(PD)的正弦调谐曲线来合理准确地总结。甚至有证据表明,在主动运动开始之前,S1活动的引用复制成分就已经存在,并且在空间上与传入成分很好地对齐。S1神经元群对不同运动方向的表示是线性可分的,就像代表主动和被动运动的大脑状态一样。后者可能是由于单个神经元的运动和力表征的相互作用。我们现在已经开始了一系列新的实验,目标是通过刺激S1内的电极来重现这些自然的皮层活动模式,从而唤起肢体定向运动的感觉。通过刺激具有类似pd的小组电极,我们已经成功地诱导了肢体运动的感知,这种感知似乎与实际运动引起的感知相似。我们正致力于开发一种基于多个电极连续变化刺激的神经假体,以恢复高度脊髓损伤患者的本体感觉反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an afferent neural interface designed to mimic natural proprioception
Brain Machine Interfaces (BMIs) that use recordings from motor areas of the brain to effect movement of a robotic limb or even a patient's paralyzed limb have progressed tremendously in the past decade. However, a major issue to be addressed is the need to provide proprioceptive feedback through an afferent neural interface. Loss of proprioception largely eliminates the ability to plan movement dynamics or to make rapid corrections to limb perturbations even in the presence of vision. The representation of proprioceptive signals within the cortex has been far less studied than has touch, and while some progress has been made toward restoring touch through intracortical micro-stimulation of somatosensory cortex (S1), there has been as yet, very little corresponding success for proprioception. We have completed a series experiments designed to study the way limb movements are encoded by neurons in area 2 of S1. These neurons signal limb movement, whether generated actively by the monkey or as the result of a passive limb displacement. The discharge of most neurons is tuned to the direction of hand movement and can be summarized reasonably accurately by a sinusoidal tuning curve with a single “preferred direction” (PD). There is even evidence of an efference copy component of S1 activity that precedes the onset of active movement and is well aligned spatially with the afferent component. The representation of different movement directions by populations of S1 neurons is linearly separable, as is the brain state representing active and passive movements. The latter is likely due to the interaction of kinematic and force representation by individual neurons. We have now begun a new series of experiments, the goal of which is to evoke a sensation of directed limb movement by stimulating electrodes within S1 to recreate these natural patterns of cortical activity. By stimulating small groups of electrodes with similar PDs, we have succeeded in inducing perceptions of limb motion that appear to be similar to those caused by actual movement. We are working to develop a neuroprosthesis based on continuously varying stimulation of many electrodes, in order to restore proprioceptive feedback to patients with high-level spinal cord injury.
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