Interfacing the neural output of the spinal cord: robust and reliable longitudinal identification of motor neurons in humans
Interfacing the neural output of the spinal cord: robust and reliable longitudinal identification of motor neurons in humans
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DOI：
10.1088/1741-2552/ab4d05
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发表时间：
2020-02-01
影响因子：
4
通讯作者：
Farina, D.
中科院分区：
文献类型：
--
作者：
Del Vecchio, A.;Farina, D.
Objective.非侵入性肌电技术可以检测具有高空间维度的肌肉单位的动作电位。这些技术允许通过使用放置在覆盖收缩肌肉的皮肤上的高密度电极网格来解码运动单元的大样本，从而提供人类脊髓输出的非侵入性表示。Approach.从>1200个解码的运动神经元的样本中，我们表明，运动神经元的活动可以在人类的整个肌肉募集范围内以高准确度进行识别。主要结果。在展示了具有新的测试参数的分解的有效性之后，我们证明了可以在一个月的时间内跟踪相同的运动神经元，这允许对单个人类神经细胞进行纵向分析。意义这些结果表明，在生理调查中的运动神经元的大群体的准确和可靠的评估的潜力。我们讨论了这种非侵入性的神经接口技术的运动和人机接口的神经决定因素的研究的潜力。
Objective. Non-invasive electromyographic techniques can detect action potentials from muscle units with high spatial dimensionality. These technologies allow the decoding of large samples of motor units by using high-density grids of electrodes that are placed on the skin overlying contracting muscles and therefore provide a non-invasive representation of the human spinal cord output. Approach. From a sample of >1200 decoded motor neurons, we show that motor neuron activity can be identified in humans in the full muscle recruitment range with high accuracy. Main results. After showing the validity of decomposition with novel test parameters, we demonstrate that the same motor neurons can be tracked over a period of one-month, which allows for the longitudinal analysis of individual human neural cells. Significance. These results show the potential of an accurate and reliable assessment of large populations of motor neurons in physiological investigations. We discuss the potential of this non-invasive neural interfacing technology for the study of the neural determinants of movement and man-machine interfacing.