Muceli Silvia, Poppendieck Wigand, Negro Francesco, Yoshida Ken, Hoffmann Klaus P, Butler Jane E, Gandevia Simon C, Farina Dario
Department of Neurorehabilitation Engineering, Bernstein Focus Neurotechnology Göttingen, Bernstein Center for Computational Neuroscience, University Medical Center Göttingen, Georg-August University, 37075, Göttingen, Germany.
Department of Medical Engineering and Neuroprosthetics, Fraunhofer Institute for Biomedical Engineering, 66386, St Ingbert, Germany.
J Physiol. 2015 Sep 1;593(17):3789-804. doi: 10.1113/JP270902.
Intramuscular electrodes developed over the past 80 years can record the concurrent activity of only a few motor units active during a muscle contraction. We designed, produced and tested a novel multi-channel intramuscular wire electrode that allows in vivo concurrent recordings of a substantially greater number of motor units than with conventional methods. The electrode has been extensively tested in deep and superficial human muscles. The performed tests indicate the applicability of the proposed technology in a variety of conditions. The electrode represents an important novel technology that opens new avenues in the study of the neural control of muscles in humans. We describe the design, fabrication and testing of a novel multi-channel thin-film electrode for detection of the output of motoneurones in vivo and in humans, through muscle signals. The structure includes a linear array of 16 detection sites that can sample intramuscular electromyographic activity from the entire muscle cross-section. The structure was tested in two superficial muscles (the abductor digiti minimi (ADM) and the tibialis anterior (TA)) and a deep muscle (the genioglossus (GG)) during contractions at various forces. Moreover, surface electromyogram (EMG) signals were concurrently detected from the TA muscle with a grid of 64 electrodes. Surface and intramuscular signals were decomposed into the constituent motor unit (MU) action potential trains. With the intramuscular electrode, up to 31 MUs were identified from the ADM muscle during an isometric contraction at 15% of the maximal force (MVC) and 50 MUs were identified for a 30% MVC contraction of TA. The new electrode detects different sources from a surface EMG system, as only one MU spike train was found to be common in the decomposition of the intramuscular and surface signals acquired from the TA. The system also allowed access to the GG muscle, which cannot be analysed with surface EMG, with successful identification of MU activity. With respect to classic detection systems, the presented thin-film structure enables recording from large populations of active MUs of deep and superficial muscles and thus can provide a faithful representation of the neural drive sent to a muscle.
在过去80年中开发的肌内电极只能记录肌肉收缩期间同时活跃的少数运动单位的活动。我们设计、制作并测试了一种新型多通道肌内线状电极,与传统方法相比,它能够在体内同时记录数量更多的运动单位。该电极已在人体深层和浅层肌肉中进行了广泛测试。所进行的测试表明了所提出技术在各种条件下的适用性。该电极代表了一项重要的新技术,为人类肌肉神经控制的研究开辟了新途径。我们描述了一种新型多通道薄膜电极的设计、制造和测试,该电极用于通过肌肉信号在体内和人体中检测运动神经元的输出。该结构包括一个由16个检测位点组成的线性阵列,可从整个肌肉横截面采集肌内肌电图活动。在不同力量收缩期间,该结构在两块浅层肌肉(小指展肌(ADM)和胫骨前肌(TA))和一块深层肌肉(颏舌肌(GG))中进行了测试。此外,通过一个由64个电极组成的网格同时从TA肌肉检测表面肌电图(EMG)信号。表面和肌内信号被分解为组成运动单位(MU)动作电位序列。使用肌内电极,在等长收缩时,从小指展肌中在最大力量(MVC)的15%时最多可识别出31个运动单位,在胫骨前肌30%MVC收缩时可识别出50个运动单位。新电极检测的来源与表面肌电图系统不同,因为在从胫骨前肌采集的肌内和表面信号分解中,仅发现一个运动单位尖峰序列是相同的。该系统还能够检测颏舌肌,而表面肌电图无法对其进行分析,并且成功识别了运动单位活动。与传统检测系统相比,所展示的薄膜结构能够记录深层和浅层肌肉中大量活跃运动单位的活动,因此能够忠实地呈现发送到肌肉的神经驱动。