Sensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, IL 60611, USA.
J Neurophysiol. 2013 Sep;110(5):1205-20. doi: 10.1152/jn.00301.2012. Epub 2013 May 22.
Voluntary muscle force control is accomplished both by recruitment of motor units (MUs) and by firing rate modulation of active MUs. Typically, MU recruitment and firing rate organization is assessed using piecemeal intramuscular recordings drawn from different experiments, or even from different subjects. As a consequence, it is often difficult to assemble a systematic description of the relations between the different MU properties relevant to the control of muscle force. To address this gap, the objective of our current study was to characterize recruitment and firing rate organization of multiple MUs of differing action potential size, recorded simultaneously from the first dorsal interosseous muscle of intact human subjects, using a recently developed surface electromyogram (EMG) sensor array recording and decomposition system (Delsys). We sought to assess the relation between putative MU size and the recruitment and firing properties for these MUs, recorded at different muscle contraction levels. Spike-triggered averaging (STA) of the surface EMG was performed to estimate the action potential sizes using the firing times of discriminated MUs as the event triggers. The results show that the size principle, which relates MU size to recruitment rank order, was clearly evident during individual force contractions. In addition, the mean firing rate across MUs decreased with increasing size of the MU action potential and was also inversely proportional to the recruitment threshold force. We propose that surface EMG recordings together with advanced decomposition systems, combined with STA methods, may provide an efficient way to systematically examine MU pool organizational properties.
自愿性肌肉力量控制是通过运动单位(MU)的募集和活动 MU 的发放率调制来实现的。通常,MU 的募集和发放率组织是通过来自不同实验甚至不同受试者的肌内分段记录来评估的。因此,通常很难系统地描述与肌肉力量控制相关的不同 MU 属性之间的关系。为了解决这一差距,我们目前的研究目的是使用最近开发的表面肌电图(EMG)传感器阵列记录和解构系统(Delsys),从完整人类受试者的第一背间骨间肌同时记录和分析具有不同动作电位大小的多个 MU 的募集和发放率组织。我们试图评估这些 MU 在不同肌肉收缩水平下记录的假定 MU 大小与募集和发放特性之间的关系。通过使用区分 MU 的发放时间作为事件触发,对表面 EMG 进行尖峰触发平均(STA)以估计动作电位大小。结果表明,在个体力收缩期间,与募集等级顺序相关的 MU 大小的大小原则明显存在。此外,MU 的平均发放率随 MU 动作电位大小的增加而降低,并且与募集阈值力成反比。我们提出,表面 EMG 记录结合先进的分解系统,并结合 STA 方法,可能为系统地检查 MU 池组织特性提供一种有效的方法。