Farina Dario, Negro Francesco, Dideriksen Jakob Lund
Department of Neurorehabilitation Engineering, Bernstein Focus Neurotechnology Göttingen, Bernstein Center for Computational Neuroscience, University Medical Center Göttingen, Georg-August University, Göttingen, Germany
Department of Neurorehabilitation Engineering, Bernstein Focus Neurotechnology Göttingen, Bernstein Center for Computational Neuroscience, University Medical Center Göttingen, Georg-August University, Göttingen, Germany.
J Physiol. 2014 Aug 15;592(16):3427-41. doi: 10.1113/jphysiol.2014.273581. Epub 2014 May 23.
We analysed the transformation of synaptic input to the pool of motor neurons into the neural drive to the muscle. The aim was to explain the relations between common oscillatory signals sent to motor neurons and the effective component of the neural signal sent to muscles as output of the spinal cord circuitries. The approach is based on theoretical derivations, computer simulations, and experiments. It is shown theoretically that for frequencies smaller than the average discharge rates of the motor neurons, the pool of motor neurons determines a pure amplification of the frequency components common to all motor neurons, so that the common input is transmitted almost undistorted and the non-common components are strongly attenuated. The effective neural drive to the muscle thus mirrors the common synaptic input to motor neurons. The simulations with three models of motor neuron confirmed the theoretical results by showing that the coherence function between common input components and the neural drive to the muscle tends to 1 when increasing the number of active motor neurons. This result, which was relatively insensitive to the type of model used, was also supported experimentally by observing that, in the low-pass signal bandwidth, the peak in coherence between groups of motor units of the abductor digiti minimi muscle of five healthy subjects tended to 1 when increasing the number of motor units. These results have implications for our understanding of the neural control of muscles as well as for methods used for estimating the strength of common input to populations of motor neurons.
我们分析了运动神经元池的突触输入向肌肉神经驱动的转化。目的是解释发送至运动神经元的常见振荡信号与作为脊髓回路输出发送至肌肉的神经信号有效成分之间的关系。该方法基于理论推导、计算机模拟和实验。理论表明,对于低于运动神经元平均放电率的频率,运动神经元池决定了所有运动神经元共有的频率成分的纯放大,因此共同输入几乎无失真地传递,而非共同成分则被强烈衰减。因此,对肌肉的有效神经驱动反映了对运动神经元的共同突触输入。对三种运动神经元模型的模拟证实了理论结果,即随着活动运动神经元数量的增加,共同输入成分与肌肉神经驱动之间的相干函数趋于1。这一结果对所用模型类型相对不敏感,通过观察也得到了实验支持,即在低通信号带宽内,当增加运动单位数量时,五名健康受试者小指展肌运动单位组之间的相干峰值趋于1。这些结果对我们理解肌肉的神经控制以及用于估计运动神经元群体共同输入强度的方法具有重要意义。