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Motor unit recruitment strategies and muscle properties determine the influence of synaptic noise on force steadiness

机译:运动单位募集策略和肌肉特性决定了突触噪声对力稳定性的影响

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摘要

Motoneurons receive synaptic inputs from tens of thousands of connections that cause membrane potential to fluctuate continuously (synaptic noise), which introduces variability in discharge times of action potentials. We hypothesized that the influence of synaptic noise on force steadiness during voluntary contractions is limited to low muscle forces. The hypothesis was examined with an analytical description of transduction of motor unit spike trains into muscle force, a computational model of motor unit recruitment and rate coding, and experimental analysis of interspike interval variability during steady contractions with the abductor digiti minimi muscle. Simulations varied contraction force, level of synaptic noise, size of motor unit population, recruitment range, twitch contraction times, and level of motor unit short-term synchronization. Consistent with the analytical derivations, simulations and experimental data showed that force variability at target forces above a threshold was primarily due to low-frequency oscillations in neural drive, whereas the influence of synaptic noise was almost completely attenuated by two low-pass filters, one related to convolution of motoneuron spike trains with motor unit twitches (temporal summation) and the other attributable to summation of single motor unit forces (spatial summation). The threshold force above which synaptic noise ceased to influence force steadiness depended on recruitment range, size of motor unit population, and muscle contractile properties. This threshold was low (<10% of maximal force) for typical values of these parameters. Results indicate that motor unit recruitment and muscle properties of a typical muscle are tuned to limit the influence of synaptic noise on force steadiness to low forces and that the inability to produce a constant force during stronger contractions is mainly attributable to the common low-frequency oscillations in motoneuron discharge rates.
机译:动词素从成千上万的连接中接收突触输入,这导致膜电位连续波动(突触噪声),这会导致动作电位放电时间的变化。我们假设在自动收缩过程中,突触噪声对力量稳定的影响仅限于低肌肉力量。该假说通过以下分析进行了检验:将运动单位钉训练转换为肌肉力的分析描述,运动单位募集和费率编码的计算模型,以及用小指外展肌稳定收缩过程中钉间间隔变化的实验分析。模拟会改变收缩力,突触噪声的水平,运动单位数量的大小,募集范围,抽搐收缩时间和运动单位短期同步水平。与分析推导一致,模拟和实验数据表明,目标力高于阈值时的力变化主要是由于神经驱动中的低频振荡引起的,而突触噪声的影响几乎被两个低通滤波器(一个为低通滤波器)完全衰减了。与运动神经元尖峰列车与电机单位抽动的卷积(时间总和)有关,另一个与单个电机单位力的总和(空间总和)有关。阈值力超过该阈值时,突触噪声停止影响力的稳定性取决于募集范围,运动单位数量的大小和肌肉收缩特性。对于这些参数的典型值,此阈值很低(<最大力的10%)。结果表明,调整了典型肌肉的运动单位募集和肌肉属性,以将突触噪声对力稳定性的影响限制为低力,而在更强的收缩过程中无法产生恒定的力主要归因于常见的低频振荡在运动神经元放电率上。

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