Lim K Y, Thomas C K, Rymer W Z
Department of Biomedical Engineering, Northwestern University Chicago, Illinois.
Muscle Nerve. 1995 Feb;18(2):165-74. doi: 10.1002/mus.880180204.
Estimates of mechanical properties of human motor units have usually been made indirectly, using the technique of "spike-triggered averaging" (STA). In this method, a single motor unit action potential is used to synchronize the accumulation of an ensemble average of correlated force transients. However, under most realizable conditions, these transients are recorded during periods of sustained motor unit discharge, in which each motor unit is producing a partially fused tetanus. Therefore, the STA technique extracts the characteristics of the unfused force transient, instead of the desired single motor unit twitch. Although the STA method has been widely used, there is as yet no well-established relation between the force transient in the unfused tetanus, and the twitch contraction properties of the motor unit. To evaluate the accuracy of the STA as a measure of the motor unit mechanical properties, we applied two types of muscle models to the force transients recorded in an unfused tetanus, using data derived from experiments in which the response to a single twitch was also recorded. Our objective was to see whether accurate predictions of single motor unit mechanical characteristics are possible, working backward from the STA. The models chosen for this task were a linear second order model, and the distribution-moment (DM) model. These model predictions were then compared with the STA response, and with the twitch properties of the individual motor units. We also evaluated the utility of extrapolating the initial slope of the STA backward to improve the accuracy of the mechanical estimates. The results of our simulation suggest that there is no straightforward relation between the characteristics of the unfused tetanus and the mechanical properties of the single twitch. Although our attempts to predict the properties of the single twitch from the STA were only partly successful, the results of the simulations were far more accurate than those derived from the STA alone. Because the errors in the use of the STA method were so substantial, we would urge that the STA technique be used with great caution as a measure of twitch contraction properties, unless accompanied by appropriate simulations of muscle mechanical behavior.
人体运动单位力学特性的估计通常是间接进行的,采用“触发脉冲平均法”(STA)。在这种方法中,单个运动单位动作电位用于同步相关力瞬变的总体平均值的积累。然而,在大多数可实现的条件下,这些瞬变是在运动单位持续放电期间记录的,在此期间每个运动单位产生部分融合的强直收缩。因此,STA技术提取的是未融合力瞬变的特征,而不是所需的单个运动单位抽搐的特征。尽管STA方法已被广泛使用,但在未融合强直收缩中的力瞬变与运动单位的抽搐收缩特性之间,尚未建立起完善的关系。为了评估STA作为运动单位力学特性测量方法的准确性,我们将两种类型的肌肉模型应用于未融合强直收缩中记录的力瞬变,使用的数据来自于也记录了对单个抽搐反应的实验。我们的目标是看看从STA反向推导,是否有可能准确预测单个运动单位的力学特性。为此任务选择的模型是线性二阶模型和分布矩(DM)模型。然后将这些模型预测结果与STA反应以及单个运动单位的抽搐特性进行比较。我们还评估了将STA的初始斜率向后外推以提高力学估计准确性的效用。我们的模拟结果表明,未融合强直收缩的特征与单个抽搐的力学特性之间没有直接关系。尽管我们从STA预测单个抽搐特性的尝试仅部分成功,但模拟结果比仅从STA得出的结果要准确得多。由于使用STA方法时的误差非常大,我们强烈建议,除非伴有适当的肌肉力学行为模拟,否则应极其谨慎地使用STA技术来测量抽搐收缩特性。