Yaar I, Niles L
Neurology Section, VA Medical Center, Providence, Rhode Island 02908.
Muscle Nerve. 1992 Jul;15(7):780-7. doi: 10.1002/mus.880150706.
This study investigated the relation of muscle fiber conduction velocity (MFCV) to difference power spectrum mean frequency (MF), their fatigue trends, and differences between their values and their fatigue trends in various neuromuscular disorders. Electromyographic interference pattern was recorded inside the biceps in continuous isometric maximal voluntary contractions. Each subject was encouraged to pull for as long as possible. Fatigue was calculated as percent of time to complete inability to sustain contraction. The MFCV was computed by cross-correlation. The MF was computed by differencing, windowing, FFT, squaring of coefficient, and repeat averaging. There were 33 healthy, 86 polyneuropathic, 28 myasthenic, 13 myotonic, and 32 myopathic patients. Both MFCV and MF changed significantly with fatigue--the MFCV linearly, while the MF in a markedly nonlinear fashion. Both were found to be insensitive to the end stages of muscle fatigue--the MFCV did not change its slope toward complete fatigue, and the MF did not change at all beyond the 40% fatigue point. A statistically sound fatigue regression equation was derived for each, and a nonlinear equation was found to best describe their relationship. Neither MFCV nor its fatigue changes were found to be significantly different across the neuromuscular disorders. The MF, however, was found to be significantly different in some neuromuscular disorders in both its average values and fatigue trends. This study showed, in contrast to the literature, a nonlinear relationship between MFCV and MF. It also shows that neither the MFCV nor the MF had reasonable diagnostic power on its own; however, the MF was very promising to serve as an adjunct to other variables.
本研究调查了肌纤维传导速度(MFCV)与差分功率谱平均频率(MF)的关系、它们的疲劳趋势,以及在各种神经肌肉疾病中它们的值及其疲劳趋势之间的差异。在持续等长最大自主收缩过程中,记录肱二头肌内部的肌电图干扰模式。鼓励每个受试者尽可能长时间地牵拉。疲劳程度以达到无法维持收缩的时间百分比来计算。MFCV通过互相关计算得出。MF通过差分、加窗、快速傅里叶变换(FFT)、系数平方和重复平均来计算。共有33名健康受试者、86名多神经病患者、28名重症肌无力患者、13名肌强直患者和32名肌病患者。MFCV和MF均随疲劳而显著变化——MFCV呈线性变化,而MF呈明显的非线性变化。两者均被发现对肌肉疲劳的末期不敏感——MFCV在接近完全疲劳时斜率不变,而MF在超过40%疲劳点后完全没有变化。为两者分别推导了具有统计学意义的疲劳回归方程,并且发现非线性方程最能描述它们之间的关系。在各种神经肌肉疾病中,未发现MFCV及其疲劳变化有显著差异。然而,发现MF在一些神经肌肉疾病中的平均值和疲劳趋势均有显著差异。与文献相反,本研究表明MFCV和MF之间存在非线性关系。研究还表明,MFCV和MF单独都没有合理的诊断能力;然而,MF作为其他变量的辅助指标很有前景。