Department of Biomedical Engineering, Case Western University School of Medicine, Cleveland, OH, USA.
Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Parkinsonism Relat Disord. 2019 Sep;66:130-137. doi: 10.1016/j.parkreldis.2019.07.024. Epub 2019 Jul 20.
Dystonia is often associated with repetitive jerky oscillations (i.e. dystonic tremor), while tremor is characterized by sinusoidal oscillations. We propose two competing predictions for dystonic tremor and sinusoidal tremor relationship. In any given patient, (1) the oscillation could be characterized as either sinusoidal or jerky based on the degree of distortion in the waveforms, (2) the oscillation consists of both sinusoidal and jerky waveforms mixed in a certain proportion that varies among individuals. We objectively test these predictions in patients with cervical dystonia.
We recorded head oscillations in 14 subjects with cervical dystonia using a high-resolution magnetic field search coil system. Distortion in the signal was used as a measure of jerkiness. A hierarchical clustering classified the oscillations based on distortion characteristics.
Signal analysis in the frequency domain allowed identification of the components of the waveforms at frequencies other than the fundamental frequency. The distortion from the component at fundamental frequency was present in both low and high frequency range. Based on varying levels of distortions, i.e. jerkiness, the head oscillations were grouped into 4 clusters: one cluster with lowest distortion (sinusoidal waveforms), one cluster with highest distortion (jerky waveforms), and two intermediate clusters - one with distortion at low frequency and another with distortion at high frequency. The distribution of 4 clusters varied across subjects suggesting co-existence of sinusoidal and jerky waveforms.
These results support the prediction that jerky and sinusoidal waveforms concur in cervical dystonia. Amount of concurrence varies amongst patients.
肌张力障碍通常与反复的急动性震颤(即肌张力障碍性震颤)相关,而震颤的特征是正弦性震颤。我们对肌张力障碍性震颤和正弦性震颤的关系提出了两个相互竞争的预测。在任何给定的患者中,(1)根据波形的扭曲程度,可将震颤特征归类为正弦性或急动性;(2)震颤由正弦性和急动性混合而成,在个体之间以一定的比例混合。我们在颈肌张力障碍患者中客观地检验了这些预测。
我们使用高分辨率磁场搜索线圈系统记录了 14 名颈肌张力障碍患者的头部震颤。信号的扭曲度被用作急动性的度量。分层聚类根据扭曲特征对震颤进行分类。
在频域中的信号分析允许在基频以外的频率识别波形的分量。来自基频分量的失真存在于低频和高频范围内。根据不同程度的失真,即急动性,头部震颤被分为 4 个簇:一个具有最低失真(正弦波形)的簇,一个具有最高失真(急动性波形)的簇,以及两个中间簇 - 一个在低频失真,另一个在高频失真。4 个簇的分布在不同的患者之间存在差异,表明正弦性和急动性波形同时存在。
这些结果支持了肌张力障碍中急动性和正弦性波形并存的预测。并存的程度在患者之间有所不同。