Departments of Neurology, School of Medicine, University of Patras, Patras, Greece.
Department of Electrical and Computer Engineering, University of Patras, Patras, Greece.
Clin Neurophysiol. 2019 Oct;130(10):1954-1961. doi: 10.1016/j.clinph.2019.08.002. Epub 2019 Aug 16.
We assessed the clinical usefulness of repeater F-waves (Freps) analysis in amyotrophic lateral sclerosis (ALS), using an automated computerized system (F Wave Analyzer).
Forty consecutive F-waves were recorded from the ulnar and peroneal nerve in 52 patients with ALS and 52 healthy control subjects. Data were imported into the F Wave Analyzer which identifies Freps and groups them. Parameters of Freps and non repeater F-waves (Fnonreps) were compared.
Total number of repeating neurons, Freps persistence (100xFreps/40stimuli) and Index Total Freps (100xFreps/total number of F-waves) were significantly higher in the ALS compared to the control group (P ≤ 0.005). There were no consistent differences of F-wave latency or amplitude measurements between Freps and Fnonreps for both studied groups, with the exception of prolonged Freps minimum latency in ALS.
In ALS, the high numbers of Freps, reduced overall F-wave persistence and increased F-wave amplitude measurements in a relatively unaffected nerve-muscle complex reflects excitability alterations of the corresponding motor neuron pool. Overall, automatic analysis facilitates accurate and fast detection of Freps and could be useful in other clinical settings.
Analysis of repeater F-waves is expected to provide new insight regarding ALS pathophysiology and utilized for monitoring in clinical drug trials.
我们使用自动计算机化系统(F 波分析器)评估重复 F 波(Freps)分析在肌萎缩侧索硬化症(ALS)中的临床应用价值。
从 52 例 ALS 患者和 52 名健康对照者的尺神经和腓总神经中记录了 40 个连续的 F 波。将数据导入 F 波分析器,该分析器可识别 Freps 并对其进行分组。比较 Freps 和非重复 F 波(Fnonreps)的参数。
与对照组相比,ALS 组的重复神经元总数、Freps 持续时间(100xFreps/40 次刺激)和总 Freps 指数(100xFreps/总 F 波数)均显著升高(P≤0.005)。在两个研究组中,除了 ALS 中的 Freps 最小潜伏期延长外,Freps 和 Fnonreps 的 F 波潜伏期或振幅测量值没有一致的差异。
在 ALS 中,Freps 数量高、整体 F 波持续时间降低以及相对未受影响的神经肌肉复合体中 F 波振幅测量值增加反映了相应运动神经元池的兴奋性改变。总体而言,自动分析有助于准确、快速地检测 Freps,并可在其他临床环境中使用。
重复 F 波分析有望为 ALS 病理生理学提供新的见解,并在临床试验中用于监测。