Characterizing repeater F waves using the compound muscle action potential scan and machine learning techniques

IF 2.7 4区医学 Q2 CLINICAL NEUROLOGY

Neurophysiologie Clinique/Clinical Neurophysiology Pub Date : 2025-05-08 DOI:10.1016/j.neucli.2025.103076

Xiaoyan Li , Maoqi Chen , Paul E. Barkhaus , Sanjeev D. Nandedkar , Marek Cierny , Caitlin Moore , Ping Zhou

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引用次数: 0

Abstract

Objectives

The purpose of this study is to introduce a new analytical technique on repeater F waves (RFws) using compound muscle action potential (CMAP) scan and new features to differentiate the nerves innervating hand muscles.

Methods

Twenty-four healthy subjects participated in the CMAP scan study. Tests were performed on the abductor pollicis brevis (APB) and abductor digit minimi (ADM) muscles. RFws were extracted using unsupervised machine learning and analyzed through conventional characteristics such as amplitude, latency, indices of F repeaters and total F repeaters, as well by new variables, including relative stimulus intensity (ReSI), relative F/M ratio (RF/MR), and range of stimulation intensity (RaSI).

Results

Significantly higher indices of F repeaters (APB: 18.42±4.92 %, ADM: 13.58±4.68 %, p < 0.005) and total F repeaters (APB: 34.75±7.8 %, ADM: 26.67±8.56 %, p < 0.005) were observed in the APB compared with the ADM muscles. The ReSI (Z = 13.81, p < 0.001) and RaSI (Z=-2.46, p < 0.05) showed significant differences between the two muscles.

Discussion and Conclusion

This study provides normative data for RFws based on the CMAP scan recording and identifies different characteristics of repeaters between APB and ADM muscles. Findings of the study improve understanding of motoneuron physiological properties in hand muscles. The CMAP scan-based F wave analysis can be combined with motor unit number estimation technique to provide insights into surviving motoneuron function in neurological disorders.

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使用复合肌肉动作电位扫描和机器学习技术表征重复F波

目的介绍一种利用复合肌肉动作电位（CMAP）扫描的重复F波（RFws）分析新技术，并结合新特征对支配手部肌肉的神经进行鉴别。方法24名健康受试者参与CMAP扫描研究。对外展拇短肌（APB）和外展极小指肌（ADM）进行了测试。使用无监督机器学习提取RFws，并通过振幅、潜伏期、F中继器指数和总F中继器等常规特征以及相对刺激强度（ReSI）、相对F/M比（RF/MR）和刺激强度范围（RaSI）等新变量进行分析。结果APB: 18.42±4.92%,ADM: 13.58±4.68%,p <；0.005)和总F重复器(APB: 34.75±7.8%,ADM: 26.67±8.56%,p <；与ADM肌肉相比，APB肌肉的心肌密度为0.005)。ReSI (Z = 13.81, p <；0.001)和RaSI (Z=-2.46, p <；0.05)，差异有统计学意义。讨论与结论本研究基于CMAP扫描记录为RFws提供了规范性数据，并确定了APB和ADM肌肉之间中继器的不同特征。研究结果提高了对手部肌肉运动神经元生理特性的认识。基于CMAP扫描的F波分析可以与运动单元数估计技术相结合，以提供对神经系统疾病中存活的运动神经元功能的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neurophysiologie Clinique/Clinical Neurophysiology 医学-临床神经学

CiteScore

5.20

自引率

3.30%

发文量

审稿时长

60 days

期刊介绍： Neurophysiologie Clinique / Clinical Neurophysiology (NCCN) is the official organ of the French Society of Clinical Neurophysiology (SNCLF). This journal is published 6 times a year, and is aimed at an international readership, with articles written in English. These can take the form of original research papers, comprehensive review articles, viewpoints, short communications, technical notes, editorials or letters to the Editor. The theme is the neurophysiological investigation of central or peripheral nervous system or muscle in healthy humans or patients. The journal focuses on key areas of clinical neurophysiology: electro- or magneto-encephalography, evoked potentials of all modalities, electroneuromyography, sleep, pain, posture, balance, motor control, autonomic nervous system, cognition, invasive and non-invasive neuromodulation, signal processing, bio-engineering, functional imaging.