Sheffield Institute for Translational Neuroscience, University of Sheffield, UK; Department of Clinical Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, UK.
Sheffield Institute for Translational Neuroscience, University of Sheffield, UK.
Clin Neurophysiol. 2020 Apr;131(4):799-808. doi: 10.1016/j.clinph.2019.12.418. Epub 2020 Feb 1.
In amyotrophic lateral sclerosis (ALS) bulbar disease biomarkers are lacking. We evaluated a novel tongue electrical impedance myography (EIM) system, utilising both 2D and 3D electrode configurations for detection of tongue pathology.
Longitudinal multi-frequency phase angle spectra were recorded from 41 patients with ALS (baseline, 3 and 6 months) and 30 healthy volunteers (baseline and 6 months). ALS functional rating scale-revised (ALSFRS-R) data and quantitative tongue strength measurements were collected. EIM data were analysed for reliability (intra-class correlation coefficient; ICC) and differences between patients and volunteers ascertained using both univariate (Mann-Whitney U test) and multivariate techniques (feature selection and L2 norm).
The device produced highly reliable data (pooled ICC: 0.836). Significant EIM differences were apparent between ALS patients and healthy volunteers (P < 0.001). EIM data demonstrated a significant relationship to tongue strength and bulbar ALSFRS-R scores (P < 0.015). The EIM recordings revealed a group level longitudinal change over 6 months and consistently identified patients in whom symptoms or tongue strength changed.
The novel EIM tongue system produces reliable data and can differentiate between healthy muscle and ALS-related disease.
Tongue EIM utilising multiple frequencies and electrode configurations has potential as a bulbar disease biomarker in ALS.
在肌萎缩侧索硬化症（ALS）的延髓疾病中缺乏生物标志物。我们评估了一种新型的舌电阻抗肌图（EIM）系统，该系统利用 2D 和 3D 电极配置来检测舌病理。
对 41 名 ALS 患者（基线、3 个月和 6 个月）和 30 名健康志愿者（基线和 6 个月）进行了纵向多频相位角谱记录。收集 ALS 功能评定量表修订版（ALSFRS-R）数据和定量舌强度测量值。使用单变量（曼-惠特尼 U 检验）和多变量技术（特征选择和 L2 范数）确定 EIM 数据的可靠性（组内相关系数；ICC）和患者与志愿者之间的差异。
该设备产生了高度可靠的数据（汇总 ICC：0.836）。ALS 患者与健康志愿者之间的 EIM 差异明显（P<0.001）。EIM 数据与舌强度和延髓 ALSFRS-R 评分有显著相关性（P<0.015）。EIM 记录显示，6 个月内有一个组水平的纵向变化，并且可以一致地识别出症状或舌强度发生变化的患者。
新型 EIM 舌系统可产生可靠的数据，并可区分健康肌肉和 ALS 相关疾病。
利用多种频率和电极配置的舌 EIM 具有作为 ALS 延髓疾病生物标志物的潜力。
