Multi-dimensional electrical impedance myography of the tongue as a potential biomarker for amyotrophic lateral sclerosis.


Journal

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
ISSN: 1872-8952
Titre abrégé: Clin Neurophysiol
Pays: Netherlands
ID NLM: 100883319

Informations de publication

Date de publication:
04 2020
Historique:
received: 09 09 2019
revised: 09 12 2019
accepted: 15 12 2019
pubmed: 18 2 2020
medline: 19 12 2020
entrez: 18 2 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32066098
pii: S1388-2457(20)30032-8
doi: 10.1016/j.clinph.2019.12.418
pii:
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

799-808

Subventions

Organisme : Medical Research Council
ID : MR/K000039/1
Pays : United Kingdom
Organisme : Motor Neurone Disease Association
ID : TURNER/OCT15/972-797
Pays : United Kingdom

Informations de copyright

Copyright © 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Auteurs

James J P Alix (JJP)

Sheffield Institute for Translational Neuroscience, University of Sheffield, UK; Department of Clinical Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, UK. Electronic address: j.alix@sheffield.ac.uk.

Harry E McDonough (HE)

Sheffield Institute for Translational Neuroscience, University of Sheffield, UK.

Buket Sonbas (B)

Department of Automatic Control and Systems Engineering, University of Sheffield.

Sophie J French (SJ)

Sheffield Institute for Translational Neuroscience, University of Sheffield, UK.

D Ganesh Rao (DG)

Department of Clinical Neurophysiology, Sheffield Teaching Hospitals NHS Foundation Trust, UK.

Visakan Kadirkamanathan (V)

Department of Automatic Control and Systems Engineering, University of Sheffield.

Christopher J McDermott (CJ)

Sheffield Institute for Translational Neuroscience, University of Sheffield, UK; Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, UK.

T Jamie Healey (TJ)

Department of Clinical Engineering, Sheffield Teaching Hospitals NHS Foundation Trust, UK.

Pamela J Shaw (PJ)

Sheffield Institute for Translational Neuroscience, University of Sheffield, UK; Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, UK.

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