Literature DB >> 26242815

An improved electrical impedance myography (EIM) tongue array for use in clinical trials.

Courtney McIlduff1, Sung Yim2, Adam Pacheck2, Tom Geisbush2, Aleksandar Mijailovic2, Seward B Rutkove2.   

Abstract

OBJECTIVES: Electrical impedance myography (EIM) measurements of the tongue could provide valuable information about bulbar dysfunction in amyotrophic lateral sclerosis (ALS). A prototype tongue depressor EIM array produced gag reflexes. The objectives of this study were to determine the reliability, mean phase values, and tolerability of tongue EIM measurements using a smaller electrode array.
METHODS: Tongue EIM measurements were performed in a total of 31 healthy individuals and four neuromuscular patients with lingual abnormalities. Reliability was assessed by calculating the intraclass correlation coefficient (ICC) and percent difference in addition to performing Bland-Altman analyses. Standard descriptive statistics, including results of a Mann-Whitney test, were also determined.
RESULTS: At the 50 kHz frequency, the ICCs for intra- and inter-rater reliability were 0.76 with 5.17% difference and 0.78 with 5.34% difference respectively. The mean EIM phase values of healthy participants (11.61° ± 1.00°) and patients (9.87° ± 1.28°) were significantly different (p=0.0051). None of the participants experienced gag reflexes or discomfort.
CONCLUSIONS: The small tongue array provided good inter- and intra-rater reliability, could preliminarily distinguish between healthy and diseased muscle, and was well-tolerated. SIGNIFICANCE: Biomarker information about tongue health could be more comfortably obtained with a smaller EIM array.
Copyright © 2015 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Amyotrophic lateral sclerosis; Biomarker; Bulbar; Electrical impedance myography; Reliability; Tongue

Mesh:

Year:  2015        PMID: 26242815      PMCID: PMC4698239          DOI: 10.1016/j.clinph.2015.06.021

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  16 in total

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  5 in total

1.  Tongue electrical impedance in amyotrophic lateral sclerosis modeled using the finite element method.

Authors:  Adam Pacheck; Alex Mijailovic; Sung Yim; Jia Li; Jordan R Green; Courtney E McIlduff; Seward B Rutkove
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4.  In vivo muscle conduction study of the tongue using a multi-electrode tongue depressor.

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Journal:  Clin Neurophysiol       Date:  2020-12-10       Impact factor: 3.708

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