Literature DB >> 33207324

Modelling and analysis of electrical impedance myography of the lateral tongue.

Chlöe N Schooling1, T Jamie Healey, Harry E McDonough, Sophie J French, Christopher J McDermott, Pamela J Shaw, Visakan Kadirkamanathan, James J P Alix.   

Abstract

OBJECTIVE: Electrical impedance myography (EIM) performed on the centre of the tongue shows promise in detecting amyotrophic lateral sclerosis (ALS). Lateral recordings may improve diagnostic performance and provide pathophysiological insights through the assessment of asymmetry. However, it is not known if electrode proximity to the muscle edge, or electrode rotation, distort spectra. We evaluated this using finite element-based modelling. APPROACH: Nine thousand EIM from patients and healthy volunteers were used to develop a finite element model for phase and magnitude. Simulations varied electrode proximity to the muscle edge and electrode rotation. LT-Spice simulations assessed disease effects. Patient data were assessed for reliability, agreement and classification performance. MAIN
RESULTS: No effect on phase spectra was seen if all electrodes remained in contact with the tissue. Small effects on magnitude were observed. Cole-Cole circuit simulations indicated capacitance reduced with disease severity. Lateral tongue muscle recordings in both patients and healthy volunteers were reproducible and symmetrical. Combined lateral/central tongue EIM improved disease classification compared to either placement alone. SIGNIFICANCE: Lateral EIM tongue measurements using phase angle are feasible. Such measurements are reliable, find no evidence of tongue muscle asymmetry in ALS and improve disease classification. Lateral measurements enhance tongue EIM in ALS.

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Year:  2021        PMID: 33207324     DOI: 10.1088/1361-6579/abcb9b

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  1 in total

1.  Determination of the Geometric Parameters of Electrode Systems for Electrical Impedance Myography: A Preliminary Study.

Authors:  Andrey Briko; Vladislava Kapravchuk; Alexander Kobelev; Alexey Tikhomirov; Ahmad Hammoud; Mugeb Al-Harosh; Steffen Leonhardt; Chuong Ngo; Yury Gulyaev; Sergey Shchukin
Journal:  Sensors (Basel)       Date:  2021-12-24       Impact factor: 3.576

  1 in total

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