Literature DB >> 20834112

Correlation between muscle electrical impedance data and standard neurophysiologic parameters after experimental neurogenic injury.

M Ahad1, S B Rutkove.   

Abstract

Previous work has shown that electrical impedance measurements of muscle can assist in quantifying the degree of muscle atrophy resulting from neuronal injury, with impedance values correlating strongly with standard clinical parameters. However, the relationship between such data and neurophysiologic measurements is unexplored. In this study, 24 Wistar rats underwent sciatic crush, with measurement of the 2-1000 kHz impedance spectrum, standard electrophysiological measures, including nerve conduction studies, needle electromyography, and motor unit number estimation (MUNE) before and after sciatic crush, with animals assessed weekly for 4 weeks post-injury. All electrical impedance values, including a group of 'collapsed' variables, in which the spectral characteristics were reduced to single values, showed reductions as high as 47.2% after sciatic crush, paralleling and correlating with changes in compound motor action potential amplitude, conduction velocity and most closely to MUNE, but not to the presence of fibrillation potentials observed on needle electromyography. These results support the concept that localized impedance measurements can serve as surrogate makers of nerve injury; these measurements may be especially useful in assessing nerve injury impacting proximal or axial muscles where standard quantitative neurophysiologic methods such as nerve conduction or MUNE cannot be readily performed.

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Year:  2010        PMID: 20834112     DOI: 10.1088/0967-3334/31/11/003

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


  6 in total

1.  The neuromuscular impact of symptomatic SMN restoration in a mouse model of spinal muscular atrophy.

Authors:  W Arnold; Vicki L McGovern; Benjamin Sanchez; Jia Li; Kaitlyn M Corlett; Stephen J Kolb; Seward B Rutkove; Arthur H Burghes
Journal:  Neurobiol Dis       Date:  2015-12-28       Impact factor: 5.996

2.  Predicting myofiber cross-sectional area and triglyceride content with electrical impedance myography: A study in db/db mice.

Authors:  Sarbesh R Pandeya; Janice A Nagy; Daniela Riveros; Carson Semple; Rebecca S Taylor; Marie Mortreux; Benjamin Sanchez; Kush Kapur; Seward B Rutkove
Journal:  Muscle Nerve       Date:  2020-10-28       Impact factor: 3.217

3.  Estimating myofiber cross-sectional area and connective tissue deposition with electrical impedance myography: A study in D2-mdx mice.

Authors:  Sarbesh R Pandeya; Janice A Nagy; Daniela Riveros; Carson Semple; Rebecca S Taylor; Marie Mortreux; Benjamin Sanchez; Kush Kapur; Seward B Rutkove
Journal:  Muscle Nerve       Date:  2021-04-07       Impact factor: 3.852

4.  Assessment of Optimized Electrode Configuration for Electrical Impedance Myography Using Genetic Algorithm via Finite Element Model.

Authors:  Somen Baidya; Mohammad A Ahad
Journal:  J Med Eng       Date:  2016-10-24

5.  Assessing Rat Forelimb and Hindlimb Motor Unit Connectivity as Objective and Robust Biomarkers of Spinal Motor Neuron Function.

Authors:  Markus E Harrigan; Angela R Filous; Andrew P Tosolini; Renee Morris; Jan M Schwab; W David Arnold
Journal:  Sci Rep       Date:  2019-11-13       Impact factor: 4.379

6.  Alterations in Localized Electrical Impedance Myography of Biceps Brachii Muscles Paralyzed by Spinal Cord Injury.

Authors:  Le Li; Argyrios Stampas; Henry Shin; Xiaoyan Li; Ping Zhou
Journal:  Front Neurol       Date:  2017-06-20       Impact factor: 4.003

  6 in total

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