Literature DB >> 27117334

Lower motor neuron dysfunction in ALS.

Mamede de Carvalho1, Michael Swash2.   

Abstract

In the motor system there is a complex interplay between cortical structures and spinal cord lower motor neurons (LMN). In this system both inhibitory and excitatory neurons have relevant roles. LMN loss is a marker of motor neuron disease/amyotrophic lateral sclerosis (MND/ALS). Conventional needle electromyography (EMG) does not allow LMN loss to be quantified. Measurement of compound muscle action potential (CMAP) amplitude or area, and the neurophysiological index, provide a surrogate estimate of the number of functional motor units. Increased motor neuronal excitability is a neurophysiological marker of ALS in the context of a suspected clinical and electrophysiological diagnosis. In the LMN system, fasciculation potentials (FPs) are the earliest changes observed in affected muscles, a feature of LMN hyperexcitability. Reinnervation is best investigated by needle EMG although other methods can be explored. Moreover needle EMG give information about the temporal profile of the reinnervation process, important ancillary data. Quantitative motor unit potential analysis is a valuable method of evaluating reinnervation. The importance of FPs has been recognized in the Awaji criteria for the electrodiagnosis of ALS, criteria that are a sensitive adjunct to the revised El Escorial criteria. Finally, functionality of LMN's, and perhaps excitability studies in motor nerves, aids understanding of the disease process, allowing measurement of potential treatment effects in clinical trials. Other investigational techniques, such as electrical impedance myography, muscle and nerve ultrasound, and spinal cord imaging methods may prove useful in future.
Copyright © 2016 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Amyotrophic lateral sclerosis; Electromyography; Fasciculation potentials; Lower motor neuron; Motor neuron disease

Mesh:

Year:  2016        PMID: 27117334     DOI: 10.1016/j.clinph.2016.03.024

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


  16 in total

1.  Physiology of the fasciculation potentials in amyotrophic lateral sclerosis: which motor units fasciculate?

Authors:  Mamede de Carvalho; Michael Swash
Journal:  J Physiol Sci       Date:  2016-09-16       Impact factor: 2.781

2.  Peripheral nerve diffusion tensor imaging as a measure of disease progression in ALS.

Authors:  Neil G Simon; Jim Lagopoulos; Sita Paling; Casey Pfluger; Susanna B Park; James Howells; Thomas Gallagher; Michel Kliot; Robert D Henderson; Steve Vucic; Matthew C Kiernan
Journal:  J Neurol       Date:  2017-03-06       Impact factor: 4.849

Review 3.  Dysregulation of IGF-1/GLP-1 signaling in the progression of ALS: potential target activators and influences on neurological dysfunctions.

Authors:  Ambika Shandilya; Sidharth Mehan
Journal:  Neurol Sci       Date:  2021-05-21       Impact factor: 3.307

4.  Rate-dependent depression is impaired in amyotrophic lateral sclerosis.

Authors:  Xiajun Zhou; Ze Wang; Zhi Lin; Ying Zhu; Desheng Zhu; Chong Xie; Nigel A Calcutt; Yangtai Guan
Journal:  Neurol Sci       Date:  2021-09-13       Impact factor: 3.307

Review 5.  Assessment of Motor Units in Neuromuscular Disease.

Authors:  Robert D Henderson; Pamela A McCombe
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

Review 6.  Ultrasound versus electromyography for the detection of fasciculation in amyotrophic lateral sclerosis: systematic review and meta-analysis.

Authors:  Márcio Luís Duarte; Wagner Iared; Acary Souza Bulle Oliveira; Lucas Ribeiro Dos Santos; Maria Stella Peccin
Journal:  Radiol Bras       Date:  2020 Mar-Apr

7.  SPiQE: An automated analytical tool for detecting and characterising fasciculations in amyotrophic lateral sclerosis.

Authors:  J Bashford; A Wickham; R Iniesta; E Drakakis; M Boutelle; K Mills; C Shaw
Journal:  Clin Neurophysiol       Date:  2019-04-19       Impact factor: 3.708

Review 8.  Biomarkers in Motor Neuron Disease: A State of the Art Review.

Authors:  Nick S Verber; Stephanie R Shepheard; Matilde Sassani; Harry E McDonough; Sophie A Moore; James J P Alix; Iain D Wilkinson; Tom M Jenkins; Pamela J Shaw
Journal:  Front Neurol       Date:  2019-04-03       Impact factor: 4.003

9.  Mismatch Negativity as an Indicator of Cognitive Sub-Domain Dysfunction in Amyotrophic Lateral Sclerosis.

Authors:  Parameswaran Mahadeva Iyer; Kieran Mohr; Michael Broderick; Brighid Gavin; Tom Burke; Peter Bede; Marta Pinto-Grau; Niall P Pender; Russell McLaughlin; Alice Vajda; Mark Heverin; Edmund C Lalor; Orla Hardiman; Bahman Nasseroleslami
Journal:  Front Neurol       Date:  2017-08-15       Impact factor: 4.003

10.  Preprocessing surface EMG data removes voluntary muscle activity and enhances SPiQE fasciculation analysis.

Authors:  J Bashford; A Wickham; R Iniesta; E Drakakis; M Boutelle; K Mills; C E Shaw
Journal:  Clin Neurophysiol       Date:  2019-11-04       Impact factor: 3.708

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