Literature DB >> 16036422

Neurophysiological measures in amyotrophic lateral sclerosis: markers of progression in clinical trials.

Mamede de Carvalho1, Adriano Chio, Reinhard Dengler, Martin Hecht, Markus Weber, Michael Swash.   

Abstract

In this review we evaluate clinical neurophysiological methods, originally described for use in diagnosis that can be applied to measurement of change during the progress of amyotrophic lateral sclerosis (ALS). Such measurements are potentially important in clinical trials, and also in clinical practice. We have assessed methods for lower and upper motor neuron function, including conventional EMG, nerve conduction and F-wave studies, the derived Neurophysiological Index, motor unit counting methods (MUNE), and transcranial magnetic motor cortex stimulation. We have also addressed the validity of measurements of electromechanical coupling. Methods for measuring muscle strength are beyond the scope of this review. We conclude that MUNE, M-wave amplitude and the Neurophysiological Index are sufficiently reliable, sensitive, and relevant to the clinical problem of ALS, to be used in clinical trials in the disease. Transcranial magnetic stimulation is of limited value, but a combination of the measurements made as part of this technique may also be useful. We conclude that clinical neurophysiological techniques should now be used in measuring change in clinical trials in ALS.

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Year:  2005        PMID: 16036422     DOI: 10.1080/14660820410020600

Source DB:  PubMed          Journal:  Amyotroph Lateral Scler Other Motor Neuron Disord        ISSN: 1466-0822


  10 in total

1.  Suppression of stimulus artifact contaminating electrically evoked electromyography.

Authors:  Jie Liu; Sheng Li; Xiaoyan Li; Cliff Klein; William Z Rymer; Ping Zhou
Journal:  NeuroRehabilitation       Date:  2014       Impact factor: 2.138

Review 2.  The application of biomarkers in clinical trials for motor neuron disease.

Authors:  Jeban Ganesalingam; Robert Bowser
Journal:  Biomark Med       Date:  2010-04       Impact factor: 2.851

3.  Outcome measures in amyotrophic lateral sclerosis clinical trials.

Authors:  Sabrina Paganoni; Merit Cudkowicz; James D Berry
Journal:  Clin Investig (Lond)       Date:  2014

4.  Extrapyramidal deficits in ALS: a combined biomechanical and neuroimaging study.

Authors:  Maryse Feron; Annabelle Couillandre; Eya Mseddi; Nicolas Termoz; Malek Abidi; Eric Bardinet; Daniel Delgadillo; Timothée Lenglet; Giorgia Querin; Marie-Laure Welter; Nadine Le Forestier; François Salachas; Gaelle Bruneteau; Maria Del Mar Amador; Rabab Debs; Lucette Lacomblez; Vincent Meininger; Mélanie Pélégrini-Issac; Peter Bede; Pierre-François Pradat; Giovanni de Marco
Journal:  J Neurol       Date:  2018-07-11       Impact factor: 4.849

5.  Differential motor neuron impairment and axonal regeneration in sporadic and familiar amyotrophic lateral sclerosis with SOD-1 mutations: lessons from neurophysiology.

Authors:  Tommaso Bocci; Chiara Pecori; Elisa Giorli; Lucia Briscese; Silvia Tognazzi; Matteo Caleo; Ferdinando Sartucci
Journal:  Int J Mol Sci       Date:  2011-12-09       Impact factor: 5.923

6.  Comparison between Flail Arm Syndrome and Upper Limb Onset Amyotrophic Lateral Sclerosis: Clinical Features and Electromyographic Findings.

Authors:  Byung-Nam Yoon; Seong Hye Choi; Joung-Ho Rha; Sa-Yoon Kang; Kwang-Woo Lee; Jung-Joon Sung
Journal:  Exp Neurobiol       Date:  2014-09-18       Impact factor: 3.261

7.  Importance of sample size for the estimation of repeater F waves in amyotrophic lateral sclerosis.

Authors:  Jia Fang; Ming-Sheng Liu; Yu-Zhou Guan; Bo Cui; Li-Ying Cui
Journal:  Chin Med J (Engl)       Date:  2015-02-20       Impact factor: 2.628

8.  Survival prediction in Amyotrophic lateral sclerosis based on MRI measures and clinical characteristics.

Authors:  Christina Schuster; Orla Hardiman; Peter Bede
Journal:  BMC Neurol       Date:  2017-04-17       Impact factor: 2.474

9.  Serum phosphorylated neurofilament heavy-chain levels reflect phenotypic heterogeneity and are an independent predictor of survival in motor neuron disease.

Authors:  Yuri Matteo Falzone; Teuta Domi; Federica Agosta; Laura Pozzi; Paride Schito; Raffaella Fazio; Ubaldo Del Carro; Alessandra Barbieri; Mauro Comola; Letizia Leocani; Giancarlo Comi; Paola Carrera; Massimo Filippi; Angelo Quattrini; Nilo Riva
Journal:  J Neurol       Date:  2020-04-18       Impact factor: 4.849

10.  Evaluation of Motor Neuron Excitability by CMAP Scanning with Electric Modulated Current.

Authors:  Tiago Araújo; Rui Candeias; Neuza Nunes; Hugo Gamboa
Journal:  Neurosci J       Date:  2015-08-26
  10 in total

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