Literature DB >> 14571468

Clinical and neurophysiological evaluation of progression in amyotrophic lateral sclerosis.

Mamede de Carvalho1, Manuel Scotto, Arminda Lopes, Michael Swash.   

Abstract

There is a need for a sensitive neurophysiological measure of disease progression in following the course of patients with amyotrophic lateral sclerosis (ALS). We studied two groups of nine ALS patients, one with slow progression (Group A) and the other with rapid progression (Group B). We evaluated muscle strength scores using the Medical Research Council (MRC) scale in limb and trunk muscles, forced vital capacity (FVC), and ALS functional rating scale (ALS-FRS) scores. Maximal voluntary isometric contraction (MVIC) of the abductor digiti minimi muscle (ADM) was measured, using a digital device. We also measured M-wave amplitude and area in the ADM, and the distal motor latency and F-wave frequency in the ulnar nerve; from these data, the neurophysiological index (NI) was calculated, as described previously. In both groups, the NI was the most sensitive measure of change, with the smallest coefficient of variation. We conclude that the NI, which requires no special technology and no new clinical or technical skills to use, is sensitive to change, and therefore may be useful in clinical trials, as well as in a clinical setting.

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Year:  2003        PMID: 14571468     DOI: 10.1002/mus.10469

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  7 in total

1.  Prediction of prognosis of ALS: Importance of active denervation findings of the cervical-upper limb area and trunk area.

Authors:  Yoko Sato; Eiji Nakatani; Yasuhiro Watanabe; Masanori Fukushima; Kenji Nakashima; Mari Kannagi; Yasuhiro Kanatani; Hiroshi Mizushima
Journal:  Intractable Rare Dis Res       Date:  2015-11

2.  Cognitive functions and white matter tract damage in amyotrophic lateral sclerosis: a diffusion tensor tractography study.

Authors:  L Sarro; F Agosta; E Canu; N Riva; A Prelle; M Copetti; G Riccitelli; G Comi; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2011-10-20       Impact factor: 3.825

3.  The topography of brain microstructural damage in amyotrophic lateral sclerosis assessed using diffusion tensor MR imaging.

Authors:  E Canu; F Agosta; N Riva; S Sala; A Prelle; D Caputo; M Perini; G Comi; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2011-06-16       Impact factor: 3.825

4.  Outcome measures in amyotrophic lateral sclerosis clinical trials.

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

5.  Comparison of psychosocial factors between patients with benign fasciculations and those with amyotrophic lateral sclerosis.

Authors:  Sandeep S Rana; Carol J Schramke; Amandeep Sangha; Aryn C Karpinski
Journal:  Ann Indian Acad Neurol       Date:  2009-04       Impact factor: 1.383

6.  Patterns of spontaneous brain activity in amyotrophic lateral sclerosis: a resting-state FMRI study.

Authors:  Chunyan Luo; Qin Chen; Rui Huang; Xueping Chen; Ke Chen; Xiaoqi Huang; HeHan Tang; Qiyong Gong; Hui-Fang Shang
Journal:  PLoS One       Date:  2012-09-20       Impact factor: 3.240

7.  Different Frontal Involvement in ALS and PLS Revealed by Stroop Event-Related Potentials and Reaction Times.

Authors:  Ninfa Amato; Nilo Riva; Marco Cursi; Ana Martins-Silva; Vittorio Martinelli; Mauro Comola; Raffaella Fazio; Giancarlo Comi; Letizia Leocani
Journal:  Front Aging Neurosci       Date:  2013-12-12       Impact factor: 5.750

  7 in total

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