Literature DB >> 9486862

Fasciculation potentials: a study of amyotrophic lateral sclerosis and other neurogenic disorders.

M de Carvalho1, M Swash.   

Abstract

We studied fasciculation potentials in amyotrophic lateral sclerosis (ALS), and in other neurogenic disorders, in strength and single-fiber electromyography-matched muscles. Benign fasciculations were studied in 3 normal subjects. Fasciculations were more stable and easier to recruit voluntarily in the early phase of ALS; later, fasciculations were more unstable, more complex, and less likely to be voluntarily recruited. Stable fasciculations, representing part of large, reinnervated motor units, and probably arising from distal axonal sprouts, usually had a higher firing rate than more complex and unstable fasciculations. In weak muscles in ALS, fasciculations were generally more unstable than in other neurogenic disorders. In normal-strength muscles fasciculations are less complex in ALS than in other disorders. Benign fasciculations have a high firing rate and normal morphologic parameters. In ALS fasciculations arise proximally early in the disease and distally in the later stages. Fasciculation may be important in excitotoxic cell death in ALS.

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Year:  1998        PMID: 9486862     DOI: 10.1002/(sici)1097-4598(199803)21:3<336::aid-mus7>3.0.co;2-b

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


  13 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.  A clinically applicable approach for detecting spontaneous action potential spikes in amyotrophic lateral sclerosis with a linear electrode array.

Authors:  Faezeh Jahanmiri-Nezhad; Xiaoyan Li; Paul E Barkhaus; William Z Rymer; Ping Zhou
Journal:  J Clin Neurophysiol       Date:  2014-02       Impact factor: 2.177

3.  Fasciculation score: a sensitive biomarker in amyotrophic lateral sclerosis.

Authors:  Jing Ma; Qi Wen; Xiaomin Pang; Shan Huang; Jing Zhang; Juan Wang; Xueli Chang; Junhong Guo; Wei Zhang
Journal:  Neurol Sci       Date:  2021-03-11       Impact factor: 3.307

4.  Quantitative Assessment of Traumatic Upper-Limb Peripheral Nerve Injuries Using Surface Electromyography.

Authors:  Weidi Tang; Xu Zhang; Yong Sun; Bo Yao; Xiang Chen; Xun Chen; Xiaoping Gao
Journal:  Front Bioeng Biotechnol       Date:  2020-07-17

Review 5.  Electrodiagnosis in persons with amyotrophic lateral sclerosis.

Authors:  Nanette C Joyce; Gregory T Carter
Journal:  PM R       Date:  2013-03-21       Impact factor: 2.298

6.  A computational model of motor neuron degeneration.

Authors:  Gwendal Le Masson; Serge Przedborski; L F Abbott
Journal:  Neuron       Date:  2014-07-31       Impact factor: 17.173

7.  Quantitative analysis of the features of fasciculation potentials and their relation with muscle strength in amyotrophic lateral sclerosis.

Authors:  Kota Bokuda; Toshio Shimizu; Hideki Kimura; Toshihiro Yamazaki; Tsutomu Kamiyama; Kazuhiko Watabe; Akihiro Kawata; Masaharu Hayashi; Eiji Isozaki
Journal:  Neurol Sci       Date:  2016-08-19       Impact factor: 3.307

8.  Motor unit firing pattern: evidence for motoneuronal or axonal discharge origin?

Authors:  Lydia P Kudina; Regina E Andreeva
Journal:  Neurol Sci       Date:  2015-08-04       Impact factor: 3.307

9.  Associations of Patient Mood, Modulators of Quality of Life, and Pharmaceuticals with Amyotrophic Lateral Sclerosis Survival Duration.

Authors:  Leila Bond; Gloria Bowen; Benjamin Mertens; Keelie Denson; Kathleen Jordan; Branislav Vidakovic; Cassie S Mitchell
Journal:  Behav Sci (Basel)       Date:  2020-01-10

10.  Duration of observation required in detecting fasciculation potentials in amyotrophic lateral sclerosis using high-density surface EMG.

Authors:  Ping Zhou; Xiaoyan Li; Faezeh Jahanmiri-Nezhad; William Zev Rymer; Paul E Barkhaus
Journal:  J Neuroeng Rehabil       Date:  2012-10-10       Impact factor: 4.262

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