Literature DB >> 17545837

Fasciculation potentials in high-density surface EMG.

Gea Drost1, Bert U Kleine, Dick F Stegeman, Baziel G M van Engelen, Machiel J Zwarts.   

Abstract

Fasciculation potentials (FPs) are observed in healthy individuals, but also in patients with neurogenic disorders. The exact site of origin and the clinical relevance in distinguishing, for example, amyotrophic lateral sclerosis (ALS) from other neurogenic diseases based on specific characteristics of the FPs is still a matter of debate and needs further exploration. This report describes the use of high-density surface EMG (HD-sEMG), with multiple electrodes in a compact grid to noninvasively record FPs. The technique provides both temporal and spatial information of fasciculations. Examples of the FPs of a patient diagnosed with definite ALS are presented. FPs are shown in different electrode montages and the unique spatial characteristics of different FPs are presented. During 30-second recordings, 137 FPs were detected that via a decomposition algorithm could be assigned to 11 different underlying sources. It is concluded that HD-sEMG, both because of its noninvasive character and the unique spatiotemporal information, is very suitable to examine fasciculations. It allows long stable recording times and provides quantitative information. This electrophysiologic tool is expected to expand the existing knowledge of FP properties.

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Year:  2007        PMID: 17545837     DOI: 10.1097/WNP.0b013e31803bba04

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  16 in total

Review 1.  Positive muscle phenomena--diagnosis, pathogenesis and associated disorders.

Authors:  Hans G Kortman; Jan H Veldink; Gea Drost
Journal:  Nat Rev Neurol       Date:  2012-01-24       Impact factor: 42.937

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.  Analysis of surface EMG baseline for detection of hidden muscle activity.

Authors:  Xu Zhang; Ping Zhou
Journal:  J Neural Eng       Date:  2014-01-20       Impact factor: 5.379

4.  Sensitivity of fasciculation potential detection is dramatically reduced by spatial filtering of surface electromyography.

Authors:  Faezeh Jahanmiri-Nezhad; Paul E Barkhaus; William Z Rymer; Ping Zhou
Journal:  Clin Neurophysiol       Date:  2013-12-10       Impact factor: 3.708

5.  Spike sorting paradigm for classification of multi-channel recorded fasciculation potentials.

Authors:  Faezeh Jahanmiri-Nezhad; Paul E Barkhaus; William Zev Rymer; Ping Zhou
Journal:  Comput Biol Med       Date:  2014-10-05       Impact factor: 4.589

6.  Automatic classification of motor unit potentials in surface EMG recorded from thenar muscles paralyzed by spinal cord injury.

Authors:  Jeffrey Winslow; Marine Dididze; Christine K Thomas
Journal:  J Neurosci Methods       Date:  2009-09-15       Impact factor: 2.390

7.  Innervation zones of fasciculating motor units: observations by a linear electrode array.

Authors:  Faezeh Jahanmiri-Nezhad; Paul E Barkhaus; William Z Rymer; Ping Zhou
Journal:  Front Hum Neurosci       Date:  2015-05-12       Impact factor: 3.169

8.  A novel system of electrodes transparent to ultrasound for simultaneous detection of myoelectric activity and B-mode ultrasound images of skeletal muscles.

Authors:  A Botter; T M M Vieira; I D Loram; R Merletti; E F Hodson-Tole
Journal:  J Appl Physiol (1985)       Date:  2013-08-01

9.  A practice of caution: spontaneous action potentials or artifactual spikes?

Authors:  Faezeh Jahanmiri-Nezhad; Xiaoyan Li; William Zev Rymer; Ping Zhou
Journal:  J Neuroeng Rehabil       Date:  2015-01-13       Impact factor: 4.262

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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