Literature DB >> 25389239

Examination of Poststroke Alteration in Motor Unit Firing Behavior Using High-Density Surface EMG Decomposition.

Xiaoyan Li, Ales Holobar, Marco Gazzoni, Roberto Merletti, William Zev Rymer, Ping Zhou.   

Abstract

Recent advances in high-density surface electromyogram (EMG) decomposition have made it a feasible task to discriminate single motor unit activity from surface EMG interference patterns, thus providing a noninvasive approach for examination of motor unit control properties. In the current study, we applied high-density surface EMG recording and decomposition techniques to assess motor unit firing behavior alterations poststroke. Surface EMG signals were collected using a 64-channel 2-D electrode array from the paretic and contralateral first dorsal interosseous (FDI) muscles of nine hemiparetic stroke subjects at different isometric discrete contraction levels between 2 to 10 N with a 2 N increment step. Motor unit firing rates were extracted through decomposition of the high-density surface EMG signals and compared between paretic and contralateral muscles. Across the nine tested subjects, paretic FDI muscles showed decreased motor unit firing rates compared with contralateral muscles at different contraction levels. Regression analysis indicated a linear relation between the mean motor unit firing rate and the muscle contraction level for both paretic and contralateral muscles (p < 0.001), with the former demonstrating a lower increment rate (0.32 pulses per second (pps)/N) compared with the latter (0.67 pps/N). The coefficient of variation (averaged over the contraction levels) of the motor unit firing rates for the paretic muscles (0.21 ± 0.012) was significantly higher than for the contralateral muscles (0.17 ± 0.014) (p < 0.05). This study provides direct evidence of motor unit firing behavior alterations poststroke using surface EMG, which can be an important factor contributing to hemiparetic muscle weakness.

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Year:  2014        PMID: 25389239      PMCID: PMC4406795          DOI: 10.1109/TBME.2014.2368514

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  63 in total

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Journal:  Clin Neurophysiol       Date:  2009-06-28       Impact factor: 3.708

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Journal:  J Neurol Sci       Date:  1982-06       Impact factor: 3.181

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  25 in total

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Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015

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Journal:  J Neural Eng       Date:  2016-07-19       Impact factor: 5.379

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4.  Neural control properties of the external anal sphincter in young and elderly women.

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5.  Application of the F-Response for Estimating Motor Unit Number and Amplitude Distribution in Hand Muscles of Stroke Survivors.

Authors:  Xiaoyan Li; Morris Fisher; William Zev Rymer; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-07-08       Impact factor: 3.802

6.  Electrical Impedance Myography for Evaluating Paretic Muscle Changes After Stroke.

Authors:  Xiaoyan Li; Le Li; Henry Shin; Sheng Li; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2017-05-26       Impact factor: 3.802

7.  Distinct Patterns of Fiber Type Adaptation in Rat Hindlimb Muscles 4 Weeks After Hemorrhagic Stroke.

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8.  Functional mapping of the pelvic floor and sphincter muscles from high-density surface EMG recordings.

Authors:  Yun Peng; Jinbao He; Rose Khavari; Timothy B Boone; Yingchun Zhang
Journal:  Int Urogynecol J       Date:  2016-05-18       Impact factor: 2.894

9.  A Novel Interpretation of Sample Entropy in Surface Electromyographic Examination of Complex Neuromuscular Alternations in Subacute and Chronic Stroke.

Authors:  Xiao Tang; Xu Zhang; Xiaoping Gao; Xiang Chen; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-08-08       Impact factor: 3.802

10.  Recruitment gain of spinal motor neuron pools in cat and human.

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Journal:  Exp Brain Res       Date:  2019-09-06       Impact factor: 1.972

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