Identification of the laterality of motor unit behavior in female patients with Parkinson’s disease using high‐density surface electromyography

2020 ◽  
Author(s):  
Yuichi Nishikawa ◽  
Kohei Watanabe ◽  
Aleš Holobar ◽  
Noriaki Maeda ◽  
Hirofumi Maruyama ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Unit ◽  
Surface Electromyography ◽  
High Density ◽  
Female Patients ◽  
Density Surface

scholarly journals The rise and fall of fasciculations in amyotrophic lateral sclerosis

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
James A Bashford ◽  
Aidan Wickham ◽  
Raquel Iniesta ◽  
Emmanuel M Drakakis ◽  
Martyn G Boutelle ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Motor Unit ◽  
Surface Electromyography ◽  
Rating Scale ◽  
Muscle Power ◽  
Pooled Analysis ◽  
High Density ◽  
Mixed Effect ◽  
Density Surface ◽  
Lateral Sclerosis

Abstract Amyotrophic lateral sclerosis is a devastating neurodegenerative disease with a median survival of 3 years from symptom onset. Accessible and reliable biomarkers of motor neuron decline are urgently needed to quicken the pace of drug discovery. Fasciculations represent an early pathophysiological hallmark of amyotrophic lateral sclerosis and can be reliably detected by high-density surface electromyography. We set out to quantify fasciculation potentials prospectively over 14 months, seeking comparisons with established markers of disease progression. Twenty patients with amyotrophic lateral sclerosis and five patients with benign fasciculation syndrome underwent up to seven assessments each. At each assessment, we performed the amyotrophic lateral sclerosis-functional rating scale, sum power score, slow vital capacity, 30-min high-density surface electromyography recordings from biceps and gastrocnemius and the motor unit number index. We employed the Surface Potential Quantification Engine, which is an automated analytical tool to detect and characterize fasciculations. Linear mixed-effect models were employed to account for the pseudoreplication of serial measurements. The amyotrophic lateral sclerosis-functional rating scale declined by 0.65 points per month (P < 0.0001), 35% slower than average. A total of 526 recordings were analysed. Compared with benign fasciculation syndrome, biceps fasciculation frequency in amyotrophic lateral sclerosis was 10 times greater in strong muscles and 40 times greater in weak muscles. This was coupled with a decline in fasciculation frequency among weak muscles of –7.6/min per month (P = 0.003), demonstrating the rise and fall of fasciculation frequency in biceps muscles. Gastrocnemius behaved differently, whereby strong muscles in amyotrophic lateral sclerosis had fasciculation frequencies five times greater than patients with benign fasciculation syndrome while weak muscles were increased by only 1.5 times. Gastrocnemius demonstrated a significant decline in fasciculation frequency in strong muscles (−2.4/min per month, P < 0.0001), which levelled off in weak muscles. Fasciculation amplitude, an easily quantifiable surrogate of the reinnervation process, was highest in the biceps muscles that transitioned from strong to weak during the study. Pooled analysis of >900 000 fasciculations revealed inter-fasciculation intervals <100 ms in the biceps of patients with amyotrophic lateral sclerosis, particularly in strong muscles, consistent with the occurrence of doublets. We hereby present the most comprehensive longitudinal quantification of fasciculation parameters in amyotrophic lateral sclerosis, proposing a unifying model of the interactions between motor unit loss, muscle power and fasciculation frequency. The latter showed promise as a disease biomarker with linear rates of decline in strong gastrocnemius and weak biceps muscles, reflecting the motor unit loss that drives clinical progression.

Motor unit number estimation using high-density surface electromyography

2008 ◽  
Vol 119 (1) ◽  
pp. 33-42 ◽  
Author(s):  
Johannes P. van Dijk ◽  
Joleen H. Blok ◽  
Bernd G. Lapatki ◽  
Ivo N. van Schaik ◽  
Machiel J. Zwarts ◽  
...  
Keyword(s):  
Motor Unit ◽  
Surface Electromyography ◽  
High Density ◽  
Motor Unit Number Estimation ◽  
Density Surface

scholarly journals Motor unit number estimation based on high-density surface electromyography decomposition

2016 ◽  
Vol 127 (9) ◽  
pp. 3059-3065 ◽  
Author(s):  
Yun Peng ◽  
Jinbao He ◽  
Bo Yao ◽  
Sheng Li ◽  
Ping Zhou ◽  
...  
Keyword(s):  
Motor Unit ◽  
Surface Electromyography ◽  
High Density ◽  
Motor Unit Number Estimation ◽  
Density Surface

High-density surface electromyography provides reliable estimates of motor unit behavior

2016 ◽  
Vol 127 (6) ◽  
pp. 2534-2541 ◽  
Author(s):  
E. Martinez-Valdes ◽  
C.M. Laine ◽  
D. Falla ◽  
F. Mayer ◽  
D. Farina
Keyword(s):  
Motor Unit ◽  
Surface Electromyography ◽  
High Density ◽  
Density Surface

scholarly journals Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators

2021 ◽  
Author(s):  
François Hug ◽  
Simon Avrillon ◽  
Alessandro Del Vecchio ◽  
Andrea Casolo ◽  
Jaime Ibanez ◽  
...  
Keyword(s):  
Motor Unit ◽  
Surface Electromyography ◽  
Neural Control ◽  
Discharge Rate ◽  
Intraclass Correlation ◽  
Motor Units ◽  
Spike Trains ◽  
High Density ◽  
Density Surface ◽  
Unit Spike

AbstractThere is a growing interest in decomposing high-density surface electromyography (HDsEMG) into motor unit spike trains to improve knowledge on the neural control of muscle contraction. However, the reliability of decomposition approaches is sometimes questioned, especially because they require manual editing of the outputs. We aimed to assess the inter-operator reliability of the identification of motor unit spike trains. Eight operators with varying experience in HDsEMG decomposition were provided with the same data extracted using the convolutive kernel compensation method. They were asked to manually edit them following established procedures. Data included signals from three lower leg muscles and different contraction intensities. After manual analysis, 126 ± 5 motor units were retained (range across operators: 119-134). A total of 3380 rate of agreement values were calculated (28 pairwise comparisons × 11 contractions/muscles × 4-28 motor units). The median rate of agreement value was 99.6%. Inter-operator reliability was excellent for both mean discharge rate and time at recruitment (intraclass correlation coefficient > 0.99). These results show that when provided with the same decomposed data and the same basic instructions, operators converge toward almost identical results. Our data have been made available so that they can be used for training new operators.

An ePIC Assessment of Quadriceps Motor Unit Firing Patterns During Isometric Knee Extension: A High Density Surface Electromyography Study

2020 ◽  
Vol 34 (S1) ◽  
pp. 1-1
Author(s):  
Gregory E. Pearcey ◽  
Obaid Ul Haq Khurram ◽  
Edward H. Kim ◽  
Sai Voora ◽  
Christopher K. Thompson ◽  
...  
Keyword(s):  
Motor Unit ◽  
Surface Electromyography ◽  
Knee Extension ◽  
High Density ◽  
Firing Patterns ◽  
Motor Unit Firing ◽  
Isometric Knee Extension ◽  
Density Surface

Corrigendum to “Motor unit number estimation using high-density surface electromyography” Clin Neurophysiol 119 (2008) 33–42

2008 ◽  
Vol 119 (10) ◽  
pp. 2416
Author(s):  
Johannes P. van Dijk ◽  
Joleen H. Blok ◽  
Bernd G. Lapatki ◽  
Ivo N. van Schaik ◽  
Machiel J. Zwarts ◽  
...  
Keyword(s):  
Motor Unit ◽  
Surface Electromyography ◽  
High Density ◽  
Motor Unit Number Estimation ◽  
Density Surface

scholarly journals Analysis of motor unit spike trains estimated from high-density surface electromyography is highly reliable across operators

2021 ◽  
pp. 102548
Author(s):  
François Hug ◽  
Simon Avrillon ◽  
Alessandro Del Vecchio ◽  
Andrea Casolo ◽  
Jaime Ibanez ◽  
...  
Keyword(s):  
Motor Unit ◽  
Surface Electromyography ◽  
Spike Trains ◽  
High Density ◽  
Density Surface ◽  
Unit Spike
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