Evidence map›Paper›PMID 37707570›Full record

ArticleExperimental brain research2023

A comparison of techniques for verifying the accuracy of precision decomposition-derived relationships between motor unit firing rates and recruitment thresholds from surface EMG signals.

Jonathan P Beausejour, Paul Bohlen, Kylie K Harmon, Ryan M Girts, Jason I Pagan, Debbie L Hahs-Vaughn, Trent J Herda, Matt S Stock

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Article in Experimental brain research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Jonathan P Beausejour *Neuromuscular Plasticity Laboratory, Institute of Exercise Physiology and Rehabilitation Science, University of Central Florida, 4000 Central Florida Blvd, Orlando, FL, 32816-2205, USA.
Paul Bohlen *Neuromuscular Plasticity Laboratory, Institute of Exercise Physiology and Rehabilitation Science, University of Central Florida, 4000 Central Florida Blvd, Orlando, FL, 32816-2205, USA.
Kylie K HarmonDepartment of Exercise Science, Syracuse University, Syracuse, NY, USA.
Ryan M GirtsDepartment of Natural and Health Sciences, Pfeiffer University, Misenheimer, NC, USA.
Jason I PaganNeuromuscular Plasticity Laboratory, Institute of Exercise Physiology and Rehabilitation Science, University of Central Florida, 4000 Central Florida Blvd, Orlando, FL, 32816-2205, USA.
Debbie L Hahs-VaughnCollege of Community Innovation and Education, University of Central Florida, Orlando, FL, USA.
Trent J HerdaNeuromechanics Laboratory, Department of Health, Sport and Exercise Sciences, University of Kansas, Lawrence, USA.
Matt S StockNeuromuscular Plasticity Laboratory, Institute of Exercise Physiology and Rehabilitation Science, University of Central Florida, 4000 Central Florida Blvd, Orlando, FL, 32816-2205, USA. matt.stock@ucf.edu.ORCID http://orcid.org/0000-0003-1156-1084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Approaches for validating motor unit firing times following surface electromyographic (EMG) signal decomposition with the precision decomposition III (PDIII) algorithm have not been agreed upon. Two approaches have been common: (1) "reconstruct-and-test" and (2) spike-triggered averaging (STA). We sought to compare motor unit results following the application of these approaches. Surface EMG signals were recorded from the vastus lateralis of 13 young males performing trapezoidal, isometric knee extensions at 50% and 80% of maximum voluntary contraction (MVC) force. The PDIII algorithm was used to quantify motor unit firing rates. Motor units were excluded using eight combinations of the reconstruct-and-test approach with accuracy thresholds of 0, 90, 91, and 92% with and without STA. The mean firing rate versus recruitment threshold relationship was minimally affected by STA. At 80% MVC, slopes acquired at the 0% accuracy threshold were significantly greater (i.e., less negative) than when 91% (p = .010) and 92% (p = .030) accuracy thresholds were applied. The application of STA has minimal influence on surface EMG signal decomposition results. Stringent reconstruct-and-test accuracy thresholds influence motor unit-derived relationships at high forces, perhaps explained through the increased presence of large motor unit action potentials. Investigators using the PDIII algorithm can expect negligible changes in motor unit-derived linear regression relationships with the application of secondary validation procedures.

Indexed as

Motor NeuronsQuadriceps MuscleAction PotentialsElectromyographyHumansIsometric ContractionMaleMuscle ContractionMuscle, SkeletalRecruitment, NeurophysiologicalDecompositionEMGFiring ratesMotor unitMuscle activationNeuromuscularSurface EMG

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.