title: Modifying motor unit territory placement in the Fuglevand model.
abstract: The Fuglevand model is often used to address challenging questions in neurophysiology; however, there are elements of the neuromuscular system unaccounted for in the model. For instance, in some muscles, slow and fast motor units (MUs) tend to reside deep and superficially in the muscle, respectively, necessarily altering the development of surface electromyogram (EMG) power during activation. Thus, the objective of this study was to replace the randomized MU territory (MUT) placement algorithm in the Fuglevand model with an optimized method capable of reflecting these observations. To accomplish this, a weighting term was added to a previously developed optimization algorithm to encourage regionalized MUT placement. The weighting term consequently produced significantly different muscle fibre type content in the deep and superficial portions of the muscle. The relation between simulated EMG and muscle force was found to be significantly affected by regionalization. These changes were specifically a function of EMG power, as force was unaffected by regionalization. These findings suggest that parameterizing MUT regionalization will allow the model to produce a larger variety of EMG-force relations, as is observed physiologically, and could potentially simulate the loss of specific MU types as observed in ageing and clinical populations.
authors.affiliation: Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada. jason.robertson@unb.ca.|Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada. jason.robertson@unb.ca.|Institute of Biomedical Engineering, University of New Brunswick, 25 Dineen Dr., Fredericton, NB, E3B 5A3, Canada. jason.robertson@unb.ca.
authors.forename: Jason W
authors.identifier: http://orcid.org/0000-0003-0579-0403
authors.initials: JW
authors.lastname: Robertson
authors.affiliation: Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada.|Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada.
authors.forename: Jamie A
authors.initials: JA
authors.lastname: Johnston
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004576:Electromyography / Q000379:methods; D006801:Humans; D009046:Motor Neurons / Q000502:physiology*; D009119:Muscle Contraction / Q000502:physiology; D018485:Muscle Fibers, Skeletal / Q000502:physiology*
keywords: Electromyography (EMG); Motor units; Neuromuscular modelling; Simulation