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Relative contribution of altered neuromuscular factors to muscle activation-force relationships following chronic stroke: A simulation study
Affiliation:1. Department of Biomedical Engineering, Newark College of Engineering, New Jersey Institute of Technology, Newark, NJ, United States;2. Shirley Ryan AbilityLab (formerly the Rehabilitation Institute of Chicago), Chicago, IL, United States;3. Department of Physical Medicine and Rehabilitation, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States;1. Division of Applied Mechanics, Department of Mechanical Engineering, Polytechnique Montréal, Canada;2. Department of Physical Activity Sciences, University of Sherbrooke, Canada;3. Institut de recherche Robert Sauvé en santé et en sécurité du travail, Montréal, Canada;4. Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran;5. Center for Interdisciplinary Research in Rehabilitation of Greater Montreal (CRIR), Institut universitaire sur la réadaptation en déficience physique de Montréal (IURDPM), Centre intégré universitaire de santé et de services sociaux du Centre-Sud-de-l’Ile-de-Montréal (CCSMTL), Canada;1. Department of Physical Medicine and Rehabilitation, Bezmialem Vakıf University, İstanbul, Turkey;2. Department of Biostatistics and Medical Informatics, Bezmialem Vakıf University, İstanbul, Turkey;1. Department of Sports Medicine and Performance Physiology, Goethe University Frankfurt, Frankfurt, Germany;2. Department of Strength Power and Technical Sports, Institute for Applied Training Science, Leipzig, Germany;3. Department of Engineering and Industrial Design, Magdeburg-Stendal University of Applied Sciences, Magdeburg, Germany;4. Department of Biomechanics, Institute for Applied Training Science, Leipzig, Germany;5. Centre for Human Performance, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia;1. Laboratory of Neuromuscular Biomechanics, School of Health and Sport Science, Chukyo University, 101 Tokodachi, Kaizu-cho, Toyota, Aichi 470-0393, Japan;2. Research Fellow of Japan Society for the Promotion of Science, Kojimachi, Chiyoda-ku, Tokyo 102-0083, Japan;3. Center for General Education, Aichi Institute of Technology, 1247 Yachigusa, Yakusa-cho, Toyota-shi, Aichi 470-0392, Japan;4. Faculty of Education and Integrated Arts and Sciences, Waseda University, 1-6-1, Nishiwaseda, Shinjuku-ku, Tokyo 169-8050, Japan;5. Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, SI-2000 Maribor, Slovenia;1. Laboratory for Paediatric Motion Analysis and Biofeedback Rehabilitation, ALYN Paediatric and Adolescent Rehabilitation Research Centre (ALYN PARC), Jerusalem, Israel;2. Department of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;3. Department of Rehabilitation Medicine, Amsterdam UMC, Amsterdam, Netherlands;4. Clinical Motion Analysis Laboratory, ALYN Paediatric and Adolescent Rehabilitation Centre, Jerusalem, Israel
Abstract:The purpose of this study was to investigate the potential effects of key neuromuscular factors on muscle activation-force relationships, thereby helping us understand abnormal EMG-force relationships often reported in chronic stroke-impaired muscles. A modified Hill-type muscle model was developed to calculate muscle force production for a given muscle activation level and musculotendon length. Model parameters used to characterize musculotendon unit properties of medial gastrocnemius were adjusted to simulate known stroke-related changes in neuromuscular factors (e.g., voluntary activation and muscle mechanical properties). The muscle activation-force slope (i.e., muscle activation over force) was computed as a function of ankle joint angle. A Monte Carlo simulation approach was implemented to understand which neuromuscular factors are closely associated with the activation-force slope. Our simulations showed that a reduction in factors linked to voluntary activation capacity and to maximum force-generating capacity may be the primary contributors that increase the activation-force slope in dorsiflexed positions, and that a narrower active force–length curve appears to be the most significant factor that increases the slope in plantar flexed positions. In addition, our Monte Carlo simulation results demonstrated that an increase in the activation-force slope is strongly correlated with a reduction in voluntary activation capacity, in the maximum force-generating capacity, and in the active force–length curve width. These findings will help us to better interpret altered EMG-force relationships following chronic stroke.
Keywords:EMG-force relationship  Neuromuscular factor  Stroke  Muscle weakness  Muscular contraction efficiency
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