Estimation of the force-velocity properties of individual muscles from measurement of the combined plantarflexor properties

Author:

Javidi Mehrdad1ORCID,McGowan Craig P.234ORCID,Lin David C.145ORCID

Affiliation:

1. Voiland School of Chemical Engineering and Bioengineering, Washington State University, PO Box 646515, Pullman, WA 99164, USA

2. Department of Biological Sciences, University of Idaho, 875 Perimeter Drive, MS 3051, Moscow, ID 83844, USA

3. WWAMI Medical Education Program, University of Idaho, 875 Perimeter Drive, MS 4207, Moscow, ID 83844, USA

4. Washington Center for Muscle Biology, Washington State University, PO Box 646515, Pullman, WA 99164, USA

5. Department of Integrative Physiology and Neuroscience, Washington State University, PO Box 647620, Pullman, WA 99164, USA

Abstract

The force-velocity (F-V) properties of isolated muscles or muscle fibers have been well studied in humans and other animals. However, determining properties of individual muscles in vivo remains a challenge because muscles usually function within a synergistic group. Modeling has been used to estimate the properties of an individual muscle from the experimental measurement of the muscle group properties. While this approach can be valuable, the models and the associated predictions are difficult to validate. In this study, we measured the in situ F-V properties of the maximally activated kangaroo rat plantarflexor group and used two different assumptions and associated models to estimate the properties of the individual plantarflexors. The first model (Mdl1) assumed that the percent contributions of individual muscles to group force and power were based upon the muscles’ cross-sectional areas and were constant across the different isotonic loads applied to the muscle group. The second model (Mdl2) assumed that the F-V properties of the fibers within each muscle were identical, but due to differences in muscle architecture, the muscles’ contributions to the group properties changed with isotonic load. We compared the two model predictions to independent estimates of the muscles’ contributions based upon sonomicrometry (SONO) measurements of muscle lengths. We found that predictions from Mdl2 were not significantly different from SONO based estimates while those from Mdl1 were significantly different. The results of this study show that incorporating appropriate fiber properties and muscle architecture is necessary to parse the individual muscles’ contributions to the group F-V properties.

Funder

Army Research Office

National Science Foundation

Publisher

The Company of Biologists

Subject

Insect Science,Molecular Biology,Animal Science and Zoology,Aquatic Science,Physiology,Ecology, Evolution, Behavior and Systematics

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