Optimal fibre length and maximum isometric Force are the most influential parameters when modelling muscular adaptations to unloading using Hill-Type muscle models

James Cowburn, Gil Serrancolí, Steffi Colyer, Dario Cazzola

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: Spaceflight is associated with severe muscular adaptations with substantial inter-individual variability. A Hill-type muscle model is a common method to replicate muscle physiology in musculoskeletal simulations, but little is known about how the underlying parameters should be adjusted to model adaptations to unloading. The aim of this study was to determine how Hill-type muscle model parameters should be adjusted to model disuse muscular adaptations.

Methods: Isokinetic dynamometer data were taken from a bed rest campaign and used to perform tracking simulations at two knee extension angular velocities (30°·s−1 and 180°·s−1). The activation and contraction dynamics were solved using an optimal control approach and direct collocation method. A Monte Carlo sampling technique was used to perturb muscle model parameters within physiological boundaries to create a range of theoretical and feasible parameters to model muscle adaptations.

Results: Optimal fibre length could not be shortened by more than 67% and 61% for the knee flexors and non-knee muscles, respectively.

Discussion: The Hill-type muscle model successfully replicated muscular adaptations due to unloading, and recreated salient features of muscle behaviour associated with spaceflight, such as altered force-length behaviour. Future researchers should carefully adjust the optimal fibre lengths of their muscle-models when trying to model adaptations to unloading, particularly muscles that primarily operate on the ascending and descending limbs of the force-length relationship.
Original languageEnglish
Article number1347089
JournalFrontiers in Physiology
Volume15
Early online date17 Apr 2024
DOIs
Publication statusPublished - 17 Apr 2024

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was carried out under a programme of and funded by the European Space Agency.

FundersFunder number
European Space Agency

    Keywords

    • Monte Carlo
    • bed rest
    • direct collocation
    • muscle disuse
    • optimal control problem

    ASJC Scopus subject areas

    • Physiology (medical)
    • Physiology

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