Key result
Cross-bridge models with cooperative myofilament activation accurately captured short-range stiffness changes (σSRS ≤ 0.1), whereas Hill-type models failed to capture history-dependent reductions.
Why the study?
Existing musculoskeletal simulations poorly capture muscle short-range stiffness and its history-dependent reduction after shortening, and it remains unclear which cross-bridge model properties are necessary to capture this history dependence.
Absolute Event Rate: 0.104% vs 0.204%
Gaussian-approximated cross-bridge models with cooperative myofilament activation accurately predict muscle short-range stiffness and its history dependence, outperforming traditional Hill-type models.
Does not alter clinical models; leaves open extension of cooperative cross-bridge frameworks to cardiac simulations.
Musculoskeletal simulations can offer valuable insight into how the properties of our musculoskeletal system influence the biomechanics of our daily movements. One such property is muscle’s initial resistance to stretch, also known as short-range stiffness, which is key to stabilizing movements in response to external perturbations. Short-range stiffness is poorly captured by existing musculoskeletal simulations since they employ phenomenological Hill-type models lacking activation-dependent stiffness properties. Existing simulations also do not capture the history-dependent reduction in short-range stiffness after muscle shortening, known as muscle thixotropy. While cross-bridge models can reproduce muscle short-range stiffness, it remains unclear which model properties are necessary to capture its history dependence. Here, we tested the ability of various cross-bridge models to reproduce empirical short-range stiffness and its history-dependent changes across a broad range of behaviorally relevant length changes and activation levels, using an existing dataset on 11 permeabilized rat soleus muscle fibers. We quantified muscle thixotropy using the ratio between the observed short-range stiffnesses after and before shortening. We computed the root-mean-square deviation ( σ S R S ) between the predicted short-range stiffness ratio of various muscle models and the measured stiffness ratio. We found that cross-bridge models captured short-range stiffness changes across conditions with both small and large history-dependent stiffness reductions ( σ S R S ≤ 0.1), but only when including cooperative activation of both thin and thick myofilaments. In contrast, Hill-type models and a cross-bridge model without cooperative myofilament activation underestimated short-range stiffness and did not capture its change across conditions with large history-dependent stiffness reductions ( σ S R S > 0.2). Similar results were obtained when using a Gaussian-approximated solution method to simulate the cross-bridge distribution, but at an approximately eightfold lower computational cost. We therefore propose to implement Gaussian-approximated cross-bridge models with cooperative myofilament activation into musculoskeletal simulations to improve the prediction of short-range stiffness during movements.
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Zee et al. (2026) studied Muscle short-range stiffness (n=11). Cross-bridge models with cooperative myofilament activation vs. Hill-type models was evaluated on Root-mean-square deviation (σSRS) between predicted and measured short-range stiffness ratio. Cross-bridge models with cooperative myofilament activation accurately captured short-range stiffness changes (σSRS ≤ 0.1), whereas Hill-type models failed to capture history-dependent reductions.
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