Mechano-electric feedback in cardiomyocytes extends spatial correlation length by an order of magnitude (from ~1.2 to >20 cell spacings), enabling near system-wide synchronization.
Numerical simulations on a 1D chain of cardiomyocytes (computational model)
State-dependent network model incorporating mechano-electric feedback
Standard dipole models (without feedback)
Spatial correlation length of mechanical synchronization
A computational model demonstrates that mechano-electric feedback enables long-range mechanical synchronization of cardiomyocytes, offering insights into cardiac tissue engineering and arrhythmogenesis.
Long-range synchronization of cardiomyocytes via purely elastic substrates is limited by the 1/r³ decay of mechanical interactions. Standard dipole models therefore predict only short-range phase coherence, leaving tissue-scale coordination unexplained. In this work, I introduce a state-dependent network model in which local phase coherence enhances contractile force through mechano-electric feedback. Numerical simulations on a 1D chain show that this feedback extends the spatial correlation length by about an order of magnitude (from ξ ≈ 1. 2 to ξ ≳ 20 cell spacings), enabling near system-wide synchronization within the simulated system sizes. I further identify a transition boundary in the stiffness-feedback plane and show that cellular alignment reduces the critical feedback strength by a factor of two to three. These results provide a mechanical basis for the roles of substrate compliance and orientational order in cardiac tissue engineering, and suggest a possible physical pathway for arrhythmogenesis in fibrotic tissue.
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Hiroyuki Morimura
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Hiroyuki Morimura (Thu,) reported a other. Mechano-electric feedback in cardiomyocytes extends spatial correlation length by an order of magnitude (from ~1.2 to >20 cell spacings), enabling near system-wide synchronization.
www.synapsesocial.com/papers/69ec5b6088ba6daa22dacf97 — DOI: https://doi.org/10.5281/zenodo.19703183