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Viscoelastic Fitzhugh-Nagumo models.
D Bini1, C Cherubini, S Filippi
1Istituto per le Applicazioni del Calcolo M. Picone, CNR, I-00161 Rome, Italy.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 31, 2005
Summary
This study introduces a viscoelastic Fitzhugh-Nagumo model to simulate cardiac fiber dynamics. The model captures contraction and relaxation, showing elastic effects are significant even with minor action potential changes during electrical stimulation.
Area of Science:
- Computational Biology
- Biophysics
- Mathematical Modeling
Background:
- The Fitzhugh-Nagumo model is a simplified mathematical representation of neuron action potentials.
- Cardiac electrophysiology involves complex interactions between electrical activity and mechanical properties.
- Understanding the interplay of electrical signals and viscoelasticity is crucial for cardiac modeling.
Purpose of the Study:
- To develop and analyze an extended Fitzhugh-Nagumo model incorporating linear viscoelasticity.
- To investigate the behavior of cardiac fibers under different stimulation conditions.
- To explore the impact of viscoelasticity on action potential propagation and fiber dynamics.
Main Methods:
- Derivation of a generalized Fitzhugh-Nagumo model with linear viscoelasticity.
- Numerical integration of the model equations in one dimension.
- Simulation of a free insulated fiber with an initial action potential.
- Simulation of a clamped fiber under counter-phased electrical stimulation.
Main Results:
- The model qualitatively replicates the physiological contraction and relaxation of cardiac fibers.
- Elastic backreaction significantly influences the system's dynamics.
- Action potential modifications are minimal even under strong electrical stimulation.
Conclusions:
- The extended Fitzhugh-Nagumo model with viscoelasticity provides a valuable framework for studying cardiac electro-mechanical coupling.
- Viscoelastic properties play a crucial role in cardiac fiber behavior, distinct from electrical signal propagation.
- The model's findings align with observed physiological responses in biological samples.