AI Article Synopsis
- The study develops a new, efficient particle model to simulate pair-annihilation events of spiral wave tips in cardiac models, which are usually studied through complex simulations.
- Spiral wave tips are modeled as particles influenced by diffusion and short-range attraction, with parameters derived from their actual behavior in cardiac systems during chaotic states.
- The particle model effectively replicates the annihilation rates and can predict the average time until spiral wave termination, revealing that enhancing attraction between particles could be a potential focus for drug development.
Article Abstract
Pair-annihilation events are ubiquitous in a variety of spatially extended systems and are often studied using computationally expensive simulations. Here, we develop an approach in which we simulate the pair-annihilation of spiral wave tips in cardiac models using a computationally efficient particle model. Spiral wave tips are represented as particles with dynamics governed by diffusive behavior and short-ranged attraction. The parameters for diffusion and attraction are obtained by comparing particle motion to the trajectories of spiral wave tips in cardiac models during spiral defect chaos. The particle model reproduces the annihilation rates of the cardiac models and can determine the statistics of spiral wave dynamics, including its mean termination time. We show that increasing the attraction coefficient sharply decreases the mean termination time, making it a possible target for pharmaceutical intervention.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11141445 | PMC |
| http://dx.doi.org/10.1063/5.0203319 | DOI Listing |
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