Key result
TWIST analysis identifies novel dispersion branches and slow-wave families in complex cardiac models.
Why the study?
It remains unclear whether additional physiological detail in cardiac tissue models introduces qualitatively new traveling wave behaviors beyond those captured by minimal models.
Using the novel TWIST computational framework, this study demonstrates that biophysically detailed cardiac models exhibit complex dispersion structures and slow-wave branches absent in minimal models, helping distinguish robust propagation features from ionic-specific dynamics.
Detailed cardiac models uncover slow-wave branches missed by minimal approximations; leaves open their relevance to clinical arrhythmia dynamics.
Models of cardiac tissue span a wide range of complexity, from minimal models to biophysically detailed models. It is often assumed that minimal models accurately capture the core behaviors of propagating action potentials in biophysically detailed models. However, it remains unclear whether additional physiological detail introduces qualitatively new behaviors. Dispersion relations quantify the existence, stability, and bifurcations of traveling waves, but their computation for biophysically detailed models has been limited by system complexity and computational cost. To overcome these challenges, we develop Traveling Wave Investigation Software Tool (TWIST), a numerical framework for the systematic computation of traveling wave solutions and their spectra. Using TWIST, we compute and compare dispersion relations in the FitzHugh-Nagumo, Beeler-Reuter, and nine-variable ten Tusscher-Panfilov models. Our analysis shows that increasing physiological detail can introduce substantial additional structure in dispersion relations. In particular, the interaction of multiple activation processes in the ten Tusscher-Panfilov model gives rise to additional solution branches, including families of slow waves that are absent in minimal models and may play important roles in abnormal wave dynamics. Our comparisons across models of increasing complexity distinguish robust features of wave propagation from those arising specifically from detailed ionic interactions and represent a step toward validating that the observed behaviors reflect genuine cardiac phenomena rather than artifacts of specific model formulations.
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Lovero et al. (2026) studied Cardiac electrophysiology and action potential propagation (computational models). Traveling Wave Investigation Software Tool (TWIST) applied to biophysically detailed cardiac models (Beeler-Reuter and nine-variable ten Tusscher-Panfilov) vs. Minimal excitable model (FitzHugh-Nagumo) and existing continuation software (AUTO) was evaluated on Existence, spectral stability, and bifurcation structure (dispersion relations) of traveling wave solutions. TWIST analysis revealed that the nine-variable ten Tusscher-Panfilov model exhibits additional dispersion solution branches and slow-wave families absent in minimal FitzHugh-Nagumo models.
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