Evidence map›Paper›PMID 42564121›Full record

ArticleFrontiers in physiology2026

Exploring wave propagation dynamics in heterogeneous excitable media: effects of intermittent cellular inactivation.

Yaacov Biton, Doron Braunstein, Ella Smolik, Revital Rabinovitch, Avinoam Rabinovitch

Abstract read
In one paragraph

Article in Frontiers in physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yaacov BitonDepartment of Physics, Ben-Gurion University of the Negev, Be'er, Sheva, Israel.
Doron BraunsteinDepartment of Physics, Shamoon College of Engineering, Be'er, Sheva, Israel.
Ella SmolikDepartment of Physics, Shamoon College of Engineering, Be'er, Sheva, Israel.
Revital RabinovitchMakif Yud Alef High School, Rishon LeZion, Israel.
Avinoam RabinovitchDepartment of Physics, Ben-Gurion University of the Negev, Be'er, Sheva, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatially and temporally varying excitability is increasingly recognized as an important source of conduction instability in excitable media. In this study, we investigate the effects of localized intermittent cellular inactivation on wave propagation using a two-dimensional continuous FitzHugh-Nagumo reaction-diffusion model. A designated region of the medium was subjected to stochastic switching between excitable and weakly excitable states, thereby representing dynamic functional heterogeneity in otherwise homogeneous tissue. Systematic simulations revealed three distinct propagation regimes as a function of the density of intermittently inactive cells within the affected region. At low densities (<4%), planar waves traversed the heterogeneous zone with only minor local distortions and recovered global coherence. At intermediate densities (approximately 4%-18%), localized wave breaks promoted the initiation of persistent spiral activity. At higher densities (>18%), conduction through the heterogeneous region was severely disrupted, leading to wavefront fragmentation and failure of coherent propagation. These results show that temporally fluctuating local inactivation, even in the absence of fixed anatomical obstacles or deterministic ectopic drivers, is sufficient in this model to generate threshold-dependent transitions from stable propagation to reentrant-like dynamics. The findings support the idea that dynamic functional heterogeneity may provide a plausible mechanistic substrate for arrhythmogenic wave instability in cardiac-like excitable media, such as atrial fibrillation (AF), and motivate further investigation in more physiologically detailed models.

Indexed as

atrial fibrillationexcitable mediaFitzHugh-Nagumo modelfunctional heterogeneityintermittent cellular inactivationspiral waveswave propagation

Identifiers

PMID42564121
PMCPMC13441843

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.