Atypical collective oscillatory activity in cardiac tissue uncovered by optogenetics

Many biological processes emerge as frequency-dependent responses to trains of external stimuli. Heart rhythm disturbances, that is cardiac arrhythmias, are important examples as they are often triggered by specific patterns of preceding stimuli. In this study, we investigated how ectopic arrhythmias can be induced by external stimuli in cardiac tissue containing a localised area of depolarisation. Using optogenetic in vitro experiments and in silico modelling, we systematically explored the dynamics of these arrhythmias, which are characterised by local oscillatory activity, by gradually altering the degree of depolarisation in a predefined region. Our findings reveal a bi-stable system, in which transitions between oscillatory ectopic activity and a quiescent state can be precisely controlled, that is by adjusting the number and frequency of propagating waves through the depolarised area oscillations could be turned on or off. These frequency-dependent responses arise from collective mechanisms involving stable, non-self-oscillatory cells, contrasting with the typical role of self-oscillations in individual units within biophysical systems. To further generalise these findings, we demonstrated similar frequency selectivity and bi-stability in a simplified reaction–diffusion model. This suggests that complex ionic cell dynamics are not required to reproduce these effects; rather, simpler non-linear systems can replicate similar behaviour, potentially extending beyond the cardiac context.

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Publication Details

Journal
eLife
Published
2026-01-07
DOI
https://doi.org/10.7554/elife.107072.3
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
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article

Atypical collective oscillatory activity in cardiac tissue uncovered by optogenetics

Tim De Coster, Alexander S Teplenin, Daniël A. Pijnappels, Nina Kudryashova et al.
eLife
Nonlinear Dynamics and Pattern Formation
article

Atypical collective oscillatory activity in cardiac tissue uncovered by optogenetics

Tim De Coster, Alexander S Teplenin, Daniël A. Pijnappels, Nina Kudryashova, Rupamanjari Majumder, Antoine AF de Vries, Alexander Panfilov
article en

Abstract

Many biological processes emerge as frequency-dependent responses to trains of external stimuli. Heart rhythm disturbances, that is cardiac arrhythmias, are important examples as they are often triggered by specific patterns of preceding stimuli. In this study, we investigated how ectopic arrhythmias can be induced by external stimuli in cardiac tissue containing a localised area of depolarisation. Using optogenetic in vitro experiments and in silico modelling, we systematically explored the dynamics of these arrhythmias, which are characterised by local oscillatory activity, by gradually altering the degree of depolarisation in a predefined region. Our findings reveal a bi-stable system, in which transitions between oscillatory ectopic activity and a quiescent state can be precisely controlled, that is by adjusting the number and frequency of propagating waves through the depolarised area oscillations could be turned on or off. These frequency-dependent responses arise from collective mechanisms involving stable, non-self-oscillatory cells, contrasting with the typical role of self-oscillations in individual units within biophysical systems. To further generalise these findings, we demonstrated similar frequency selectivity and bi-stability in a simplified reaction–diffusion model. This suggests that complex ionic cell dynamics are not required to reproduce these effects; rather, simpler non-linear systems can replicate similar behaviour, potentially extending beyond the cardiac context.

eLifeVol. 14
Leiden University Medical Center (NL), Ghent University (BE), Netherlands Heart Institute (NL)
Openalex Percentile: Top 96%
Nonlinear Dynamics and Pattern Formation
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Atypical collective oscillatory activity in cardiac tissue uncovered by optogenetics — Tim De Coster, Alexander S Teplenin, et al. · eLife (2026) | TGRS Research Map | TGRS