Control of spiral waves in optogenetically modified cardiac tissue by periodic optical stimulation

Li, Qi-Hao; Xia, Yuan-Xun; Xu, Shu-Xiao; Song, Zhen; Pan, Jun-Ting; Panfilov, Alexander V.; Zhang, Hong

doi:10.1103/physreve.105.044210

Cited by 3 publications

(2 citation statements)

References 60 publications

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“…This allowed us to gain better insight into the mechanisms of arrhythmia termination during global optical defibrillation. In addition, Li et al [ 23 ] investigated the control of the dynamics of a spiral wave in a 2D cardiac tissue model via the temporal modulation of cardiac excitability. They reported the resonant drift dynamics of this spiral wave when the stimulation frequency is close to the frequency of the spiral wave.…”

Section: Discussionmentioning

confidence: 99%

“…Our studies revealed the possibility of inducing spiral wave drift, which eventually led to arrhythmia termination. Recently, Li et al [ 23 ] investigated the control of spiral wave dynamics in optogenetically modified 2D cardiac tissue using temporal modulation of excitability. Their study reports a similar drift of the spiral wave at stimulation frequencies close to the frequency of the spiral.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

In silico optical modulation of spiral wave trajectories in cardiac tissue

Hussaini,

Majumder,

Krinski

et al. 2023

Pflugers Arch - Eur J Physiol

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Life-threatening cardiac arrhythmias such as ventricular tachycardia and fibrillation are common precursors to sudden cardiac death. They are associated with the occurrence of abnormal electrical spiral waves in the heart that rotate at a high frequency. In severe cases, arrhythmias are combated with a clinical method called defibrillation, which involves administering a single global high-voltage shock to the heart to reset all its activity and restore sinus rhythm. Despite its high efficiency in controlling arrhythmias, defibrillation is associated with several negative side effects that render the method suboptimal. The best approach to optimize this therapeutic technique is to deepen our understanding of the dynamics of spiral waves. Here, we use computational cardiac optogenetics to study and control the dynamics of a single spiral wave in a two-dimensional, electrophysiologically detailed, light-sensitive model of a mouse ventricle. First, we illuminate the domain globally by applying a sequence of periodic optical pulses with different frequencies in the sub-threshold regime where no excitation wave is induced. In doing so, we obtain epicycloidal, hypocycloidal, and resonant drift trajectories of the spiral wave core. Then, to effectively control the wave dynamics, we use a method called resonant feedback pacing. In this approach, each global optical pulse is applied when the measuring electrode positioned on the domain registers a predefined value of the membrane voltage. This enables us to steer the spiral wave in a desired direction determined by the position of the electrode. Our study thus provides valuable mechanistic insights into the success or failure of global optical stimulation in executing efficient arrhythmia control.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

In silico optical modulation of spiral wave trajectories in cardiac tissue

Hussaini,

Majumder,

Krinski

et al. 2023

Pflugers Arch - Eur J Physiol

View full text Add to dashboard Cite

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Dynamics and control of spiral waves under feedback derived from a moving measuring point

Gao

Liu

Shi

et al. 2023

Chaos, Solitons & Fractals

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A review of advances in multiscale modelings, computations, and dynamical theories of arrhythmias

Huang,

He,

Song

et al. 2024

Acta Phys. Sin.

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Biological systems are complex systems that are regulated at multiple scales, with dynamics ranging from random molecular fluctuations to spatiotemporal wave dynamics and periodic oscillations. To understand the underlying mechanisms and link the dynamics at the molecular scale to those at the tissue and organ scales, research approaches integrating computer modeling and simulation, nonlinear dynamics, and experimental and clinical data have been widely used. In this article, we review how these approaches have been used to investigate the multiscale cardiac excitation dynamics, particularly the genesis of cardiac arrhythmias that can lead to sudden death. The specific topics covered in this review are: i) Mechanisms of formation of intracellular calcium sparks (the bottom panel in Fig.12) and waves (the second lowest panel in Fig.12) in the subcellular scale, which can be described by stochastic transitions between the two stable states of a bistable system and second order phase transition, respectively; ii) Mechanisms of triggered activities in the cellular scale (the second panel from the top of Fig.12) resulting from transmembrane voltage and intracellular calcium cycling and their coupling, some of which can be well described by the bifurcation theories of the nonlinear dynamical system; iii) Mechanisms for the genesis of arrhythmias at the tissue scale (the top panel in Fig.12) induced by the triggered activities, which can be understood as dynamical instability-induced pattern formation in heterogeneous excitable media; and iv) Manifestations of the excitation dynamics and transitions in the whole heart (organ scale) in electrocardiogram to bridge the spatiotemporal wave dynamics to clinical observations. These results indicate that nonlinear dynamics, pattern formation and statistical physics are the fundamental components for establishing a theoretical framework for understanding cardiac arrhythmias.Fig.12. Multiscale excitation dynamics in the heart. From bottom up the results of different scales are illustrated. The bottom panel (CRU scale) illustrates the line scan images of calcium sparks in the single calcium release unit (upper trace, the color indicates the intensity of the spark), and the trace of the total calcium intensity (lower trace). Calcium spark can be described by the Kramer’s transition between the two states of a bistable system (as shown in Fig.4). The second lowest panel (subcellular scale) is a line scan image of calcium waves inside a cell. The formation of a calcium wave is a self-organization process that involves the second-order phase transition, as indicated by the power-law distribution of calcium spark cluster size (see Fig.5). The second top panel (cellular scale) indicates triggered activities (including early after depolarizations and delayed afterdepolarizations) induced by the coupling between calcium wave and voltage in a single cell, some of which can be well described by the bifurcation theories of the nonlinear dynamical system (as discussed in Fig.6). The top panel (tissue and organ scale) shows spontaneous genesis of reentry (spiral wave) via a dynamical instability in whole heart, which will be manifestated as arrhythmias in the electrocardiogram (see Figs.10 and 11).

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Control of spiral waves in optogenetically modified cardiac tissue by periodic optical stimulation

Cited by 3 publications

References 60 publications

In silico optical modulation of spiral wave trajectories in cardiac tissue

In silico optical modulation of spiral wave trajectories in cardiac tissue

Dynamics and control of spiral waves under feedback derived from a moving measuring point

A review of advances in multiscale modelings, computations, and dynamical theories of arrhythmias

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