Abstract
Spiral wave initiation in the heart muscle is a mechanism for the onset of dangerous cardiac arrhythmias. A standard protocol for spiral wave initiation is the application of a stimulus in the refractory tail of a propagating excitation wave, a region that we call the “classical vulnerable zone.” Previous studies of vulnerability to spiral wave initiation did not take the influence of deformation into account, which has been shown to have a substantial effect on the excitation process of cardiomyocytes via the mechano-electrical feedback phenomenon. In this work we study the effect of deformation on the vulnerability of excitable media in a discrete reaction-diffusion-mechanics (dRDM) model. The dRDM model combines FitzHugh-Nagumo type equations for cardiac excitation with a discrete mechanical description of a finite-elastic isotropic material (Seth material) to model cardiac excitation-contraction coupling and stretch activated depolarizing current. We show that deformation alters the “classical,” and forms a new vulnerable zone at longer coupling intervals. This mechanically caused vulnerable zone results in a new mechanism of spiral wave initiation, where unidirectional conduction block and rotation directions of the consequently initiated spiral waves are opposite compared to the mechanism of spiral wave initiation due to the “classical vulnerable zone.” We show that this new mechanism of spiral wave initiation can naturally occur in situations that involve wave fronts with curvature, and discuss its relation to supernormal excitability of cardiac tissue. The concept of mechanically induced vulnerability may lead to a better understanding about the onset of dangerous heart arrhythmias via mechano-electrical feedback.
Introduction
Reaction-diffusion (RD) equations describe a wide range of phenomena in biological, physical and chemical systems, such as rotating spiral waves. Examples are spiral waves in the Belousov-Zhabotinsky (BZ) reactions [1], [2] and in the catalyzed oxidation of carbon monoxide on platinum surfaces [3]. Spiral waves lead the morphogenesis of the Dictyostelium discoideum amoebae [4], [5] and occur in retinal and cortical nerve tissue [6], where they underpin neurological diseases, such as epilepsy and migraine. One of the most studied systems is the heart, where spiral wave excitation patterns are a main cause for life-threatening cardiac arrhythmias [2], [7].
In many cases the phenomena described by the RD equations are closely coupled with mechanical processes, such as cell motion in Dd-morphogenesis [5] or the swelling of a gel caused by BZ reactions [8], that cannot be described by the RD equations alone. For the heart, the coupling mechanism between the excitation and the deformation processes works in both directions. The primary physiological function of the heart, its rhythmical pumping, is governed by electrical waves of excitation [9]. The contraction of the heart, however, in turn directly affects the excitation process of the cardiomyocytes. This phenomenon ‘mechano-electrical-feedback’ has been studied in cardiac electrophysiology for over a century, and has been shown to have both positive and negative consequences on the heart rhythm [10]. Recently, a modeling approach has been proposed, that can account for basic effects of the coupled electrical and mechanical cardiac activity, the reaction-diffusion mechanics (RDM) modeling framework [11]. The RDM approach combines the RD equations to describe wave propagation with the equations of continuum mechanics to model the deformation of the medium. Using this RDM framework, important phenomena were identified, such as self-organized pacemakers [12] and the drift and breakup of rotating spiral waves [13].
In this paper we show results of a RDM study on an initial step of the onset of cardiac arrhythmias, the initiation of spiral waves. For this research we applied a recently introduced discrete RDM model [14] (dRDM), which couples FitzHugh-Nagumo RD equations for cardiac excitation [15] with a discrete mechanics model describing a finite elastic, isotropic material (Seth material). The dRDM framework describes cardiac excitation-contraction coupling and immediate mechano-electrical-feedback due to a depolarizing stretch activated current.
Vulnerability of an excitable medium is the phenomenon of spiral wave initiation by a local stimulus whose responding wave is unidirectionally blocked by an asymmetric distribution in excitability [16]. We denote the vulnerable zone at the refractory tail of an excitation wave in this paper as the ‘classical vulnerable zone’. We studied vulnerability in the dRDM model with the ‘pinwheel experiment’, a standard stimulation protocol for the initiation of spiral waves. In this protocol a stimulus is applied in the back of a previously initiated excitation wave, with a certain coupling interval between the applied stimuli [17], [18].
Our main finding is that deformation induces a new type of vulnerability in the dRDM system which results in a new mechanism of spiral wave initiation. In this mechanism an unidirectional block occurs in the opposite direction compared to a block caused in the ‘classical vulnerable zone’. This mechanically caused unidirectional block results in pairs of spiral waves rotating in the opposite direction to those resulting from a wave block in the ‘classical vulnerable zone’. We study the mechanism of this phenomenon and its dependence on changes in the stimulation protocol. Furthermore, we provide examples when this new type of spiral wave initiation naturally occurs due to stretch caused by wave fronts with curvature. Finally, we discuss the importance of our findings for the phenomena of supernormal excitability of cardiac tissue and the onset of cardiac arrhythmias.
Methods
For this study we used the dRDM model [14], which has been shown to enable efficient computations with higher spatial and temporal numerical resolution compared to the continuous RDM description used in [12]. In [14] a detailed description of the dRDM model setup and numerical methods is given. Table 1 provides an overview of all parameters of the dRDM model and their numerical values used in this publication and shows alterations to parameters used in [14].
Table 1. Overview of dRDM parameters.
Category | Parameter | Numeric value |
Electrophysiology | ||
; () | ||
Mechanics | ||
, varied in inhomogeneities; () | ||
Electromechanical feedback | ||
and ; () | ||
Mesh coupling | ||
Integration | ||
Parameters for the dRDM model used in this paper, and after a semicolon ‘;’ (in parentheses) numerical values are shown that were used in the previous publication [14] if the numerical value changed in the present paper. Parameter is the ratio of mass points to finite difference points, is the update ratio of the RD system to the update of the mesh configuration.
The dRDM model consists of a two-variable FitzHugh-Nagumo type RD model for cardiac excitation [15], coupled with mechanics equations describing a finite-elastic, isotropic material [14]
(1) |
(2) |
(3) |
(4) |
(5) |
(6) |
(7) |
(8) |
where is a step function setting the time scale of the recovery and contraction process: for , and for . For undeformed tissue, Eqs.(1),(2) with transmembrane potential (in dimensionless excitation units [e.u.]) and conductance of slow repolarizing current (in dimensionless recovery units [r.u.]), describe non-oscillatory cardiac tissue, which is able to provide stable wave propagation for the parameters (activation threshold) and (magnitude of transmembrane current) used in this paper. The medium of the dRDM model is described by a square lattice, where mass points are connected to (if not at the boundary) direct neighboring mass points with springs. Each such mass point is connected to its diagonal neighbors with ‘passive springs’ (describing passive elastic properties only), and to its vertical and horizontal neighbors with ‘active springs’ (springs that additionally mediate active forces). Eqs.(3),(4) describe the excitation-contraction coupling for two neighboring mass points and that are connected by an active spring, where modulates the active contraction force via Eq.(4), and the parameter ( in this paper) controls the amplitude of the contraction twitch. The Eqs.(5),(6) describe the forces mediated through an active spring to mass points and , and the forces mediated through a passive spring to mass points and , respectively. In Eqs.(5),(6) the spring vectors are given by the mass point's positions as and , is the resting length of an active spring and the resting length of a passive spring, and are the time derivatives of the respective spring vectors and , and and are the stiffness and damping constants ( unless stated otherwise, and ). The forces are functions of the mass point's positions , , , velocities , , and , that form the active force distribution through Eqs.(3),(4). Following previous RDM studies to study cardiac electromechanics [11]–[14] elastostatics was assumed in this paper. By solving Eq.(7), with the mass of a mass point set to , the elastostatic configuration of the lattice for every force distribution defined by the RD state is found. The deformation of the tissue feeds back on the excitation process. Following previous studies [12]–[14], we describe the direct influence of deformation on the excitation state of the medium as depolarizing stretch-activated currents [10], that are activated instantaneously with mechanical dilatation, and describe a linear current-voltage relationship [19], [20]. Therefore, we use Eq.(8) in this paper to model mechano-electrical feedback through stretch activated channels. In Eq.(8) the parameters and are the maximal conductance and reversal potential of the stretch activated channels ( in this paper), the variable is the normalized surface area (relative to the undeformed reference surface area) of a square, formed by direct neighboring mass points, connected with active springs. Stretch activated current is active only if (stretch). The value of is a main parameter of the effect of . In our simulations we varied between and , feedback strengths where also pacemaking activity [12], [14] can occur in the medium.
Numerical Methods
The coupled dRDM model was solved with a hybrid approach, the explicit Euler method to solve the RD system, and the Verlet integration scheme [21] to solve the mechanical model. After each Euler computation of the RD system describing a new force distribution in the medium, the mechanical equations were solved with a Verlet integration time step until the sum of forces for each mass point was smaller than the threshold (dimensionless force units [f.u.]). Euler computations were performed on a quadratic deforming grid of up to finite difference points using no-flux boundary conditions. For all simulations, an Euler integration time step of (dimensionless time units [t.u.]) and a space integration step of (dimensionless space units [s.u.]) were used. According to the explicit Euler method the diffusion term in Eq.(1) for a electrical mesh point at position is computed as
and the excitation state of an electrical mesh point for a next time step is computed as
The position of a mass point during the iterative solution of Eq.(7) is computed by a Verlet step with
The boundaries of the deformable medium were fixed in space modeling isometric contraction to mimic isovolumic phases in the cardiac cycle, an assumption that has been made also in previous electromechanical studies [12], [14]. The parameter together with the stiffness constant control local deformations of the contraction process. These parameters were chosen to give rise to relative local deformations in the medium of up to (similar to contracting cardiac cells). The elastic properties of this model can be described by the Seth material constitutive relation [14].
Pinwheel Experiment
Figure 1 illustrates the setup of the pinwheel experiment and demonstrates the vulnerability of an excitable medium in the dRDM model without deformation (Eqs.(1),(2)). In a pinwheel experiment a ‘secondary stimulus’ (S2) is applied in the back of a previously initiated ‘S1 wave’ (see Figure 1A). The wave initiated by the S2 stimulation can be blocked by the refractory tail (lower panel of Figure 1) towards the propagation direction of the S1 wave and can only propagate in other directions (see schematic successive front positions in upper panel of Figure 1A). As a result a pair of counter rotating spiral waves occurs. The upper panel of Figure 1B illustrates the vulnerable zone of the non-deforming excitable medium. Blue dots symbolize S2 stimuli for which spiral waves were initiated. The black crosses mark the lowest stimulation strengths which result in no conduction blocks and thus to connected wave fronts. Stimulations with positions and strengths under the lower bound of these regimes resulted in no wave initiation (the threshold of excitation). This unidirectional block is caused by a gradient in excitability due to the recovery tail of the S1 wave [22]. The lower panel of Figure 1B shows an inset of the voltage and the recovery variable in the tail of the S1 wave. We see a monotonic decrease of the recovery variable v which causes the monotonic decrease of excitability (compare upper panel of Figure 1B) in the tail of the wave, which explains the block of the S2 wave in the forward direction. We refer to the vulnerable zone, which is formed by the recovery tail of a wave, as the ‘classical vulnerable zone’ in this work. The ‘classical vulnerable zone’ has been shown previously to be an inherent property of excitable media [16].
Results
‘Classical Vulnerable Zone’ in Deforming dRDM System
Applying the pinwheel experiment for the deforming dRDM system (Eqs.(1)-(8)) we find the ‘classical vulnerable zone’ slightly altered. The top panel of Figure 2B illustrates the vulnerable zone for the deforming dRDM system. Following the notation from Figure 1B, the stimulations at positions and amplitudes that result in classical spiral wave initiation are indicated in blue, and the lowest stimulation strengths that cause connected wave fronts are indicated as black crosses. A comparison of the top panels of Figure 2B and Figure 1B shows that the ‘classical vulnerable zone’ (regime I) is also present in the deforming system. The ‘classical vulnerable zone’ in the deformed case shows a steeper excitability gradient compared to the undeformed system. As a result, the threshold of excitation for the undeformed system is higher in the ‘classical vulnerable zone’ compared to the deforming system. For instance, at position a minimal S2 amplitude of is required in the deformed case, whereas for the undeformed case a minimal S2 amplitude of is required. This can be explained by the depolarizing stretch activated current , that is present for positions smaller than , where local stretch develops (lower panel of Figure 2B) and leads to an increase in and thus to a decreased threshold of excitation.
New Mechanism of Spiral Wave Initiation
In addition to the ‘classical vulnerable zone’ we find a new regime of spiral wave initiation for the deformed case. For stimulations at positions to , depicted as orange dots in the upper panel of Figure 2B, we see that the propagation of the S2 wave is blocked oppositely to the propagation direction of the S1 wave. As a result, a pair of counter rotating spiral waves is initiated (upper panel Figure 2A) (regime II) with rotation directions opposite to spirals initiated by the classical mechanism (upper panel Figure 1A) (regime I). This process of mechanically caused conduction block and spiral wave initiation is illustrated in Figure 3. We see an S2 stimulation (Figure 3A) that results in a wave that can propagate away from the S1 wave but fails to propagate towards it (Figure 3B), forming a pair of counter rotating spirals (Figure 3C).
The mechanism of this new regime of spiral wave initiation can be understood from Figure 2B. We observe a non-monotonous dependence of the threshold for wave initiation by an S2 stimulus (lower boundary of curve in top panel of Figure 2B) on the distance from the S1 wave. The medium is most excitable (lowest threshold) at position , from where the threshold gradually increases with larger distance from the S1 wave to a steady state value. As a result, a stimulation around the maximal excitability in the medium may initiate a wave that is able to propagate towards the S1 wave, but is blocked in the opposite direction.
How does deformation cause this new vulnerability? In the lower panel of Figure 2B we can see the state variables of the dRDM model in the vulnerable zone. The transmembrane potential is indicated as a black line, the recovery state as a red line and stretch as a green line. We see, that in the back of the S1 wave where the medium recovers (from ), local stretch develops in the medium. The stretch in the medium causes depolarizing stretch activated current , which leads to an increase of . In general, an increase of brings the system closer to the threshold value and thus decreases the threshold of the S2 stimulation amplitude, which explains the decrease of the S2 threshold in the ‘classical vulnerable zone’. However, further behind the back of the S1 wave another process takes place. The increased causes the recovery state to increase, which in turn decreases the excitability of the medium. In conclusion we can state that the threshold minimum and gradient emerges due to the depolarization of the tissue by stretch activated current (Eq.(8)). Note, that in general, the decrease of excitability caused by slow depolarisation is a well known phenomenon, called accommodation which has been studied in electrophysiology since 1936 [23],[24]. A previous study [13] also showed that this phenomenon can result in block of waves during spiral wave rotation. Here we show another mechanically induced manifestation of accommodation in RDM systems.
Dependence of the New Mechanism on Stimulation Parameters
We tested how the protocol of stimulation affects the new mechanism of spiral wave initiation. For this, we studied the effect of electrode shape (thickness) and duration of a S2 stimulus, applied in the position of maximal excitability (), on the window of stimulus strengths that initiate spiral waves. We found that the thickness of the stimulated region does not affect the parameter window significantly (Figure 4A). However, it turned out that a longer stimulation pulse approximately doubles the parameter window to a maximal window size of (Figure 4B).
Mechanically Initiated Spiral Waves
Although the interval of S2 stimulation strengths, for which spiral wave dynamics is induced, is narrow, it may still be an important mechanism, because the mechanically caused vulnerable zone is located at the area of maximal excitability in the medium. This is illustrated by the following examples. It has been shown previously [12], [14] that a point stimulus in an electromechanical system can produce pacemaking activity. This is because a radially spreading excitation-contraction wave tends to stretch and thus depolarizes the medium by stretch activated current in the vicinity of the initial point stimulus. This stretch activated current can initiate a new wave. The strength of this stretch activated current depends on the degree of stretch of the medium which itself is affected by many other factors, such as boundary conditions and elastic properties of the material. Furthermore, the magnitude in stretch depends on the location of the initial stimulus in the medium: if it is closer to the center the stretch amplitude is maximal, and decreases when the pacemaker position shifts to the boundary of the medium [14]. It turns out that this effect can also initiate spiral waves via the new mechanism reported in this paper. If a point stimulus is applied in the system within the inner region of the medium enclosed by the green region in Figure 5F, then sustained pacemaking activity emerges [14]. However, if the initial stimulus is applied in the region outside the green region in Figure 5F, then the resulting stretch in the vicinity of the initial stimulation site is not sufficient to stimulate an additional pulse. Furthermore, if the initial stimulus is applied in the green area, it leads to a ‘close to threshold’ excitation of the medium and spiral wave generation via the new mechanism. Figures 5A-E illustrate this phenomenon (see also Video S1). We see that wave is blocked unidirectionally towards the boundary of the medium (Figure 5D) initiating a pair of counter rotating spiral waves via the new mechanism (compare Figure 3). The surface area of this ‘critical region’ is of the total surface area.
Such a scenario of mechanically induced spiral wave formation can also occur without a point stimulus. In [14] it has been shown that the curvature of a wave in a dRDM system similar to that used in this paper causes an asymmetric strain distribution in the medium. Curvature effects have been shown to be important for spiral wave initiation [25], [26]. One physiological example how a curvature of a wave front can be created is the diffraction of a travelling wave at an isthmus, which was studied extensively in cardiac electrophysiology [27]. In Figure 6 we show that such a diffraction event can also result in spiral waves initiation via the new mechanism. We see that the initial wave forms a curved wave front after diffraction at an isthmus. The curvature of wave leads to a region of maximal stretch in the focus of the curved wave which initiates an additional wave . Wave is blocked retrogradely to the propagation direction of wave forming two spirals via the new mechanism (see also Video S2).
Another more complex scenario for mechanical spiral wave initiation is presented in Figure 7 (see also Video S3). We see a wave front propagating around an obstacle, where it gets curved and leads to a new wave initiation (Figure 7A,B). This new wave itself is curved and initiates another wave (Figures 7C,D). However, this new wave is unidirectionally blocked retrogradely towards the propagation direction of wave , and thus a rotating spiral wave is initiated.
Note, that in all examples shown above the formation of new spiral waves is caused by mechanically induced ‘close-to-threshold’ stimuli in the area of maximal excitability, and thus according to the mechanism of spiral wave initiation reported in this article.
Discussion
In this paper we show that deformation can substantially affect the vulnerability of an excitable medium. At longer coupling intervals, deformation induces a new vulnerable zone different from the classical vulnerable zone in the dRDM model. In this mechanically induced vulnerable zone we found a new mechanism of spiral wave initiation which results in spiral wave pairs that rotate counter to the directions of spirals resulting from the classical vulnerable zone. The mechanically induced vulnerable zone is located at a region of maximal excitability in the back of an excitation wave. As a result, this mechanism of spiral wave initiation is relevant for weak stimuli, which can for example be caused by stretch activated currents. Using diffraction at an isthmus and a deflection on a non-conducting inhomogeneous medium as examples, we show that when curvature is introduced to a wave of excitation, it can lead to asymmetric stretch distributions causing weak stimuli to initiate spiral waves by the mechanism shown in this article.
All studies were performed with the dRDM model, which describes the mechanics of the medium in a discrete formulation. Another approach of modeling electromechanics uses continuous modeling frameworks. However, the dRDM approach has been shown to reproduce RDM phenomena previously found with a continuous modeling framework [14]. Thus we expect our results to hold true for continuous descriptions of cardiac mechanics.
The mechanically caused vulnerable zone is located at longer coupling intervals compared to the ‘classical vulnerable zone’. It would be interesting to see if this new vulnerability can be seen in an experiment for electrical stimulation of cardiac tissue or mechanical stimulation mimicking the onset of the deadly heart arrhythmia ‘commotio cordis’, a state of chaotic excitation patterns following an impact on the heart tissue.
Note, that in our simulations the parameter range for the initiation of spiral waves, and for the generation of new pulses via stretch are close to each other. In [28] it has been suggested, that stretch can induce new pulses in cardiac tissue. We believe therefore, that under these circumstances it will also be possible to induce spiral waves by the mechanism shown in Figures 5– 7 in this paper.
In this paper isometric boundary conditions (fixed boundaries) were applied. The change of the boundary conditions affects the stretch magnitude and distribution in the medium, and accordingly may shift parametric ranges of the observed phenomena. However, changes in boundary conditions do not change the basic effects of stretch activated currents, and thus conditions for the emergence of the mechanically caused vulnerability. Therefore, we expect that with other mechanical boundary conditions we will get similar results, provided that sufficiently large stretch is developed in the medium. Quantifying the effects of boundary conditions and geometry may be the subject of a following study.
We performed this study in a phenomenological low dimensional model of cardiac excitation. However, we think that the results will be reproduced in more detailed models, because the mechanism is based on the accommodation effect, which can be perfectly reproduced by ionic models.
The phenomenon ‘superexcitability’ has been reported in various experimental studies [29], [30], and may be caused by factors not related to mechano-electrical feedback. As the basic requirement for our mechanism of spiral wave initiation, besides a threshold stimulus, is only superexcitability, we can expect that it may also work in situations when it is not mechanically induced.
Supporting Information
Acknowledgments
The authors are grateful to Dr. Martyn P. Nash, Dr. Rikkert H. Keldermann for valuable discussions. The authors furthermore thank Dr. Sarah LaPointe, Dr. Tendai Mugwagwa and Paul Baron for help with language editing of the manuscript and Jan Kees van Amerongen for excellent technical support.
Footnotes
Competing Interests: The authors have declared that no competing interests exist.
Funding: LDW is funded by the Netherlands Organization for Scientific Research (http://www.nwo.nl) (NWO Grant No. 613.000.604) of the research Council for Physical Sciences (EW). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Zaikin A, Zhabotinsky A. Concentration wave propagation in two-dimensional liquid-phase self-oscillating system. Nature. 1970;225:535–537. doi: 10.1038/225535b0. [DOI] [PubMed] [Google Scholar]
- 2.Winfree A, Strogatz S. Organizing centers for three-dimensional chemical waves. Nature. 1984;311:611–615. doi: 10.1038/311611a0. [DOI] [PubMed] [Google Scholar]
- 3.Imbihl R, Ertl G. Oscillatory kinetics in heterogeneous catalysis. Chem Rev. 1995;95:697–733. [Google Scholar]
- 4.Gerisch G. Stadienspezifische aggregationsmuster bei Dictyostelium discoideum. Wilhelm Roux' Archiv für Entwicklungsmechanik der Organismen. 1965;156:127–144. doi: 10.1007/BF00573870. [DOI] [PubMed] [Google Scholar]
- 5.Weijer C. Dictyostelium morphogenesis. Curr Opin Genet Dev. 2004;14:392–398. doi: 10.1016/j.gde.2004.06.006. [DOI] [PubMed] [Google Scholar]
- 6.Gorelova N, Bures J. Spiral waves of spreading depression in the isolated chicken retina. J Neurobiol. 1983;14:353–363. doi: 10.1002/neu.480140503. [DOI] [PubMed] [Google Scholar]
- 7.Davidenko J, Pertsov A, Salomonsz R, Baxter W, Jalife J. Stationary and drifting spiral waves of excitation in isolated cardiac muscle. Nature. 1992;355:349–351. doi: 10.1038/355349a0. [DOI] [PubMed] [Google Scholar]
- 8.Yoshida R, Takahashi T, Yamaguchi T, Ichijo H. Self-oscillating gel. J Am Chem Soc. 1996;118:5134–5135. [Google Scholar]
- 9.Bers D. Cardiac excitation-contraction coupling. Nature. 2002;415:198–205. doi: 10.1038/415198a. [DOI] [PubMed] [Google Scholar]
- 10.Kohl P, Hunter P, Noble D. Stretch-induced changes in heart rate and rhythm: Clinical observations, experiments and mathematical models. Prog Biophys Molec Biol. 1999;71:91–138. doi: 10.1016/s0079-6107(98)00038-8. [DOI] [PubMed] [Google Scholar]
- 11.Nash M, Panfilov A. Electromechanical model of excitable tissue to study reentrant cardiac arrhythmias. Prog Biophys Mol Biol. 2004;85:501–522. doi: 10.1016/j.pbiomolbio.2004.01.016. [DOI] [PubMed] [Google Scholar]
- 12.Panfilov A, Keldermann R, Nash M. Self-organized pacemakers in a coupled reaction-diffusion-mechanics system. Phys Rev Lett. 2005;95(25):258104. doi: 10.1103/PhysRevLett.95.258104. [DOI] [PubMed] [Google Scholar]
- 13.Panfilov A, Keldermann R, Nash M. Drift and breakup of spiral waves in reaction-diffusion-mechanics systems. Proc Natl Acad Sci USA. 2007;104:7922–7926. doi: 10.1073/pnas.0701895104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Weise LD, Nash MP, Panfilov AV. A discrete model to study reaction-diffusion-mechanics systems. PLoS ONE. 2011;6:e21934. doi: 10.1371/journal.pone.0021934. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Aliev R, Panfilov A. A simple two-variable model of cardiac excitation. Chaos, Solitons and Fractals. 1996;7:293–301. [Google Scholar]
- 16.Starmer CF, Biktashev VN, Romashko DN, Stepanov MR, Makarova ON, et al. Vulnerability in an excitable medium: Analytical and numerical studies. Biophys J. 1993;65:1775–1787. doi: 10.1016/S0006-3495(93)81233-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Winfree A. New York, USA: Princeton University Press; 1987. When time breaks down: The Three-Dimensional Dynamics of Electrochemical Waves and Cardiac Arrhythmias. [Google Scholar]
- 18.Winfree AT. Electrical instability in cardiac muscle: Phase singularities and rotors. JTheor Biol. 1989;138:353–405. doi: 10.1016/s0022-5193(89)80200-0. [DOI] [PubMed] [Google Scholar]
- 19.Hu H, Sachs F. Stretch-activated ion channels in the heart. J Mol Cell Cardiol. 1997;29:1511–1523. doi: 10.1006/jmcc.1997.0392. [DOI] [PubMed] [Google Scholar]
- 20.Zhang Y, Youm J, Sung H, Lee S, Ryu S, et al. Stretch-activated and background nonselective cation channels in rat atrial myocytes. J Physiol. 2000;523:607–619. doi: 10.1111/j.1469-7793.2000.00607.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Verlet L. Computer “experiments” on classical fluids. i. thermodynamical properties of lennard-jones molecules. Phys Rev. 1967;159:98. [Google Scholar]
- 22.Wiener N, Rosenblueth A. The mathematical formulation of the problem of conduction of impulses in a network of connected excitable elements, specifically in cardiac muscle. Archivos Del Instituto De Cardiologa De Mexico. 1946;16:205–265. [PubMed] [Google Scholar]
- 23.Hill A. Excitation and accommodation in nerve. Proc R Soc Lond. 1936;119:305–355. [Google Scholar]
- 24.Hodgkin A, Huxley A. A quantitative description of membrane current and its application to conduction and excitation in nerve. J Physiol. 1952;117:500–544. doi: 10.1113/jphysiol.1952.sp004764. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Panfilov A, Pertsov A. Mechanism of spiral waves initiation in active media connected with critical curvature phenomenon. Biofizika. 1982;27:886–888. [PubMed] [Google Scholar]
- 26.Pertsov AM, Panfilov AV, Medvedeva FU. Instabilities of autowaves in excitable media associated with critical curvature phenomena. Biofizika. 1983;28:100–102. [PubMed] [Google Scholar]
- 27.Cabo C, Pertsov AM, Baxter WT, Davidenko JM, Gray RA, et al. Wave-front curvature as a cause of slow conduction and block in isolated cardiac muscle. Circ Res. 1994;75:1014–1028. doi: 10.1161/01.res.75.6.1014. [DOI] [PubMed] [Google Scholar]
- 28.Kamkin A, Kiseleva I, Isenberg G, Wagner KD, Gnther J, et al. Cardiac fibroblasts and the mechano-electric feedback mechanism in healthy and diseased hearts. Progress in Biophysics and Molecular Biology. 2003;82:111–120. doi: 10.1016/s0079-6107(03)00009-9. [DOI] [PubMed] [Google Scholar]
- 29.Hoff H, Nahum L. The supernormal period in the mammalian ventricle. Am J Physiol. 1938;124:591–595. [Google Scholar]
- 30.Van Dam RT, Durrer D, Strackee J, Van Der Tweel LH. The excitability cycle of the dog's left ventricle determined by anodal, cathodal, and bipolar stimulation. Circ Res. 1956;4:196–204. doi: 10.1161/01.res.4.2.196. [DOI] [PubMed] [Google Scholar]
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