- Open Access
Regional differences in APD restitution can initiate wavebreak and re-entry in cardiac tissue: A computational study
© Clayton and Taggart; licensee BioMed Central Ltd. 2005
- Received: 15 July 2005
- Accepted: 20 September 2005
- Published: 20 September 2005
Regional differences in action potential duration (APD) restitution in the heart favour arrhythmias, but the mechanism is not well understood.
We simulated a 150 × 150 mm 2D sheet of cardiac ventricular tissue using a simplified computational model. We investigated wavebreak and re-entry initiated by an S1S2S3 stimulus protocol in tissue sheets with two regions, each with different APD restitution. The two regions had a different APD at short diastolic interval (DI), but similar APD at long DI. Simulations were performed twice; once with both regions having steep (slope > 1), and once with both regions having flat (slope < 1) APD restitution.
Wavebreak and re-entry were readily initiated using the S1S2S3 protocol in tissue sheets with two regions having different APD restitution properties. Initiation occurred irrespective of whether the APD restitution slopes were steep or flat. With steep APD restitution, the range of S2S3 intervals resulting in wavebreak increased from 1 ms with S1S2 of 250 ms, to 75 ms (S1S2 180 ms). With flat APD restitution, the range of S2S3 intervals resulting in wavebreak increased from 1 ms (S1S2 250 ms), to 21 ms (S1S2 340 ms) and then 11 ms (S1S2 400 ms).
Regional differences in APD restitution are an arrhythmogenic substrate that can be concealed at normal heart rates. A premature stimulus produces regional differences in repolarisation, and a further premature stimulus can then result in wavebreak and initiate re-entry. This mechanism for initiating re-entry is independent of the steepness of the APD restitution curve.
- Action Potential Duration
- Diastolic Interval
- Arrhythmogenic Substrate
- Restitution Curve
- Stimulus Site
Understanding the mechanisms that initiate and sustain malignant ventricular arrhythmias is an important research problem because ventricular tachycardia and fibrillation (VT and VF) are a notable cause of premature death, and remain an important public health problem in the industrialised world. Recent attention has focussed on restitution, the influence of an abrupt change in cycle length on action potential duration (APD). The dynamic behaviour of APD in response to cycle length changes has been shown in theoretical, experimental and computational studies to be a major determinant of wavefront stability [1, 2]. An APD restitution curve with a slope > 1 can result in the initiation and subsequent instability of re-entrant arrhythmias , although other important mechanisms of initiation and instability have also been identified .
Regional differences in electrophysiological properties are a characteristic finding in the hearts of patients with cardiac pathology. Regional differences in repolarisation are often described as dispersion, and vulnerability to arrhythmias has been shown to depend on dispersion of repolarisation in both experimental [5, 6] and computational studies [7–10]. This conceptual link between dispersion of repolarisation and vulnerability to re-entry may make a tacit assumption that APD dispersion is a static property of the tissue, resulting from underlying heterogeneity in electrophysiology. However, APD is a dynamic property of cardiac tissue, and is reduced at short diastolic interval (DI). The APD restitution curve is a model of the dynamical behaviour of cardiac tissue. One important consequence of this dynamic behaviour is that dispersion of repolarisation can be produced in electrophysiologically homogenous tissue if the DI is spatially non-uniform [11, 12], resulting in alternans, wavebreak and re-entry.
Regional differences in both static and dynamic APD are a property of normal cardiac tissue. Regional differences in APD restitution have been documented, both at different locations within the ventricular wall [13–15], between left and right ventricle , and in chronically ischaemic hearts . Experimental optical mapping of the ventricular epicardial surface has shown that regional differences in APD restitution can be exposed by a closely coupled premature stimulus , and that dispersion of repolarisation produced in this way increases vulnerability to VF [16, 19, 20].
The behaviour of cardiac tissue with regional differences in APD restitution has not been studied in detail. The novel aspect of this study was therefore to examine the idealised situation shown in Figure 1, and to investigate how wavebreak and re-entry can be produced in tissue with regional differences in APD restitution. A wider aim of this study was to assess whether vulnerability to arrhythmias could be predicted from knowledge of the APD restitution properties of the tissue in a particular heart. Computational models of cardiac tissue are becoming a valuable experimental tool for testing and proposing hypotheses because tight control over tissue geometry and electrophysiology enables some problems to be dissected into their component parts. We therefore used a simplified computational model of cardiac tissue in which the APD restitution of R1 and R2 could be varied in a controlled manner.
We simulated action potential propagation in a 2D sheet of isotropic cardiac tissue with membrane voltage V m described by the monodomain equation
Parameter values for each variant of the 3-variable model
t v +
t v1 -
t v2 -
t w +
t w -
u c si
We solved the FK equations using a simple explicit Euler scheme, and the nonlinear diffusion equation using a forward time centre space finite difference method with a time step (Δt) of 0.1 ms, a space step (Δ) of 0.25 mm and no-flux boundary conditions at each edge. The specific membrane capacitance was set to 1 μF cm-2, and the diffusion coefficient set to 0.1 mm2 ms-1.
Tissue geometry and stimulus protocol
We examined the initiation of re-entry in 150 × 150 mm 2D tissues with R1 and R2 allocated the steep APD restitution variants Steep1 and Steep2 respectively, and with square and circle configurations of R1. We then repeated the study with R1 and R2 allocated the flat restitution variants Flat1 and Flat2 respectively. For the square configuration, region R1 was defined for x <nx/2 and ny/4 <y <3ny/4, with region R2 elsewhere. This arrangement corresponded to the idealised geometry shown in Figure 1. In the circle configuration we sought to simulate a more physiologically plausible arrangement, and so we allocated R1 to a circular region located in the centre of the tissue, with a radius of 12.5, 25, or 50 mm.
Each tissue sheet was stimulated along its bottom edge (y = 0) by raising the bottom 0.5 mm of tissue above threshold for 2 ms with an S1 S2 S3 stimulation protocol. The initial conditions for the model were imposed as described above to correspond to the state of the model following a period of steady pacing at a long (≥ 500 ms) cycle length. S1 was delivered at the beginning of the simulation, and the S2 S3 interval was varied in steps of 1 ms.
APD and CV restitution
The APD and CV restitution curves for each variant of the model were measured from a thin strip of uniform tissue 75 mm long. Four S1 stimuli were given to one end of the tissue at 500 ms intervals, followed by a premature S2 stimulus. The S1S2 interval was reduced until a propagating action potential could not be elicited. APD was measured to 90% repolarisation; so all measurements of APD in this paper correspond to APD90. We measured DI and APD in the centre of the strip. We also measured the time difference between the action potential upstroke at the stimulus site and the action potential upstroke in the centre of the strip, and used this information to calculate CV restitution. This method underestimates CV slightly, due to the action of the stimulus with the tissue edge.
APD and CV restitution
Wavebreak and re-entry
Figure 3(a) shows four snapshots of the distribution of membrane voltage within the tissue at different times after the S3 stimulus. The action potentials initiated by each stimulus propagated from the bottom to the top of the virtual tissue; hence the first panel of Figure 3(a) shows action potentials elicited by each of the S1, S2, and S3 stimuli propagating from bottom to top as indicated by the arrows. The dotted grey line indicates the boundary between regions R1 and R2. The S2 action potential has a longer APD in R1 compared to R2, and this results in block of the S3 action potential close to the bottom edge of R1 and the development of wavebreak and then a re-entrant spiral wave, shown in subsequent panels of Figure 3(a).
The two stars in each panel of Figure 3(a) indicate points from which simulated transmembrane potentials were recorded from the model, and the time series of these are shown in Figure 3(b). The top trace shows the recording from R1 and the bottom trace the recording from R2. The APD restitution of each region is shown in Figure 3(c). The first (S1) action potential elicited APDs of 139 and 142 ms in R1 and R2 respectively, corresponding to the flat regions of the restitution curves in Figure 2. The second (S2) action potential had a DI (DI S1S2 ) of 58 and 61 ms in R1 and R2, and the resulting APDs were 120 and 61 ms respectively as indicated by the dashed lines in Figure 3(c). The third (S3) stimulus was delivered 120 ms after the second, and a propagating action potential was initiated in the lower half of the virtual tissue as shown in the first panel of Figure 3(a), with a DI (DI S2S3 ) of 58 ms. Figure 3(b) shows that this action potential arrived at the R1 R2 boundary before repolarisation was complete, and so was blocked. In R2 repolarisation was complete, and so the S3 action potential continued to propagate with a wavebreak at the boundary between R1 and R2.
Additional File 1: Figure4a.mpg Wavebreak and re-entry in the model with steep APD restitution. The S1S2 interval was 200 ms, and the S2S3 interval was 120 ms. Movie of simulation depicted in Figure 4a. (MPG 2 MB)
Additional File 2: Figure4b.mpg Wavebreak and re-entry in the model with flat APD restitution. The S1S2 interval was 350 ms, and the S2S3 interval was 130 ms. Movie of simulation depicted in Figure 4b. (MPG 2 MB)
Size and shape of heterogeneity
The overall behaviour of virtual tissue with a circular region R1 was similar to that of virtual tissues with a rectangular region R1. For an S1 S2 interval of 200 ms, wavebreak and re-entry were initiated when the S2 S3 interval was greater than 101 ms. The upper limit of the S2 S3 interval that resulted in wavebreak was 150 ms for and R1 radius of 12.5 mm, 161 ms for radius 25 mm, and 158 ms for radius 50 mm. This upper limit compared with a value of 161 ms for the square configuration.
Additional File 3: Figure5a.mpg Wavebreak and re-entry in the model with steep APD restitution, and circular R1 with radius 50 mm. The S1S2 interval was 200 ms, and the S2S3 interval was 120 ms. Movie of simulation depicted in Figure 5a. (MPG 2 MB)
Additional File 4: Figure4a.mpg Wavebreak and re-entry in the model with steep APD restitution, and circular R1 with radius 12.5 mm. The S1S2 interval was 200 ms, and the S2S3 interval was 120 ms. Movie of simulation depicted in Figure 5b. (MPG 2 MB)
From these findings we concluded that a circular R1 region behaves in a similar way to a square region, and that the size of the circle is small enough for electrotonic effects to become important. This latter observation is in agreement with other studies that have examined electrotonic effects with static differences in APD [10, 25].
A clue about these differences can be gleaned from Figure 2. Figure 2a–b indicates the difference in APD between each pair of models. For steep APD restitution, large differences in APD were produced over a narrow range of DI, whereas for flat APD restitution, small differences in APD were produced over a wider range of DI. Hence for the model with steep APD restitution, regional differences in APD could be produced only over a narrow range of S1S2 interval. In contrast, the models with shallow APD restitution produced smaller APD differences, but over a longer range of S1 S2 interval.
Figures 2 and 6 therefore highlight the key mechanism by which wavebreak and re-entry were produced by a two-stage mechanism in tissue with regional differences in APD restitution. First, a premature beat produced regional differences in repolarisation. Second, a further premature beat was partially blocked in the regions of prolonged repolarisation. The differences between the APD restitution in each region, and not their slope, determined the dimensions of the vulnerable area.
The broader aim of this study was to assess whether knowledge of restitution properties could be used to predict the vulnerability to re-entry shown in Figure 6. APD and CV restitution are complex properties of cardiac tissue, and the APD and CV of a particular beat are influenced by the pacing history or cardiac memory [26, 27], by electrotonic current within the tissue , and APD may not always be a monotonic function of DI . For the sake of simplicity in the analysis below, this complexity is noted but not included. In this simplified case, the APD of beat n+1 depends only on the preceding DI according to the iterative relation below.
APD n+1 = f(DI n )
DI n = CL n - APD n (2)
Where f(DI) is the APD restitution curve that gives APD as a function of DI. For the S1 S2 S3 protocol used in this study there are two cycle lengths, CL S1S2 , and CL S2S3 with corresponding diastolic intervals
DI S1S2 = CL S1S2 – APD S1
DI S2S3 = CL S2S3 – f (CL S1S2 – APD S1 ) (3)
The second diastolic interval DI S2S3 depends on APD S2 , which can be calculated from the APD restitution curve. The third (S3) beat will be blocked if DI S2S3 is less than DI min , where DI min is the shortest DI that results in a propagating beat. If we consider tissue with regions R1 and R2 as shown in Figure 1, and ignore the effects of CV restitution, then the S3 action potential will be blocked in region R1 if
and in region R2 if
For re-entry to be initiated, we require block in region R1, and propagation in region R2. This condition produces a wavebreak, and is fulfilled if
Based on this analysis, if the APD restitution in regions R1 and R2 is identical, then re-entry cannot be initiated with this stimulus protocol. This is reflected in equation (6), where the range of CL S2S3 that result in re-entry is zero if both sides of the inequality are equal. Another consequence of this analysis is that wavebreak will only occur if the left hand side of equation 6 is less than the right hand side, so APD restitution must produce a longer APD in R1 than in R2 for short DI. Our final observation from this equation is that there is no requirement that the slope of any of the restitution curves should be >1, and this is supported by our findings shown in Figure 6.
Although the CV restitution of the models only exerts an effect at short DI (Figure 2), we hypothesised that conduction delays associated with CV restitution accounted for the difference between the predicted and observed upper bound, and we modified equation 4 accordingly.
The delays in this equation result from CV restitution, and depend on the distance between the stimulus site and the border of the heterogeneity. We measured these time delays for combinations of CL S1S2 and CL S2S3 that resulted in propagation of the S3 action potential, and hence corresponded to the upper bound of vulnerability. The first delay delay S1S2 was small except for values of CL S1S2 close to the lower limit, by the second delay delay S2S3 , and these delays are plotted for steep and flat restitution in Figure 7(b) and Figure 7(d) respectively. These plots show evidence of very slow conduction in the border zone between R1 and R2. For a shorter CL S2S3 , the S3 action potential was blocked in R2 close to the point of slowest conduction, at around 47.5 mm, indicated by a black arrow on Figures 7(b) and 7(d). We fitted a polynomial to the measurements of delay S2S3 at this distance to estimate delay S2S3 for the upper bound of vulnerability as a function of CL S1S2 . This estimate, together with measurements of delay S1S2 enabled us to plot equation 7, and this is shown as a solid red line on Figures 7(a) and 7(c). This modified prediction of the upper bound provides a much better fit to the measurements. It is likely that electrotonic interaction, and errors in the polynomial fit could account for the remaining differences.
Thus our analysis of these results shows that information about both APD and CV restitution are necessary to predict the vulnerability of tissue with heterogenous APD restitution. The effect of CV restitution is to introduce delays that reduce vulnerability, and these delays depend on the distance between the stimulus site and the border of the heterogeneity. This dependence was investigated for a model of tissue with a static APD heterogeneity by Panfilov and Vasiev, who showed that the width of the vulnerable period decreases monotonically with increasing distance between stimulus site and border of the heterogeneity .
The novel finding of this study is that regional differences in APD restitution can act as a potent arrhythmogenic substrate by producing rate dependent regional differences in repolarisation. These regional differences may be concealed at normal heart rates, but exposed by a premature beat. A further premature beat can then be partially blocked by regions of refractory tissue, resulting in wavebreak and re-entry. This finding is important because the exact mechanism by which re-entry and VF are initiated in the human heart remains unclear. As a consequence, it is difficult to identify with precision those patients who are at risk of sudden cardiac death.
The arrhythmogenic effects of regional differences in repolarisation have been studied both experimentally [5, 6] and with an early computational model . Regions with longer refractory periods can block a premature stimulus, resulting in re-entry, and a recent computational study has examined this mechanism in detail . In this study, regional differences in repolarisation were presumed to be a static feature resulting from regional pathology. Winfree  showed that the interaction of a premature beat with repolarising tissue was another mechanism capable of initiating re-entry, and this idea was later verified experimentally . This approach was significant because it explained how re-entry could be initiated in normal, electrically uniform tissue. Another mechanism capable of producing re-entry in uniform tissue depends on APD and CV restitution. Steep restitution can produce spatial and/or temporal APD alternans leading to wavebreak and unstable re-entry [12, 30].
VF and other re-entrant arrhythmias are, however, more prevalent in hearts that are affected by disease processes that augment electrical heterogeneity. For example, regional ischaemia is an effective arrhythmogenic substrate and a recent experimental study has shown that it produces regional differences in APD restitution . Our present study builds on this and other experimental work [18, 19].
The key arrhythmogenic mechanism we have investigated is exposure of regional differences in repolarisation by a closely coupled stimulus, followed by regional block of a further closely coupled premature beat. There is no general requirement that for the slopes of the APD restitution curves to be steep, and we have shown that this mechanism produces wavebreak for both steep (slope>1) and shallow (slope < 1) APD restitution. However, the relative steepness of the APD restitution curve in each region is important, as described below.
Importance of stimulus sites
For the sake of clarity all three stimuli were delivered from the same site in our simulations. In this scheme (Figure 1) it was important that the R1 region(s) distal to the stimulus site should have steeper APD restitution than the surrounding R2 tissue, so that the S3 beat was not blocked close to the stimulus site. Other schemes are of course possible, and in real tissue the normal and premature beats may originate from two or more different sites. This would modify the detail of the mechanism we have described, but the core idea would remain the same.
For example, if the R1 region had shallower APD restitution than the R2 region, then delivery of the S1 and S2 stimuli from within R2 would result in a long APD in R2 but a short APD in R1. Thus if the S3 beat originated in R2, it would either propagate normally with a short APD in R1, or be blocked in R2. However, if the S3 beat was to originate in R1, it could be blocked by the longer repolarisation in R2 while propagating in R1, forming a wavebreak and initiating re-entry. More simulations would clarify this, but are beyond the scope of the current study.
The simulations in the present study have considered only two regions, R1 and R2, but the overall mechanism is also applicable to tissue with multiple regions with regional differences in APD restitution. Our findings also indicate that the shape of the different regions has a small effect on the initiation of wavebreak and re-entry, but our results for the circular heterogeneity indicate that the size of the regions is important. In a previous computational study we have shown that both size and cell-to-cell coupling determine the potency of static arrhythmogenic heterogeneities, presumably through electrotonic current flow within the tissue . Figure 5 suggests that electrotonic current flow is also important for dynamically induced heterogeneity, and smaller regions produce transient wavebreak but do not support sustained re-entry.
Effect of CV restitution
This paper has focussed on APD restitution rather than CV restitution. The four variants of the cell membrane model used in this study possessed almost identical CV restitution (Figure 2), with significant conduction delays only becoming evident at short DI. However, the analysis given above and detailed in Figure 7 indicates that both APD and CV restitution are important in determining whether wavebreak and re-entry will occur for a given stimulus sequence. This effect is greater for longer S1S2 intervals since APD S2 is longer in both R1 and R2, DI S1S2 is shorter in R1 and R2, and hence the S3 beat is more delayed. A greater delay to the S3 beat at the boundary between R1 and R2 offers more time for the tissue in R1 to repolarise, and reduces the incidence of block. This delay therefore underlies the reduction in the vulnerable region, and explains the overestimation of the vulnerable region by equation 6.
Regional differences in CV restitution as well as APD restitution would add an additional layer of complexity to the behaviours documented here, but this detailed analysis is outside the scope of this discussion.
A quantitative assessment of vulnerability resulting from regional differences in APD restitution would be a valuable clinical tool. These differences would be exposed as regional differences in repolarisation when the heart is paced at short cycle lengths. A recent computational study has shown that regional differences in repolarisation produce distinctive changes in T wave shape on the electrocardiogram . We would expect that regional differences in APD restitution would produce characteristic rate-dependent changes in T wave shape.
Our preliminary efforts described above and shown in Figure 7 however, suggest that although it may be possible to identify patients at risk using this type of approach, it may be difficult to estimate the extent of vulnerability. The main reason for this is the effect of conduction delays arising from CV restitution. Although the CV restitution curve for a region of tissue may be well characterised, the delays affecting a particular premature beat depend on the spatial relationship between R1, R2, and the stimulus site(s). The effect of CV restitution delays is to prolong the DI between two closely coupled beats, and the extent of the delay depends on the distance between the stimulus site and the recording site . Hence without detailed knowledge of the spatial relationship between regions with altered APD restitution and the site of origin of premature beats, it may be difficult to predict the size of the vulnerable region.
This study has several limitations. We used a greatly simplified computational model to represent the dynamical behaviour of tissue, which does not describe the details of current flow through ion channels, pumps, and exchangers in the cell membrane, and it does not attempt to include the effects of intracellular Ca2+ storage and release. Neither does it include the effects of cardiac memory. However, the model does capture the APD and CV restitution of real cells and tissue, and it is these dynamical features that are relevant for the mechanism that was explored in this study. For the sake of simplicity and clarity, we also simulated isotropic 2D sheets with abrupt changes in APD restitution between different regions, yet real ventricular tissue is both anisotropic and 3-dimensional, and spatial changes in APD restitution are likely to be gradual. We only investigated tissues with a limited range of restitution curves. All of these limitations arose from a desire to minimise the computational demands of the study.
In this study we assumed that the APD restitution of ventricular tissue could be described by a monotonic curve where APD depends solely on the preceding DI. However, APD restitution curves recorded from human hearts may have a more complex shape . In addition, there is substantial evidence to suggest that APD restitution may itself be dynamic, and depend on the stimulus history and not simply on the preceding DI [26, 32].
Further work with biophysically detailed models of the cardiac cell membrane, a wider range of restitution characteristics, and models of anisotropic 3D tissue will be needed to establish fully the extent to which the findings presented here could be relevant in real cardiac tissue.
This study has some important clinical implications. In the human heart, APD restitution is flattened in ischaemia , and steepened by adrenergic agents , suggesting that inhomogeneous sympathetic innervation as a result of nerve sprouting may generate heterogenous APD restitution. Cardiac drugs can also decrease APD restitution slope [2, 35]. Evidence from isolated myocytes and tissue preparations also suggest that there are transmural differences in APD restitution , and these could act together with the mechanisms described above. These effects could in turn be further modified by additional factors including regional stretch, hypertrophy, and regional remodelling. Detailed experimental and clinical studies are now needed to establish precisely the relative importance of these factors for the arrhythmogenic substrate.
This study used a simplified computational model of cardiac tissue to test the idea that regional differences in APD restitution can be a potent substrate for initiating re-entrant arrhythmias. These regional differences can be concealed at normal heart rates. A two-stage process can produce wavebreak and re-entry. First, regional differences in repolarisation can be produced by a premature beat, and second, these regional differences can then interact with a further premature beat, resulting in wavebreak and re-entry through the well-established mechanism of conduction block. Since the determinant of wavebreak is independent of APD restitution slope, we found that re-entry could be produced in simulated tissue with both steep (slope > 1) and flat (slope < 1) APD restitution.
The 3-variable Fenton Karma model has three currents, two inward (depolarising) currents corresponding broadly to Na+ and Ca2+ currents, and a slow outward (repolarising) current corresponding to K+ currents. The membrane voltage V m was scaled with the resting potential V 0 and the Nernst potential of the fast inward current V fi to give a dimensionless activation variable u that varies between 0 and 1 where
Setting C m to 1 μF mm-2, the equations of the model were
The currents J fi , J si and J so had units of ms-1 and were given by
Where Θ denotes the Heaviside step function and Θ(x) is equal to 1 for x ≥ 0 and 0 for x <0.
This work was supported by the British Heart Foundation through the award of project grant PG/03/102/15852 to RHC. Computations were done on machines in the Computational Biology Laboratory at the University of Leeds, and we are grateful to Professor Arun Holden for making this facility available. We would also like to thank Flavio Fenton for helpful discussions.
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