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Experimental Physiology 91.2 pp 339-354
DOI: 10.1113/expphysiol.2005.031070
© The Physiological Society 2006
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Themed Issue Papers

Modelling of Biological Systems

Whole heart action potential duration restitution properties in cardiac patients: a combined clinical and modelling study

Martyn P. Nash1, Chris P. Bradley2, Peter M. Sutton3, Richard H. Clayton4, Panny Kallis3, Martin P. Hayward3, David J. Paterson2 and Peter Taggart3

1 Bioengineering Institute and Engineering Science, University of Auckland, New Zealand2 Burdon Sanderson Cardiac Science Centre, Department of Physiology, Anatomy & Genetics, University of Oxford, UK3 Departments of Cardiology and Cardiothoracic Surgery, University College Hospital, London, UK4 Department of Computer Science, University of Sheffield, UK


    Abstract
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Steep action potential duration (APD) restitution has been shown to facilitate wavebreak and ventricular fibrillation. The global APD restitution properties in cardiac patients are unknown. We report a combined clinical electrophysiology and computer modelling study to: (1) determine global APD restitution properties in cardiac patients; and (2) examine the interaction of the observed APD restitution with known arrhythmia mechanisms. In 14 patients aged 52–85 years undergoing routine cardiac surgery, 256 electrode epicardial mapping was performed. Activation–recovery intervals (ARI; a surrogate for APD) were recorded over the entire ventricular surface. Mono-exponential restitution curves were constructed for each electrode site using a standard S1–S2 pacing protocol. The median maximum restitution slope was 0.91, with 27% of all electrode sites with slopes < 0.5, 29% between 0.5 and 1.0, and 20% between 1.0 and 1.5. Eleven per cent of restitution curves maintained slope > 1 over a range of diastolic intervals of at least 30 ms; and 0.3% for at least 50 ms. Activation–recovery interval restitution was spatially heterogeneous, showing regional organization with multiple discrete areas of steep and shallow slope. We used a simplified computer model of 2-D cardiac tissue to investigate how heterogeneous APD restitution can influence vulnerability to, and stability of re-entry. Our model showed that heterogeneity of restitution can act as a potent arrhythmogenic substrate, as well as influencing the stability of re-entrant arrhythmias. Global epicardial mapping in humans showed that APD restitution slopes were organized into regions of shallow and steep slopes. This heterogeneous organization of restitution may provide a substrate for arrhythmia.

(Received 31 October 2005; accepted after revision 10 January 2006; first published online 1 February 2006)
Corresponding author P. Taggart: Departments of Cardiology and Cardiothoracic Surgery, University College Hospital, 16–18 Westmoreland Street, London W1G 8PH, UK. Email: peter.taggart{at}uclh.nhs.uk


    Introduction
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Sudden cardiac death due to arrhythmia continues to pose a major health problem. Despite substantial progress, the results of pharmacological intervention have so far proved disappointing (Anon, 1992; Tan, 1996). This may be due in part to the paucity of information presently available on the relevant basic electrophysiology of the human heart in situ. The acquisition of such data is of necessity limited by constraints inherent in studies in humans. However, interpretation may be enhanced by combining such studies with computer modelling. We report studies in patients with heart disease in which we have characterized basic electrophysiological properties known to be relevant to arrhythmogenesis, together with a preliminary study using a computational model of 2-D cardiac tissue in which we have tested how these properties may interact with mechanisms of arrhythmogenesis.

The spatial dispersion of action potential duration (APD) is known to play a major role in arrhythmogenesis (Han & Moe, 1964; Kuo et al. 1983; Sampson & Henriquez, 2001; Xie et al. 2001a). Several disease processes are commonly associated with increased spatial dispersion of repolarization, including coronary artery disease and ventricular hypertrophy (Janse & Wit, 1989). Recent attention has focused on the dynamic modulation of APD by an abrupt change in cycle length referred to as restitution (Boyett & Jewell, 1978). When the restitution curve relating APD to the preceding diastolic interval (DI) has a steep slope (i.e. greater than unity), successive changes in cycle length at a fast rate may induce oscillations in APD (Nolasco & Dahlen, 1968). It has been shown experimentally that steep APD restitution may facilitate wavebreak and fibrillation (Karma, 1994; Gilmour & Chialvo, 1999; Weiss et al. 1999), whereas reducing the slope may prevent or terminate fibrillation (Garfinkel et al. 2000). Whether restitution in the human heart is steep enough to sustain multiple wavebreak mechanisms of ventricular fibrillation (VF) has been questioned on the basis of the available data, which have been limited to a small number of single or paired site recordings (Franz et al. 1988; Morgan et al. 1992; Taggart et al. 2003).

In addition to the steepness of the APD restitution curve, spatial heterogeneity of restitution slopes is thought to be important (Laurita et al. 1996, 1998; Sampson & Henriquez, 2001; Xie et al. 2001a; Banville & Gray, 2002; Fenton et al. 2002) through several mechanisms, including the promotion of the coexistence of multiple spiral waves (Xie et al. 2001b), enhancment of oscillations of refractoriness (Watanabe et al. 2001) and creation of discordant alternans (Laurita et al. 1996; Pastore et al. 1999). Discordant alternans occurs when the steep portion of the restitution curves in adjacent regions cross, resulting in a reversal of voltage gradient on alternate beats. Calcium cycling and cellular calcium accumulation have been shown to modulate APD restitution and alternans, so regional heterogeneities of calcium dynamics are likely to be important (Goldhaber et al. 2005). However, the spatial dispersion of APD restitution in humans is at present unknown and usually assumes homogeneous restitution or a smooth apex-to-base gradient, as present in some animal models (Rosenbaum et al. 1991; Laurita et al. 1996). Our unpublished pilot observations in humans have suggested that restitution may be markedly heterogeneous, which underlines the need for global assessment of restitution properties in typical patient groups. Subsequent to these pilot studies, a recent modelling study has provided further theoretical evidence that heterogeneous restitution can form a potent arrhythmogenic substrate (Clayton & Taggart, 2005).


    Methods
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Patients

We studied 14 patients aged 52–85 years (mean 67; 11 males) undergoing routine cardiac surgical procedures. The study was approved by the local hospital ethics committee, and written informed consent was obtained from all patients prior to the study. The protocols comply with the Declaration of Helsinki. Individual patient details are given in Tables 1 and 2. Eight patients were undergoing graft procedures for coronary artery disease. Six patients were undergoing replacement surgery for aortic valve disease and had no haemodynamically significant coronary artery disease (defined as greater than 50% stenosis in any one major vessel). The patient groups were at low risk of ventricular tachycardia (VT)/VF (Sanders et al. 2005); none had a history of arrhythmia or syncopal episodes; left ventricular ejection fraction was normal in all patients; and only two subjects had previous myocardial infarction. Routine medication was continued until approximately 15 h prior to surgery.


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Table 1. Patient characteristics
 

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Table 2. Additional data for AVD patients
 
Electrical imaging

Following cannulation for cardiopulmonary bypass (but prior to its commencement), a sock containing 256 unipolar contact electrodes (interelectrode spacing approximately 10 mm) spanning the entire left and right ventricles was fitted over the epicardium. As previously described (Nash et al. 2001, 2003), unipolar epicardial electrograms were sampled at 1 kHz using a UnEmap system (Auckland UniServices Ltd, New Zealand), and conventional signal analysis techniques were used to obtain epicardial activation–recovery intervals (ARI) as a surrogate for APD (Haws & Lux, 1990). Bipolar ventricular pacing was established from two sock electrodes at twice diastolic threshold using a 2 ms pulse duration. A basic cycle length (BCL) of 600 ms was chosen when possible (9 patients), but in five patients a shorter basic cycle (between 450 and 550 ms) was necessary to ensure capture, owing to a faster intrinsic heart rate. The pacing sites were: coronary artery disease (CAD), 4 mid-left ventricle (LV), 2 mid-LV/right ventricle (RV) border, 1 mid-RV, 1 apex; and aortic valve disease (AVD), 4 mid-LV, 2 apex. Following each train of nine steady-state S1 stimuli at the BCL, a shorter interval S2 stimulus was interposed. The S1–S2 interval was decremented by 50 ms steps to 400 ms; then by 20 ms steps to 340 ms; and then by 5 ms intervals until loss of ventricular capture.

Estimating APD restitution using ARI

The ARI is an established (Haws & Lux, 1990) and now widely used surrogate for APD and APD restitution. In pilot studies (unpublished observations), we compared restitution curves obtained using monophasic action potential (MAP) and ARI recordings from the same epicardial site in humans, which confirmed the applicability of the technique in the setting of patients undergoing cardiac surgery. A recent study using non-contact mapping of the endocardium in humans (Yue et al. 2004) has shown that for complexes with upright T waves, a closer correlation was obtained between ARI and MAP duration (measured at 90% repolarization) when ARI was measured to the steepest downstroke of the T wave (‘alternative method’), rather than the standard (Wyatt) method of measuring the ARI to the steepest upstroke of the T wave (Haws & Lux, 1990). We compared ARIs and restitution curves computed using the standard method against the alternative method. The alternative method yielded ARI values that were longer by 74 ± 10 ms (mean ±S.D.), but exerted only minimal influence on the resulting restitution slopes and spatial distributions of restitution properties (data not shown). The standard (Wyatt) method of calculating ARI was used throughout the present study.

Restitution analysis

Only signals with good quality signal-to-noise ratios were accepted. From the 256 electrode sites, good quality electrograms suitable for analysis were obtained with an overall mean ±S.D. of 206 ± 45 signals per patient. Standard restitution curves for ARI versus DI were constructed for each individual electrode site using a least-squares fit to the mono-exponential function:


Formula

(1)
where the steady-state ARI (ARISS), a and b are the parameters of the fit. Given this relationship, the maximum restitution slope is given by:


Formula

(2)
where DImin is the minimum non-refractory DI. The range of DIs for which the slope is steeper than a specified value (e.g. Scrit= 1) is given by:


Formula

(3)

These quantities are related by:


Formula

(4)
It is noteworthy that a recent study in humans comparing restitution properties obtained using the standard S1–S2 protocol and a dynamic protocol obtained largely similar results (Pak et al. 2004).

Statistical analysis

The statistical model used for analysis throughout this paper was a linear mixed model. The fixed factors were a pathology group (CAD versus AVD), an apex–base group (apex versus base) and a left–right group (LV versus RV). All electrodes were designated as either apical or basal, and either LV or RV, according to their epicardial location. The interactions of pathology*apex–base, pathology*left–right and apex–base*left–right were included in the model only if the main effects were significant. The multiple electrode measurements made for each patient formed the random effect for the analysis. For situations where non-normal data prevented direct application of the linear mixed model, a non-parametric Mann–Whitney U test was used to test for significance of a group. The analysis was performed using the SPSS statistical package (SPSS 13.0 for Windows).

Computational model

We examined the implications of heterogeneous APD restitution for the initiation and stability of re-entrant arrhythmias using a simplified model of 2-D cardiac tissue. Action potential propagation was described by the monodomain equation:


Formula

(5)
where Vm denotes transmembrane voltage, Cm specific membrane capacitance, D a diffusion coefficient, and Iion current flow though the cell membrane per unit area. For simplicity, and to enable us to easily manipulate APD restitution, we chose to use a simplified model of the cardiac cell membrane (to give Iion) as developed by Fenton and Karma. This model has three variables and is described in detail elsewhere (Fenton & Karma, 1998; Clayton & Holden, 2002; Fenton et al. 2002; Clayton & Taggart, 2005). We used the parameter sets given in Table 3 to give two variants of the model designated Steep1 and Steep2, each with different APD restitution.


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Table 2. Parameter values for each variant of the three-variable Fenton–Karma model. Parameters are defined in detail elsewhere (Fenton & Karma, 1998; Clayton & Holden, 2002; Fenton et al. 2002; Clayton & Taggart, 2005)
 
We solved the model equations using a simple explicit Euler scheme, and the non-linear diffusion equation using a forward-time centred-space finite difference method with a time step ({Delta}t) of 0.1 ms, a space step ({Delta}x) of 0.25 mm, and no-flux boundary conditions at each external edge. The specific membrane capacitance was set to 1 µF cm–2, and the diffusion coefficient set to 0.1 mm2 ms–1. We observed only small (< 1%) changes in conduction velocity for time steps of 0.8 and 0.12 ms, indicating that the numerical scheme was stable.

We examined the initiation and stability of re-entry in several 150 x 150 mm 2-D tissue models, each with a circular region at the centre being assigned Steep2 restitution, and the surrounding tissue assigned Steep1 restitution. The circular region was varied in size by setting the radius to 12.5, 25 or 50 mm. We studied the initiation of re-entry by setting the tissue to a resting state, and pacing from the bottom edge. We studied the stability of re-entry by imposing an Archimedean spiral as the initial condition.


    Results
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Restitution curves

The overall mean ±S.E.M. steady-state ARI was 242 ± 6 ms across all patients. The maximum restitution slopes spanned a wide range. Figure 1A shows the distribution of slopes ranging from shallow to steep. The standard (Wyatt) and alternative methods of determining ARI yielded slope distributions with good overall correspondence (Fig. 1B). The mean ±S.E.M. maximum slope for all patients was 1.1 ± 0.02 (median 0.9, range 0.0–5.6), with 55% of electrodes having slopes below 1, 20% having slopes between 1 and 1.5, and 13% having slopes above 2. A slope that is steep over a greater length of the rising portion of the restitution curve is thought to be more proarrhythmic than a slope of comparable steepness, but that is steep over only a short length of the curve (Qu et al. 1999). We therefore evaluated the range of diastolic intervals over which slopes steeper than 1 remained steeper than 1. For the 45% of electrode sites with slopes steeper than 1, only 11% were maintained steeper than 1 over a DI range of at least 30 ms, and only 0.3% of sites over a DI range of at least 50 ms.


Figure 1
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Figure 1.  Restitution slope distribution
A, the distribution of maximum restitution slopes is shown as the proportion of electrodes with slopes within a series of ranges spanning from shallow restitution (left) to steep restitution (right). Overall, 55% of slopes were less than 1 and 13% above 2. B, distribution of restitution slopes in one patient measured using the standard (Wyatt) method of determining ARI (to the steepest upstroke of the T wave), and by the alternative method (for upright T waves, measured to the steepest downstroke of the T wave), showing a good overall correspondence in the results obtained by the two methods.

 
LV–RV and apex–base comparisons

The mean ±S.E.M. maximum restitution slopes were slightly steeper over the LV (1.19 ± 0.03; median 0.98; range 0.0–5.6) compared to the RV (1.03 ± 0.02; median 0.83; range 0.0–5.03), as illustrated in Fig. 2A. The distribution of restitution slopes was non-normal (as shown in Fig. 1), so standard statistical tests could not be applied. However, a non-parametric test showed a significant difference in the restitution slope between the LV and RV (P < 0.001 non-parametric). Apex and base slopes were relatively similar in magnitude, i.e. apex 1.12 ± 0.02 (median 0.94; range 0.0–5.54) compared to the base 1.10 ± 0.03 (median 0.84; range 0.0–5.6; P < 0.01 non-parametric).


Figure 2
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Figure 2.  Restitution properties by region and pathology
A The mean maximum restitution slope calculated over all LV electrodes was steeper than that for all RV electrodes (P < 0.001 non-parametric). B Mean restitution slopes for the CAD and AVD patients showing flatter restitution in the CAD patients (P < 0.001 non-parametric). C The amplitude of the restitution curves was measured as the range of ARIs between the minimum S2 value and the S2 value at an S1-S2 coupling interval of 400 ms, as illustrated by the dashed lines in the schematic (right). The mean restitution amplitude was shallower for the CAD group compared to the AVD group (P < 0.05). AVD: aortic valve disease group; CAD: coronary artery disease group. Error bars show standard errors.

 
Comparison of CAD and AVD patient groups

Restitution was shallower in the CAD group compared to the AVD group (Fig. 2B). The overall mean ±S.E.M. slopes were: CAD 1.0 ± 0.02 (median 0.83, range 0.0–4.88); and AVD 1.2 ± 0.03 (median 0.96, range 0.0–5.7; P < 0.001 non-parametric). The amplitude of the restitution curve was measured as the range of ARIs between that at the shortest non-refractory S1–S2 coupling interval, and the ARI at an S1–S2 interval of 400 ms (see Fig. 2C). Again consistent with flatter restitution in the CAD patients, the restitution amplitude was substantially lower in this patient group compared to the AVD patients (CAD 38 ± 5 ms; AVD 56 ± 6 ms; P < 0.05).

Spatial organization of restitution

The spatial distribution of the maximum restitution slope in the patients we studied was heterogeneous. The distribution was not random, but exhibited regional organization, resulting in multiple gradients over the epicardium between areas of steep slope and areas of shallower slope (Fig. 3). Figure 3A shows examples from four patients, illustrating the wide range of restitution slopes and the juxtaposition of large areas of steep slopes with areas of shallower slopes. These regions of different slope were separated by spatial gradients, which are illustrated in Fig. 3B with contours of equal slope. A similar pattern pertains with regard to the portion of the restitution curve over which a steep curve remains steep before flattening to approach its asymptote (see inset in Fig. 3B). This parameter (so-called ‘DI range’, quantifying the range of diastolic intervals over which the restitution slope is > 1), was also regionally organized with a similar spatial pattern to the associated maximum restitution slope distribution. This was expected, given the mathematical relationship between DI range and maximum slope as detailed in the Methods section (Equation (4)).


Figure 3
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Figure 3.  Case studies illustrating spatial heterogeneities of restitution properties
A, case studies from four patients, two with aortic valve disease (AVD) and two with coronary artery disease (CAD), illustrating the heterogeneity of maximum restitution slope within and between patients. B, spatial organization of maximum restitution slope (left) and range of diastolic intervals (DI range; see inset for definition) for which restitution slope was greater than 1 (right) in two patients, illustrating the regional heterogeneity within patients and between patients. Data are illustrated using a 3-D representation of the ventricular epicardial surface, and the extrema of the blue–white–red spectra are indicated separately for each map (blue, minimum; red, maximum). The inset demonstrates the calculation of the DI range for each electrode site.

 
Examples of restitution gradients are illustrated in Figs 4 and 5. Figure 4 illustrates a grouping of restitution curves spanning an area of approximately 5 cm x 5 cm, in which there was a central region of relatively steep restitution, with gradients of progressively flatter restitution towards the periphery. Figure 5 shows a region in a different patient, illustrating the opposite pattern. In this case, the central zone had relatively flat restitution and was surrounded by steeper restitution towards the periphery.


Figure 4
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Figure 4.  Spatial gradients of restitution with a central region of shallow slope
A, a fitted restitution curve from the centre of a region of steep restitution. B, restitution curves for neighbouring electrodes along the two directions indicated on the ventricular epicardial polar plot in (C), illustrating the progression from shallow restitution at the periphery to steep restitution at the centre of the posterior-RV myocardium. The maximum restitution slope is indicated for each curve.

 

Figure 5
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Figure 5.  Spatial gradients of restitution with a central region of steep slope
A, a fitted restitution curve from the centre of a region of shallow restitution. B, restitution curves for neighbouring electrodes along the two directions indicated on the ventricular epicardial polar plot in (C), illustrating the progression from shallow restitution at the periphery to steep restitution at the centre of the LV. The maximum restitution slope is indicated for each curve.

 
ARI dispersion

As a measure of ARI dispersion, the coefficient of variation (COV = standard deviation as a percentage of the mean) was found to be substantially greater at shorter DIs (Fig 6A). Similar results in animal models have been attributed to the shape of the restitution curve. To investigate this notion, ARIs following short diastolic intervals in the range of 0–100 ms were subdivided according to the steepness of their restitution curves. A positive correlation with a regression coefficient of 2.44 ± 0.56 (P < 0.001) was present between dispersion of repolarization (COV of ARI) and the steepness of the restitution slope (Fig. 6B).


Figure 6
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Figure 6.  Relationship between ARI dispersion and restitution
A, dispersion of activation–recovery intervals (ARI), estimated using the coefficient of variation (COV), was greater at short cycle lengths in the range of diastolic intervals (DIs) of 0–100 and 100–200 ms compared to that at longer DIs of 200–300 and 300–400 ms. B, plot of ARI dispersion (COV) maximum restitution slope showing a positive linear relation between the steepness of the slope and dispersion of ARIs.

 
Computational model

The model geometry, APD and conduction velocity (CV) restitution for each model variant are shown in Fig. 7. In this study, we investigated the potential arrhythmogenic influence of a region of steep APD restitution (Steep2, relatively long APD at short DI) located within a region of shallower APD restitution (Steep1, relatively short APD at short DI). We found that we could readily initiate wavebreak and re-entry in this model with an S1–S2–S3 stimulus protocol (see Fig. 8) and with this combination of restitution properties. Using an S1–S2 interval of 200 ms, we were able to initiate wavebreak and re-entry for S2–S3 intervals of between 102 and 158 ms for a radius of 50 mm, and between 102 and 153 ms for a radius of 12.5 mm. Figure 8 shows an illustrative example for a radius of 50 mm, an S1–S2 interval of 200 ms, and an S2–S3 interval of 120 ms.


Figure 7
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Figure 7.  Properties of the model
APD (A) and CV restitution (B) measured in a thin strip of uniform tissue, for each variant of the model. C, geometrical arrangement of the model. We simulated action potential propagation in a 2-D tissue sheet, with a stimulus electrode located along the bottom edge. Within the sheet was a circular region with radius R (50, 25 and 12.5 mm), which was allocated different APD restitution properties from the surrounding tissue.

 

Figure 8
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Figure 8.  Example of wavebreak and re-entry
A, snapshots showing distributions of membrane potential in the model 400, 500, 600 and 700 ms after delivery of S1 stimulus. The S1–S2 interval was 200 ms, and the S2–S3 interval was 120 ms. Resting tissue is coloured black, and the greyscale shows the extent of tissue depolarization. Dotted grey lines enclose the region with Steep2 restitution, and direction of propagation is from bottom to top of each snapshot, as indicated by grey arrows. B, APD restitution curves for each region. Dashed lines show the APD of the S2 action potential in each region. C, recordings of membrane potential from sites located in each region. See text for details.

 
Figure 8A shows a sequence of snapshots during pacing of the model tissue with an S1–S2–S3 protocol. Each snapshot shows the transmembrane voltage encoded as a greyscale with depolarized regions in white and repolarized regions in black. The tissue inside the dashed grey circle was assigned Steep2 restitution, whilst the surrounding tissue was assigned Steep1 restitution. Stimuli were given along the bottom edge of the model, and initiated propagating action potentials. The first snapshot shows these action potentials 400 ms after the S1 stimulus was given. By this time the S1 action potential has propagated to the top of the simulated tissue. The S2 stimulus was closely coupled, and the action potential was prolonged in the circular region with Steep2 restitution. Figure 8B shows the APD restitution data for these two regions. The dashed lines in Fig. 8B indicate the APD of the action potentials elicited in each region by the S2 stimulus. Figure 8C shows the action potentials elicited in the Steep2 (top trace) and Steep1 regions (bottom trace). The relatively long action potential in the Steep2 region results in block of the S3 action potential, and this leads to wavebreak and ultimately to spiral wave re-entry. In a comprehensive study of the initiation of wavebreak and re-entry by this mechanism (Clayton & Taggart, 2005), we found a wide range of S1–S2–S3 intervals that could initiate re-entry in this type of model, with different configurations of heterogeneity. We also found that this mechanism resulted in wavebreak for models with steep (slope > 1) and shallow (slope < 1) APD restitution.

Heterogeneous APD restitution may also play a role in the stability of arrhythmias, as well as their initiation (an illustrative example is shown in Fig. 9). Both Steep1 and Steep2 variants of our model had steep (slope > 1) APD restitution, and the Steep1 variant was associated with unstable re-entry, consistent with the restitution hypothesis (Fig. 9A). However, although the Steep2 variant possessed steep APD restitution at very short DI, the DI range for steep slopes was substantially smaller than the Steep1 variant. Thus, during re-entry, curvature effects prevented these values of DI from being achieved, and so re-entry was stable despite the steep APD restitution (Fig. 9B).


Figure 9
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Figure 9.  Snapshots showing stability of re-entry in both uniform and heterogeneous tissue
The greyscale in each snapshot is the same as in Fig. 8. A, unstable re-entry in a uniform model with Steep1 restitution. B, stable re-entry in a uniform model with Steep2 restitution. C, unstable re-entry in heterogeneous tissue with a large region (R= 50 mm) of Steep1 restitution enclosed by tissue with Steep2 restitution. D, stable re-entry in heterogeneous tissue with a smaller region (R= 12.5 mm) of Steep1 restitution enclosed by tissue with Steep2 restitution.

 
We found that re-entry in our model of heterogeneous APD restitution was unstable if the tip of the re-entrant wave moved into a region described by Steep1 APD restitution, provided that this region was large enough for the instability to develop. Figure 9C shows an example where the circular region had Steep1 APD restitution with a radius of 50 mm, and the rest of the tissue had Steep2 restitution. Initiation of a re-entrant wave with its tip located at the centre of this region resulted in instability as shown. Reducing the radius of the region with Steep1 restitution from 50 to 12.5 mm prevented the instability from developing, as shown in Fig. 9D.


    Discussion
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Multi-electrode mapping of ARIs over the entire left and right ventricular epicardium was performed in cardiac patients in order to characterize the global APD restitution properties. Our findings are consistent with those of Yue et al. (2005) for the human endocardium, but differ from other reported models in that restitution was neither homogeneous nor were smooth apex-to-base gradients present. Our findings also agree with those of Yue et al. (2005) in showing non-uniformity between LV and RV restitution slopes. The observed heterogeneities were organized into regions with multiple gradients between areas of steeper slope and areas of shallower slope. The range of slopes spanned a range of very flat (i.e. close to 0) to steep, with 55% of all maximum restitution slopes being below 1, and 13% of slopes above 2.

Methodological considerations

The cellular properties of the ventricular wall are heterogeneous (Antzelevitch et al. 1991). Our measurements were made on the epicardial surface, so we have no information from endocardium or mid-myocardium. Steep APD restitution results in a greater variation in APD and so in refractoriness over a given range of diastolic intervals. Depressed conduction results in a broader conduction velocity restitution curve and so in a wider range of conduction velocities over a given range of diastolic intervals. Therefore, APD restitution alters the sensitivity of the wave back, whilst conduction velocity restitution alters the sensitivity of the wave front to small changes in diastolic interval (Qu et al. 2000). Hence, an integral part of the interpretation of APD restitution is conduction velocity restitution. However, the interelectrode distance on the sock was approximately 10 mm, so in view of this relatively low spatial resolution, conduction velocity restitution was not quantified in this study.

The variation in pacing site between patients may have contributed to the interpatient variability owing to tissue anisotropy, since the latter has been shown to influence repolarization (Gotoh et al. 1997; Furukawa et al. 2000). However, this would not have altered the overall findings of spatial heterogeneity within individual hearts. Comparison of hearts for which the pacing sites were similar did not reveal any topographical similarities between hearts (data not shown).

At some electrode sites, we observed ARI restitution data that exhibited a non-monotonic (e.g. triphasic) relationship at short DIs, as reported in some studies (Franz et al. 1988; Morgan et al. 1992). However, this was seen infrequently in our data, occurring for less than 2% of the 2885 restitution recording sites across all 14 patients. This was despite spanning the range of DIs over which this pattern has been observed (i.e. between approximately 50 and 100 ms) and changing the S1–S2 pacing interval by small (5 ms) decrements over this range. Reasons for this discrepancy in restitution shape are not clear, but may relate to endocardial-to-epicardial differences. In a previous study of APD restitution on the endocardium using single site recordings, the curves were more angulated and did not always follow a mono-exponential time course (Taggart et al. 2003). For these curves, we used piecewise linear regression to measure the maximum slope. In the present study, the curves were smooth, and we used a mono-exponential fit, which has the advantage of being in line with the majority of other published reports. We found that the mono-exponential function provided an accurate fit to the vast majority of our data, with small root-mean-squared errors and no consistent pattern to the errors between the recorded data and fitted restitution curves.

APD restitution slopes

Previous estimates of the restitution slope in humans have relied on studies reporting a limited number of single or paired site recordings (e.g. Franz et al. 1988; Morgan et al. 1992; Taggart et al. 2003; Pak et al. 2004). Our data using multi-electrode recording over the complete left and right ventricular epicardium provides a global map of APD restitution for low risk cardiac patients. A striking feature was the spatial heterogeneity of slope in all patients, with multiple gradients between numerous adjacent regions with widely disparate slopes. This is consistent with the non-uniformity seen in some animal models, such as a single apex-to-base gradient in the guinea-pig (Pastore et al. 1999). However, the apex-to-base restitution gradient in guinea-pig hearts is characteristically smooth and contrasts with the multiple gradients we observed. Thus no heart could be described as having either steep or flat restitution, since regions of each were present in all hearts studied.

In the present studies, a relatively high proportion (45%) of electrode sites had restitution slopes > 1. There was no obvious relationship between steepness and pathology (such as infarction) in any individual patient. Overall, slopes were steeper than those recently reported by Yue et al. (2005) on human endocardium using non-contact mapping in patients undergoing electrophysiological procedures for supraventricular arrhythmias. In their study, mean restitution slopes of 0.93 ± 0.49 in left ventricle and 0.65 ± 0.26 in right ventricle were observed. In our previous studies using single site monophasic action potential recordings from right ventricular endocardium (Taggart et al. 2003), we observed mean restitution slopes of 1.05 ± 0.09 and 0.71 ± 0.05 at cycle lengths of 600 and 400 ms, respectively. In another study by Pak et al. (2004) using monophasic action potential recordings in patients at high risk of ventricular arrhythmia, restitution slopes from the right ventricular endocardium were considerably steeper (2.7 ± 1.9 and 1.9 ± 1.2 at the RV outflow tract and RV apex, respectively). The reason for the steeper slopes we observed compared to those of Yue et al. (2005) and and compared to our own previous observations is not clear. Possible explanations include endocardial versus epicardial differences, differences intrinsic to the patient populations, different basic cycle lengths, and the methodology employed for calculating the slope (a mono-exponential fit was used in the present study, whereas piecewise linear regression was used in our previous study and that of Yue et al. 2005). A recent study by Koller et al. (2005) showed that the steep portion of the dynamic restitution curve was shifted to the right in patients with structural heart disease, and that alternans occurred over a wider range of diastolic intervals compared to control subjects. This suggests the importance of restitution parameters other than slope per se in mechanisms underlying arrhythmogenesis.

Overall, the restitution slope was steeper in the left ventricle compared to the right ventricle, as has been reported by others in a guinea-pig model (Laurita et al. 1996) and recently in humans (Yue et al. 2005). The slope was flatter in patients with CAD compared to those with AVD. Several mechanisms may be contributory. Acute ischaemia has been shown to flatten APD restitution in animal (Dilly & Lab, 1988) and human hearts (Taggart et al. 1996). In our studies, there was no evidence of ischaemia on the standard ECG, on the routine monitors or on the epicardial electrograms. None of the patients were known to have angina at rest or fluctuating ECG ST segment changes. Nevertheless, the possibility of an effect of ischaemia on restitution, particularly in patients with CAD with critical stenoses, cannot be excluded. Medication with ß-blockers or calcium antagonists taken by the CAD patients could have contributed significantly to this result, since both drugs flatten restitution (Weiss et al. 1999; Taggart et al. 2003). ß-Blockers may also be expected to reduce ARI dispersion.

Modelling studies suggest that, as well as the steepness of the restitution curve, the range of diastolic intervals over which the curve remains steep is important (Qu et al. 1999). A slope that is steep over a larger portion of the curve is more profibrillatory than one that is steep over only a short section of the curve (Qu et al. 1999). In our studies, the range of diastolic intervals over which a curve with a slope steeper than 1 remains steeper than 1 was also regionally distributed (Fig. 3).

Why the regionality?

The reason for the striking pattern of spatial heterogeneity of restitution slope seen in this human study is not clear. There was no obvious anatomical orientation, and the topographical pattern was different between patients. Acute ischaemia flattens the APD restitution curve (Dilly & Lab, 1988; Taggart et al. 1996), but is unlikely to have played more than a minor role for reasons mentioned above, and also because similar characteristics were observed for the AVD patients, for whom no haemodynamically significant coronary artery narrowing was present. Cooling prolongs APD and steepens APD restitution (Bjornstad et al. 1993); therefore, local variations in epicardial temperature could have influenced our results. However, we consider this also to be an unlikely explanation for the regionality of APD and restitution slope we observed, since we have previously shown that just prior to bypass the epicardial temperature drop was less than 1°C and was uniform (Taggart et al. 1988).

Differences in restitution properties in the RV have been reported between patients with RV disease and ischaemic heart disease (Morgan et al. 1992). Since spatial variation in restitution kinetics is thought to be governed by regional differences in ion channel density, one possible explanation for the heterogeneity on the global scale that we observed may be the result of remodelling. A possible mechanism, albeit speculative, is the effect of altered myocardial stress–strain relations acting through mechano-electric feedback, whereby changes in mechanical stretch alter the local electrophysiology (Lab, 2004; Nash & Panfilov, 2004). Ischaemia is well known to alter local ventricular wall motion and thus regional stretch. Hypertrophy in patients with AVD is also known to alter local stretch forces. Mechano-electric feedback in response to altered stretch may influence ion channel behaviour and in the longer term ion channel density (Meghji et al. 1997). The widely varying location of the ischaemic territory and the differing patterns of hypertrophy in these patients provide a likely basis for the interpatient variability of restitution slopes seen in our data.

Implications

Steepness of the restitution slope.  Experimental and modelling studies have demonstrated that steeply sloped APD restitution creates electrical instability and is profibrillatory (Nolasco & Dahlen, 1968; Karma, 1994; Gilmour & Chialvo, 1999; Weiss et al. 1999; Garfinkel et al. 2000). The original restitution hypothesis predicts that a restitution slope steeper than 1 may result in wavebreak, whereas at slopes below 1 wavebreak does not occur.

Modelling initiation and stability of re-entry in tissue with heterogeneous restitution.  Computational models are a valuable tool for exploring the properties and behaviour of cardiac tissue. We have used a much-simplified computational model of action potential propagation to investigate the arrhythmogenic potential of heterogeneous restitution. In a detailed and systematic study (Clayton & Taggart, 2005), we have shown that the interaction of a premature beat (S2) with heterogeneous restitution acts to produce regional differences in recovery, which block an additional premature beat (S3), resulting in wavebreak and re-entry. These observations are in agreement with experimental studies (Laurita et al. 1996, 1998), which showed that a premature stimulus could produce regional differences in recovery. An important feature of this finding is that wavebreak and re-entry can be produced by this mechanism for tissue with both steep (slope > 1) and shallow (slope < 1) APD restitution (Clayton & Taggart, 2005). As well as influencing the initiation of re-entry, we have also shown that heterogeneous restitution can influence the stability of re-entry. Our preliminary results presented in Fig. 9 suggest that the location of the tip of the re-entrant wave plays an important role, with other factors, including the size of the heterogeneity and the meander pattern of the tip, contributing to the stability. More detailed studies are needed to understand how these components interact, because stability may also be moderated by propagation of action potentials far from the tip of a re-entrant wave (Fenton et al. 2002). However, our overall finding, that heterogeneity is important for stability, is in agreement with those of others who have simulated the behaviour of re-entry in heterogeneous atrial tissue (Vigmond et al. 2004; Zou et al. 2005).

Limitations of the modelling.  In the modelling part of this study, we chose to use a greatly simplified model of cardiac tissue. The model had an APD of around 145 ms at long DI. Although this is around 100 ms shorter than the APDs observed in the experimental part of this study, the key idea behind the modelling study is that regional differences in APD restitution are arrhythmogenic, and we have shown elsewhere that this mechanism is independent both of APD and of APD restitution slope (Clayton & Taggart, 2005). In our model, we imposed sharp boundaries between regions with different APD restitution. In real tissue, boundaries arising from regional differences in ion channel expression or remodelling are likely to be smooth, and further studies are needed to examine how smooth boundaries could affect the initiation and stability of re-entry. In addition, we used a simplified model of membrane excitability, our simulations were limited to a 2-D tissue sheet, and we neglected the effects of tissue contraction.

Although these simplifications do limit the extent to which the findings of the modelling study can be applied to the human heart, this approach was valuable because it enabled us to study how a single mechanism (heterogeneous APD restitution) influences the initiation and stability of re-entry in isolation. The present study therefore illustrates the value of combining a carefully chosen computational model with experiment. The experiments showed that APD restitution properties in the human heart are spatially heterogeneous. The computer modelling studies showed that the juxtaposition of restitution curves with different slopes facilitated wavebreak and degeneration of VT to VF irrespective of whether the steepness of the slopes was greater than 1 or less than 1. Thus, although recent interest in the arrhythmogenic potential of APD restitution has focused on whether the slope is greater or less than 1 (a slope of greater than 1 being considered profibrillatory, and less than 1 tending to stabilize re-entrant rotors), the combined modelling and observational data suggest that spatial heterogeneity may be of equal importance to the APD restitution slope. Whilst providing observational data on human heart electrophysiology, our experiments on their own do not elucidate the mechanisms of arrhythmogenesis. Moreover, the computer modelling in the absence of the clinical profile would have limited value. However, their combination provides a step forwards in our understanding of arrhythmogenesis in human hearts.


    References
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Anon (1992). Effect of the antiarrhythmic agent moricizine on survival after myocardial infarction. The Cardiac Arrhythmia Suppression Trial II Investigators. N Engl J Med 327, 227–233.[Abstract]

Antzelevitch C, Sicouri S, Litovsky SH, Lukas A, Krishnan SC, Di Diego JM, Gintant GA & Liu DW (1991). Heterogeneity within the ventricular wall. Electrophysiology and pharmacology of epicardial, endocardial, and M cells. Circ Res 69, 1427–1449.[Free Full Text]

Banville I & Gray RA (2002). Effect of action potential duration and conduction velocity restitution and their spatial dispersion on alternans and the stability of arrhythmias. J Cardiovasc Electrophysiol 13, 1141–1149.[CrossRef][Medline]

Bjornstad H, Tande PM, Lathrop DA & Refsum H (1993). Effects of temperature on cycle length dependent changes and restitution of action potential duration in guinea pig ventricular muscle. Cardiovasc Res 27, 946–950.[Medline]

Boyett MR & Jewell BR (1978). A study of the factors responsible for rate-dependent shortening of the action potential in mammalian ventricular muscle. J Physiol 285, 359–380.[Abstract/Free Full Text]

Clayton RH & Holden AV (2002). A method to quantify the dynamics and complexity of re-entry in computational models of ventricular fibrillation. Physics Med Biol 47, 225–238.[CrossRef][Medline]

Clayton RH & Taggart P (2005). Regional differences in APD restitution can initiate wavebreak and re-entry in cardiac tissue: a computational study. Biomed Eng Online 4, 54.[CrossRef][Medline]

Dilly SG & Lab MJ (1988). Electrophysiological alternans and restitution during acute regional ischaemia in myocardium of anaesthetized pig. J Physiol 402, 315–333.[Abstract/Free Full Text]

Fenton FH, Cherry EM, Hastings HM & Evans SJ (2002). Multiple mechanisms of spiral wave breakup in a model of cardiac electrical activity. Chaos 12, 852–892.[CrossRef][Medline]

Fenton F & Karma A (1998). Vortex dynamics in three-dimensional continuous myocardium with fibre rotation: filament instability and fibrillation. Chaos 8, 20–47.[CrossRef][Medline]

Franz MR, Swerdlow CD, Liem LB & Schaefer J (1988). Cycle length dependence of human action potential duration in vivo. Effects of single extrastimuli, sudden sustained rate acceleration and deceleration, and different steady-state frequencies. J Clin Invest 82, 972–979.[Medline]

Furukawa Y, Miyazaki T, Miyoshi S, Moritani K & Ogawa S (2000). Anisotropic conduction prolongs ventricular repolarization and increases its spatial gradient in the intact canine heart. Jpn Circ J 64, 287–294.[Medline]

Garfinkel A, Kim YH, Voroshilovsky O, Qu Z, Kil JR, Lee MH, Karagueuzian HS, Weiss JN & Chen PS (2000). Preventing ventricular fibrillation by flattening cardiac restitution. Proc Natl Acad Sci U S A 97, 6061–6066.[Abstract/Free Full Text]

Gilmour RF Jr & Chialvo DR (1999). Electrical restitution, critical mass, and the riddle of fibrillation. J Cardiovasc Electrophysiol 10, 1087–1089.[Medline]

Goldhaber JI, Xie LH, Duong T, Motter C, Khuu K & Weiss JN (2005). Action potential duration restitution and alternans in rabbit ventricular myocytes: the key role of intracellular calcium cycling. Circ Res 96, 459–466.[Abstract/Free Full Text]

Gotoh M, Uchida T, Fan W, Fishbein MC, Karagueuzian HS & Chen PS (1997). Anisotropic repolarization in ventricular tissue. Am J Physiol 272, H107–H113.

Han J & Moe GK (1964). Nonuniform recovery of excitability in ventricular muscle. Circ Res 14, 44–60.[Abstract/Free Full Text]

Haws CW & Lux RL (1990). Correlation between in vivo transmembrane action potential durations and activation-recovery intervals from electrograms. Effects of interventions that alter repolarization time. Circulation 81, 281–288.[Abstract/Free Full Text]

Janse MJ & Wit AL (1989). Electrophysiological mechanisms of ventricular arrhythmias resulting from myocardial ischemia and infarction. Physiol Rev 69, 1049–1169.[Free Full Text]

Karma A (1994). Electrical alternans and spiral wave breakup in cardiac tissue. Chaos 4, 461–472.[CrossRef][Medline]

Koller ML, Maier SK, Gelzer AR, Bauer WR, Meesmann M & Gilmour RF Jr (2005). Altered dynamics of action potential restitution and alternans in humans with structural heart disease. Circulation 112, 1542–1548.[Abstract/Free Full Text]

Kuo CS, Munakata K, Reddy CP & Surawicz B (1983). Characteristics and possible mechanism of ventricular arrhythmia dependent on the dispersion of action potential durations. Circulation 67, 1356–1367.[Abstract/Free Full Text]

Lab MJ (2004). Mechanoelectric feedback/transduction: prevalence and pathophysiology. In Cardiac Electrophysiology: from Cell to Bedside, ed. Zipes DP & Jalife J, pp. 242. Saunders, Philadelphia.

Laurita KR, Girouard SD, Akar FG & Rosenbaum DS (1998). Modulated dispersion explains changes in arrhythmia vulnerability during premature stimulation of the heart. Circulation 98, 2774–2780.[Abstract/Free Full Text]

Laurita KR, Girouard SD & Rosenbaum DS (1996). Modulation of ventricular repolarization by a premature stimulus. Role of epicardial dispersion of repolarization kinetics demonstrated by optical mapping of the intact guinea pig heart. Circ Res 79, 493–503.[Abstract/Free Full Text]

Meghji P, Nazir SA, Dick DJ, Bailey ME, Johnson KJ & Lab MJ (1997). Regional workload induced changes in electrophysiology and immediate early gene expression in intact in situ porcine heart. J Mol Cell Cardiol 29, 3147–3155.[CrossRef][Medline]

Morgan JM, Cunningham D & Rowland E (1992). Dispersion of monophasic action potential duration: demonstrable in humans after premature ventricular extrastimulation but not in steady state. J Am Coll Cardiol 19, 1244–1253.[Abstract]

Nash MP, Bradley CP & Paterson DJ (2003). Imaging electrocardiographic dispersion of depolarization and repolarization during ischemia: simultaneous body surface and epicardial mapping. Circulation 107, 2257–2263.[Abstract/Free Full Text]

Nash MP & Panfilov AV (2004). Electromechanical model of excitable tissue to study reentrant cardiac arrhythmias. Prog Biophys Mol Biol 85, 501–522.[CrossRef][Medline]

Nash MP, Thornton JM, Sears CE, Varghese A, O'Neill M & Paterson DJ (2001). Ventricular activation during sympathetic imbalance and its computational reconstruction. J Appl Physiol 90, 287–298.[Abstract/Free Full Text]

Nolasco JB & Dahlen RW (1968). A graphic method for the study of alternation in cardiac action potentials. J Appl Physiol 25, 191–196.[Free Full Text]

Pak HN, Hong SJ, Hwang GS, Lee HS, Park SW, Ahn JC, Moo Ro Y & Kim YH (2004). Spatial dispersion of action potential duration restitution kinetics is associated with induction of ventricular tachycardia/fibrillation in humans. J Cardiovasc Electrophysiol 15, 1357–1363.[CrossRef][Medline]

Pastore JM, Girouard SD, Laurita KR, Akar FG & Rosenbaum DS (1999). Mechanism linking T-wave alternans to the genesis of cardiac fibrillation. Circulation 99, 1385–1394.[Abstract/Free Full Text]

Qu Z, Garfinkel A, Chen PS & Weiss JN (2000). Mechanisms of discordant alternans and induction of reentry in simulated cardiac tissue. Circulation 102, 1664–1670.[Abstract/Free Full Text]

Qu Z, Weiss JN & Garfinkel A (1999). Cardiac electrical restitution properties and stability of reentrant spiral waves: a simulation study. Am J Physiol 276, H269–H283.

Rosenbaum DS, Kaplan DT, Kanai A, Jackson L, Garan H, Cohen RJ & Salama G (1991). Repolarization inhomogeneities in ventricular myocardium change dynamically with abrupt cycle length shortening. Circulation 84, 1333–1345.[Abstract/Free Full Text]

Sampson KJ & Henriquez CS (2001). Simulation and prediction of functional block in the presence of structural and ionic heterogeneity. Am J Physiol Heart Circ Physiol 281, H2597–H2603.[Abstract/Free Full Text]

Sanders GD, Hlatky MA & Owens DK (2005). Cost-effectiveness of implantable cardioverter-defibrillators. N Engl J Med 353, 1471–1480.[Abstract/Free Full Text]

Taggart P, Sutton PM, Boyett MR, Lab M & Swanton H (1996). Human ventricular action potential duration during short and long cycles. Rapid modulation by ischemia. Circulation 94, 2526–2534.[Abstract/Free Full Text]

Taggart P, Sutton P, Chalabi Z, Boyett MR, Simon R, Elliott D & Gill JS (2003). Effect of adrenergic stimulation on action potential duration restitution in humans. Circulation 107, 285–289.[Abstract/Free Full Text]

Taggart P, Sutton PM, Treasure T, Lab M, O'Brien W, Runnalls M, Swanton RH & Emanuel RW (1988). Monophasic action potentials at discontinuation of cardiopulmonary bypass: evidence for contraction-excitation feedback in man. Circulation 77, 1266–1275.[Abstract/Free Full Text]

Tan LB (1996). SWORD trial of d-sotalol. Lancet 348, 827–828.[Medline]

Vigmond E, Tsoi V, Kuo S, Arevalo H, Kneller J, Nattel S & Trayanova N (2004). The effect of vagally induced dispersion of action potential duration on atrial arrhythmogenesis. Heart Rhythm 1, 334–344.

Watanabe MA, Fenton FH, Evans SJ, Hastings HM & Karma A (2001). Mechanisms for discordant alternans. J Cardiovasc Electrophysiol 12, 196–206.[CrossRef][Medline]

Weiss JN, Garfinkel A, Karagueuzian HS, Qu Z & Chen PS (1999). Chaos and the transition to ventricular fibrillation: a new approach to antiarrhythmic drug evaluation. Circulation 99, 2819–2826.[Abstract/Free Full Text]

Xie F, Qu Z, Garfinkel A & Weiss JN (2001a). Electrophysiological heterogeneity and stability of reentry in simulated cardiac tissue. Am J Physiol Heart Circ Physiol 280, H535–H545.[Abstract/Free Full Text]

Xie F, Qu Z, Weiss JN & Garfinkel A (2001b). Coexistence of multiple spiral waves with independent frequencies in a heterogeneous excitable medium. Phys Rev E Stat Nonlin Soft Matter Phys 63, 031905.[Medline]

Yue AM, Franz MR, Roberts PR & Morgan JM (2005). Global endocardial electrical restitution in human right and left ventricles determined by noncontact mapping. J Am Coll Cardiol 46, 1067–1075.[Abstract/Free Full Text]

Yue AM, Paisey JR, Robinson S, Betts TR, Roberts PR & Morgan JM (2004). Determination of human ventricular repolarization by noncontact mapping: validation with monophasic action potential recordings. Circulation 110, 1343–1350.[Abstract/Free Full Text]

Zou R, Kneller J, Leon LJ & Nattel S (2005). Substrate size as a determinant of fibrillatory activity maintenance in a mathematical model of canine atrium. Am J Physiol Heart Circ Physiol 289, H1002–H1012.[Abstract/Free Full Text]


    Acknowledgements
 
We gratefully acknowledge the financial support of the Wellcome Trust, the University of Auckland's Vice Chancellor's University Development Fund and the British Heart Foundation (PG/03/102/15852).




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