Am J Physiol Heart Circ Physiol 293: H2771-H2785, 2007.
First published August 17, 2007; doi:10.1152/ajpheart.00651.2007
0363-6135/07 $8.00
Monophasic action potentials generated by bidomain modeling as a tool for detecting cardiac repolarization times
P. Colli Franzone,1
L. F. Pavarino,2
S. Scacchi,1 and
B. Taccardi3
1Dipartimento di Matematica, Università degli Studi di Pavia, Pavia, Italy; 2Dipartimento di Matematica, Università degli Studi di Milano, Milan, Italy; and 3Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, Utah
Submitted 6 June 2007
; accepted in final form 16 August 2007
 |
ABSTRACT
|
|---|
Unipolar electrograms (EGs) and hybrid (or unorthodox or unipolar) monophasic action potentials (HMAPs) are currently the only proposed extracellular electrical recording techniques for obtaining cardiac recovery maps with high spatial resolution in exposed and isolated hearts. Estimates of the repolarization times from the HMAP downstroke phase have been the subject of recent controversies. The goal of this paper is to computationally address the controversies concerning the HMAP information content, in particular the reliability of estimating the repolarization time from the HMAP downstroke phase. Three-dimensional numerical simulations were performed by using the anisotropic bidomain model with a region of short action potential durations. EGs, transmembrane action potentials (TAPs), and HMAPs elicited by an epicardial stimulation close or away from a permanently depolarized site were computed. The repolarization time was computed as the moment of EG fastest upstroke (RTeg) during the T wave, of HMAP fastest downstroke (RTHMAP), and of TAP fastest downstroke (RTtap). The latter was taken as the gold standard for repolarization time. We also compared the times (RT90HMAP, RT90tap) when the HMAP and TAP first reach 90% of their resting value during the downstroke. For all explored sites, the HMAP downstroke closely followed the TAP downstroke, which is the expression of local repolarization activity. Results show that HMAP and TAP markers are highly correlated, and both markers RTHMAP and RTeg (RT90HMAP) are reliable estimates of the TAP reference marker RTtap (RT90tap). Therefore, the downstroke phase of the HMAP contains valuable information for assessing repolarization times.
unipolar electrograms; monophasic action potential; bidomain model; heterogeneity; action potential duration
LIFE-THREATENING CARDIAC ARRHYTHMIAS and a high risk of reentrant arrhythmias are often associated with abnormal distributions of recovery times, high spatial gradients of recovery times, and high spatial gradients of action potential durations (APD) (see Refs. 27, 62). Cardiac repolarization is not a local phenomenon because it exhibits a spatial scale of the order of a few centimeters and a temporal scale of several tens of milliseconds, unlike the cardiac excitation layer, which exhibits a scale of the order of 1–2 mm and a fast upstroke of a few milliseconds. Hence, what is generally called recovery time is only a partial aspect of the repolarization phase. Among the most used recovery time markers are the time of minimum downslope of the transmembrane action potential (TAP), the time when the TAP reaches a given percentage (usually 90% or 60%) of its resting value during the downstroke phase, and the time given by the intersection between the baseline and the TAP tangent at the minimum downslope (58, 59). These recovery time markers from the TAP waveforms are obtainable only with microelectrodes, which limit their application to only a few sites, in both in vitro and in vivo experiments. These limitations can be overcome by employing simultaneous extracellular recordings in both in vivo or intact heart experiments. It is then important to have a reliable method for estimating activation and recovery times and spatial distributions of APD from extracellular recordings. These, and optical mapping, remain the only available procedures for mapping repolarization sequences, which require multiple recording sites in both clinical and experimental settings.
Although methods for determining activation times from electrographic signals recorded directly from the heart have been firmly established (see Ref. 40 and the references therein), there are still uncertainties and controversies about the best method for determining recovery times. A commonly and well-established extracellular recording technique to infer the monophasic features of the TAP is the close-bipolar monophasic action potential (MAP) [see Franz (16, 17)]. Franz's method yields a graph that is an expression of the potential differences between two extracellular sites: a site depolarized by contact pressure and a proximal site without myocardial contact that captures an intracavitary potential. The close proximity between the two recording sites leads to the cancellation of far-field effects (see Refs. 16–18, 28, 51 for a complete treatment). The more recent technique proposed by Antzelevitch and colleagues (29, 34, 55) measures potential differences between a depolarized site and any other extracellular site, located anywhere in the heart; i.e., it uses as a reference potential the extracellular potential recorded from a permanently depolarized (PD) site, obtained by contact pressure or a KCl injection in a small epicardial region. The method involves the use of bipolar leads that are sensitive to activity occurring in the entire heart and has been criticized in the literature [e.g., Franz (18)]. Although the close bipolar MAP of Franz is free from far-field effects, it can collect only a relatively small number of MAPs in a given patient or experiment. On the other hand, the more recent technique of Antzelevich and colleagues, here called hybrid [or "unorthodox" or "unipolar" as in Franz (17)] monophasic action potential (HMAP), is contaminated by far-field effects. However, because it uses only one fixed PD site, it enables us to record hundreds of signals simultaneously from an epicardial electrode array and also from intramural needles.
The repolarization time can be estimated by using some time indexes associated with the downstroke of the TAP or MAP (16, 17). A widely used marker is the instant of minimum time derivative of the TAP during the downstroke phase (RTtap) (21, 57) or the time when the TAP reaches a given percentage of its resting value during the downstroke phase. The most widely used values are 60% and 90%, and we denote the latter by RT90tap. In this work, we consider as gold standards the markers RTtap and RT90tap related to the time of fastest and ending of repolarization of the TAP, respectively. The first choice is based on the theoretical and experimental studies (14, 21) and on computer simulations (5, 47), confirming that, in normal tissue, RTtap is highly correlated with the repolarization time of maximum time derivative during the T-wave in the unipolar electrogram (RTeg; Haws-Lux method). RTeg is a widely used marker of repolarization time in experimental and clinical electrocardiology (14, 19, 24, 60, 61). This repolarization marker is an extension of the classical depolarization marker (45, 46), which showed that the time of minimum derivative in the QRS complex of the unipolar electrogram (EG) coincides with the time of maximum upslope of the TAP.
Analogously to RTtap, we compute the instant RTHMAP of minimum time derivative of the HMAP signal. This marker, based on the HMAP fastest downslope, can be of interest as an alternative method because the marker RTeg, based on the ascending portion of the unipolar T-wave, may be difficult to obtain from normal tissue in cases of almost flat or low-voltage T waves or linear ST ramps and in pathological tissue with ischemic regions with missing ST ramp. Recently, the information content of HMAP, resulting from combined EGs, has been questioned (11). Previously, the origin and interpretation of the HMAP waveform have been the subject of a controversy concerning which electrode is responsible for the genesis of MAPs. These controversial issues regarding the origin and interpretation of the MAP and HMAP signal morphology are beyond the scope of this paper, and we refer interested readers to other studies (11, 18, 26, 28, 29, 34, 35, 51, 53, 56) for a discussion of these issues.
The goal of this work is to investigate the information content of the downstroke phase of the HMAP signal by using three-dimensional numerical simulations. These have the main advantage of yielding both the EG and the reference TAP at any exploring site. Therefore, we are able to estimate the matching of time markers of both transmembrane and extracellular potentials. We simulate the three-dimensional activation and repolarization sequences based on the bidomain model coupled with the Luo-Rudy phase I (LR1) system for the ionic membrane currents, taking into account the rotational anisotropic structure of the fiber layers, different local stimulation sites in a slab, and the subepicardial heterogeneity of the cell membranes properties, resulting in different APDs.
We simulate several EGs and HMAPs distributed on both the epicardial surface of the slab and at intramural locations. Previous studies investigated the influence of the cardiac wall anisotropy on the QRS morphology and activation sequence (8, 40, 49, 50) and the influence of heterogeneity on repolarization dispersion (3, 4, 10, 13, 20, 25, 31, 41, 44, 47, 54). In this paper, we focus instead on the reliability of the repolarization time markers RTeg and RTHMAP compared with the gold standard RTtap in the presence of anisotropic electrotonic currents and their modulation due to APD heterogeneity. In the same conditions, we investigate the reliability of RT90HMAP as an estimate of RT90tap.
Because the HMAP signal is contaminated by far-field effects in both the depolarization and repolarization phases, where local and remote activity are superimposed, we challenged the methods of Antzelevitch and colleagues (29, 34, 55) by creating a short APD region (50% of normal) and by running two critical simulation tests (SA and SB). Our results show that it is possible to detect the repolarization activity near the exploring electrode from the HMAP downstroke, despite some contamination due to the influence of the monophasic shape of the EG waveform at a PD site. We finally discuss some related controversial issues.
 |
METHODS
|
|---|
The anisotropic bidomain model.
In this study, we consider the macroscopic bidomain representation of the cardiac tissue, which has been used by several research groups (5, 15, 22, 23, 36, 38, 42) in previous investigations of the excitation and repolarization processes and has led to the determination of general rules explaining the effects of fiber architecture and cellular heterogeneity on excitation and repolarization sequences, potential patterns, and EG morphology.
We simulate an entire depolarization and repolarization phase in an insulated three-dimensional cardiac domain H (with boundary
H) modeling a portion of the ventricular wall, using the bidomain representation of the cardiac tissue coupled with the Luo-Rudy phase I system (32) modeling the ionic membrane currents. This model allows us to compute on a given time interval (0,T) the intra- and extracellular potentials ui(x,t) ue(x,t) [hence the TAP v(x,t) = ui(x,t) – ue(x,t)], the gating variables w(x,t), and ion concentrations c(x,t), as the solutions of the bidomain reaction-diffusion system
 | (1) |
Here,
t denotes the partial derivative with respect to time,
the gradient operator, div the divergence operator,
the surface membrane area per unit volume, Cm and Iion the capacitance and the ionic current of the membrane per unit surface, and i
an applied extracellular current per unit volume. We chose
= 103 cm–1 and Cm = 10–3 mF/cm2; see below for definitions of the conductivity tensors Di and De. The extracellular potential ue is defined apart from a space independent constant R(t) determined by the choice of reference potential. The latter is usually a potential in a remote site or an average of potential values such as the Wilson central terminal. In the case of an insulated block of tissue, we considered as a reference potential the average of the extracellular potential on a portion Href of the volume or of the surface of the slab; i.e., we impose
Hrefue(x, t) = 0, where Href = H or alternatively Href =
Hepi, the epicardial surface of the slab.
To investigate the information content of the HMAP with respect to the local repolarization activity, we challenged the method by Antzelevitch and colleagues (29, 34, 55) by creating a short APD region (50% of normal) and by performing two critical simulations, described below as protocols SA and SB. We simulated the propagation of activation and repolarization sequences by taking into account the orthotropic anisotropy of the intra- and extracellular media, the intramural rotational structure of the fibers, the unequal anisotropy ratio for the intra- and extracellular media, the presence of a PD site, the effect of different local stimulations, and the presence of a strong regional APD heterogeneity, modeling the effect of local warming.
Fiber architecture and conductivity tensors.
The conductivity tensors Di(x) and De(x) at any point x in H are defined as
 | (2) |
where (x) is a unit vector parallel to the local fiber direction and, on the basis of the laminar organization of the ventricular wall (10, 12, 30), al(x) and an(x) are unit vectors transverse to the fiber axis and tangent and orthogonal to fiber laminas, respectively. For our slab geometry, using the Cartesian coordinate system x1,x2,x3, we chose
, and
, where the angle
dictates the transmural fiber rotation, which we assumed as having linear and counterclockwise variations from epicardium (–45°) to endocardium (45°), for a total amount of 90° (48). Moreover,
li,e,
ni,e, and
ti,e are the conductivity coefficients in the intra- and extracellular media measured along the corresponding directions al, at, and an. These coefficients are assumed to be homogeneous throughout the tissue, with values of {
le,
li,
te,
ti} = {2, 3, 1.35, 0.315} m
–1·cm–1 and
ne =
te/2,
ni =
ti/10. These calibrations yield ideal plane wave fronts propagating along al(x), at(x), and an(x) with velocities of 60, 25, and 10 cm/s, respectively, in accordance with Refs. 10 and 30.
Multisite matrix.
The cardiac domain H considered in this study is a Cartesian slab of dimensions 1.92 x 1.92 x 0.48 cm3, modeling a portion of the left ventricular wall. In this slab, we consider a matrix of 12 x 12 exploring multielectrode needles spaced 1.6 mm from each other and 0.8 mm from the slab boundary, as shown in Fig. 1. Each needle carries 13 exploring sites, spaced 0.4 mm along the shank. We then have 12 x 12 sites on each of the 13 intramural planes, for a total of 12 x 12 x 13 = 1,872 exploring sites in the slab, each recording the intra- and extracellular potentials.

View larger version (13K):
[in this window]
[in a new window]
|
Fig. 1. Left: cardiac slab H, permanently depolarized (PD) site, short action potential duration (APD) region, transmural needles. Right: needle locations on the epicardial (epi) plane with row and column indexes and 4 epicardial sites indicated [A = (2,11), B = (5,8), C = (8,5), and D = (11,2), with the first 3 outside and the last 1 inside the short APD region]. endo, Endocardium; SA and SB are the 2 stimulation protocols, as described in the text.
|
|
We indicated each needle location by its column and row (Fig. 1, left); for example, the location of the needle inside the PD site has indexes PD = (1,12), whereas the four needles A, B, C, and D along the diagonal issuing from the PD site have indexes A = (2,11), B = (5,8), C = (8,5), and D = (11,2) (the first 3 outside and the last 1 inside the short APD region).
PD volume.
An almost PD volume was obtained experimentally by contact pressure or by KCl injection in a small PD volume of the cardiac slab H, holding the TAP in such a region to some fixed depolarized value. Modeling studies of the PD volume and the close bipolar MAP can be found elsewhere (51, 52). In our model, we obtained a PD volume by assigning the extracellular potassium concentration equal to the intracellular one, so that the reversal potentials EK1 and EKp in the LR1 model are set to zero in the PD volume (37). The location of the PD site is marked in Fig. 1; it has dimensions 0.8 x 0.8 x 0.8 mm3.
Short APD region.
We introduced a strong regional heterogeneity of the cellular membrane properties by reducing the APD in a subepicardial region near a vertex indicated in Fig. 1. This short APD region has dimensions of 0.48 x 0.48 x 0.10 cm3. In the LR1 model (32), we scaled the time-dependent potassium current IK by a factor of 2.325, yielding an action potential with APD90 = 250 ms. Inside the short APD region, we scaled the same current by a factor of 8.603, which yielded an action potential with APD90 = 125 ms. This situation models the experimental effects of local warming in the short APD region.
Stimulation sites: near and away from the PD site.
Because the TAP at the PD site is above threshold, it generates a first excitation-recovery front that sweeps the cardiac slab H. After 500 ms, we take the steady state reached by the bidomain system as the initial condition for our simulations and we apply an appropriate stimulus (250 mA/cm3 for 1 ms) in a small volume (3 or 5 mesh points in each direction) at a location near the PD site (labeled SA in Fig. 1) or away from the PD site (labeled SB in Fig. 1).
Numerical methods.
In all computations, a structured grid of 192 x 192 x 48 hexahedral isoparametric Q1 elements of size h = 0.1 mm is used in space, whereas the time discretization is based on an Euler-Imex method. We used the PETSc parallel library (2) to ensure the parallelization and portability of our code, run on a Linux Cluster with 72 Xeon 2.4-GHz processors at the Mathematical Department of the University of Milan (cluster.mat.unimi.it). Each simulation required
7–24 h on 36 processors, depending on the solver; further numerical details can be found elsewhere (7, 10). The limited size of our computational domain is due to the high computational costs of our bidomain simulations with high space-time resolution, which are needed to obtain very accurate TAP and EG waveforms without numerical artifacts.
Potential waveforms.
In each simulation, we saved the extracellular and intracellular potential waveforms ue(x,t) and ui(x,t) at the 12 x 12 x 13 exploring sites of the multisite matrix described above. We define the following waveforms: EGx(t) = ue(x,t) (unipolar EG at the exploring site x), TAPx(t) = ui(x,t) – ue(x,t) (transmembrane potential at x), EGd(t) = the unipolar EG at the PD site, and HMAPx(t) = –EGx(t) + EGd(t) (the HMAP at x).
We remark that the HMAP recording is the superposition of a local EG detected at the exploring site and a remote component related to the depolarized site used as a reference site. We also considered a scaled version of the TAP (STAP) defined by
 | (3) |
with
= (
li –
ni)/(
l –
n),
l,t,n =
l,t,ni +
l,t,ne, and endbeat = 400 ms; a motivation for this particular choice is discussed in the APPENDIX.
Repolarization time markers.
In protocols SA and SB and at each point x of the cardiac domain, we estimated the following recovery time markers from the waveforms TAPx(t), EGx(t), and HMAPx(t): RTtap(x) = time of minimum
tTAPx(t) during downstroke, RT90tap(x) = first time when TAPx(t) reaches 90% of its resting value during downstroke, RTeg(x) = time of maximum
tEGx(t) during T wave, RTHMAP(x) = time of minimum
tHMAPx(t) during downstroke, RT90HMAP(x) = first time when HMAPx(t) reaches 90% of its resting value during downstroke, RTd(x) = time of minimum
EGd(t) during downstroke. The RTtap marker and RT90tap markers are assumed to be the gold standards for the repolarization times of the cardiac cellular activity.
 |
RESULTS
|
|---|
As described in METHODS, we first allow the bidomain system to reach a steady state after the excitation-recovery front, originated at the PD site, sweeps the domain H and the slab is fully repolarized. After 500 ms, we apply one of two stimulation protocols: SA, with stimulus located near the PD zone, or SB, with stimulus away from the PD zone (see Fig. 1).
The excitation and repolarization sequences associated with protocols SA and SB are displayed in Fig. 2, left and right, respectively. In protocol SA, the epicardial repolarization starts from the short APD region and subsequently collides and merges with the repolarization front originating from the area around the stimulation site. In protocol SB, repolarization starts from the stimulation site, located within the short APD region, and proceeds on the epicardial face toward the PD zone. We next investigate the shape of the EGx(t), HMAPx(t), and TAPx(t) computed in both protocols at various exploring sites x.

View larger version (68K):
[in this window]
[in a new window]
|
Fig. 2. Excitation and repolarization sequences elicited by local stimulation SA (left) and SB (right) near and away the PD site (see Fig. 1). Each panel displays the excitation (ACTI) and repolarization (REPO) isochrones on the epicardial (EPI), midwall (MID), and endocardial (ENDO) planes and diagonal section (DIAG). Below each picture are reported maximum, minimum, and step of the displayed map in ms.
|
|
HMAPs at exploring sites close to the PD site.
At exploring sites close to the PD site, HMAPs are essentially bipolar signals, hence without far-field potential effects. This situation yields HMAPs similar to the close-bipolar MAPs recorded from the Franz MAP catheter design, based on tissue contact pressure. In stimulation protocol SA with both stimulation and exploring sites close to the PD zone (Fig. 3, A 1 and A2), the HMAP exhibits an initial upstroke associated with the depolarization of the epicardial sites around the boundary of the PD volume, immediately followed by a faster upstroke associated with the excitation front reaching the exploring site, as supported by the superimposition with the upstroke of the scaled TAP. Subsequently, the HMAP exhibits a monophasic component that almost coincides with the downstroke phase of the scaled TAP. A comparison of RTHMAP and RTtap shows an error of <1.5 ms. Hence, the close-bipolar HMAP of Fig. 3 exhibits all of the TAP morphological features, including a remarkable resemblance of the downstroke shape. Similar conclusions held for protocol SB, as confirmed by comparing the HMAPs and scaled version of TAPs of Fig. 3, A3 and A4, where the exploring sites are close to the PD zone and away from the stimulation site.

View larger version (16K):
[in this window]
[in a new window]
|
Fig. 3. Waveforms at epicardial sites near the PD zone (see Fig. 1) using stimulation protocol SA [A1: (1,10) and A2: (1,11)] and stimulation protocol SB [A3: (2,12) and A4: (3,12)]. Solid lines indicate HMAPx(t) (top), EGd(t) (middle), and EGx(t) (bottom); dashed lines indicate superimposed scaled and shifted version of TAPx(t), given by Eq. 3. Vertical solid lines indicate the markers RTHMAP, RTd, and RTeg; vertical dashed lines indicate the marker RTtap, with its value and associated APD reported below. RTeg, time of moment of fastest electrogram (EG) upstroke during the T wave; RTtap, time of transmembrane action potential (TAP) fastest downstroke; RTHMAP, time of hybrid monophasic action potential (HMAP) fastest downstroke. See text for explanation of other terms.
|
|
Wave trains along exploring sites crossing the short APD region.
In Fig. 4, we compare the HMAP and the scaled TAP morphology at exploring epicardial sites along an epicardial diagonal (top) and a transmural needle crossing the short APD area (bottom), for protocols SA (left) and SB (right). The wave trains along the diagonal displayed in Fig. 4, top, clearly show that both the HMAP and TAP suddenly change their duration when the exploring site crosses the short APD region, whereas a large positive T wave appears in the EG. The movement of the downstroke phase of the HMAP is synchronized with that of the associated TAP. Figure 4, bottom, shows the waveforms EGx(t), HMAPx(t), and TAPx(t) along a transmural needle located at the epicardial site D = (11,2) centered in the short APD region (see Fig. 1). The upstroke phase of the T wave in the EGx(t), the downstroke phase of the HMAPx(t), and the TAPx(t) move synchronously as the exploring sites move transmurally with a step of 0.4 mm. When the exploring site enters the short APD region, the HMAP downstroke phase suddenly reduces its duration according to the associated TAP duration, independently of the stimulation protocol.

View larger version (22K):
[in this window]
[in a new window]
|
Fig. 4. Top 3 rows: wave trains at epicardial sites along the diagonal issuing from the stimulation site. Bottom 3 rows: wave trains along the intramural needle located at point D = (11,2) (see Fig. 1). Each set displays HMAP (top), scaled and shifted version of TAP (STAP) given by Eq. 3 (middle), and EG (bottom). Left: protocol SA. Right: protocol SB.
|
|
Morphology of epicardial HMAPs and behavior of RTHMAP marker.
We next compare the HMAP and TAP morphology at four epicardial sites A, B, C, and D (the first 3 outside and the last 1 inside the short APD region) along the epicardial diagonal issuing from the stimulation point (see Fig. 1).
Epicardial HMAP signals elicited by protocol SA (Fig. 5) exhibit multiple upstroke phases. A first one is associated with the depolarization of sites around the boundary of the PD region. A second one is associated with the activation time of the exploring site, as confirmed by the coincidence with the upstroke phase of the TAP (see Fig. 5), followed by the appearance of the HMAP monophasic component. The fast depolarization upstroke of the HMAP is not clearly detached from the monophasic component, since the stimulation site is near the PD zone. After a few milliseconds, the EGd morphology shows a deflection associated with the excitation reaching the sites around the PD boundary, followed by a monophasic component.

View larger version (16K):
[in this window]
[in a new window]
|
Fig. 5. Stimulation protocol SA. Waveforms at epicardial exploring sites A = (2,11), B = (5,8), C = (8,5), and D = (11,2) along the diagonal issuing from the stimulation point (see Fig. 1). Solid lines indicate HMAPx(t) (top), EGd(t) (middle), and EGx(t) (bottom); dashed lines indicate superimposed scaled and shifted version of TAPx(t), given by Eq. 3. Vertical solid lines indicate the markers RTHMAP, RTd, and RTeg; vertical dashed lines indicate the marker RTtap, with its value and associated APD reported below.
|
|
Epicardial HMAP signals elicited by protocol SB (Fig. 6) exhibit multiple upstroke phases. A first one is now associated with the activation time of the exploring site, as confirmed by the coincidence with the upstroke phase of the TAP. A second one is associated with the depolarization of the boundary of the PD region and is followed by a third upstroke with the appearance of the monophasic portion of the HMAP (Fig. 6, B–D). The HMAP displays a fast depolarization upstroke phase, fully separated from and preceding the appearance of the monophasic component. The morphology of the EGd shows an initial increasing behavior followed by a deflection when the excitation reaches the sites around the boundary of the PD zone, with the subsequent appearance of a monophasic component. As previously remarked, the HMAP morphology and duration are dependent on the local T wave; hence, it is not unexpected that the measure of the fastest repolarization time from the downstroke phase of the HMAP is actually correlated with the moment of steepest rise of the local T wave. Figures 5 and 6 show a comparison between the markers RTHMAP(x), RTeg(x), and the gold standard RTtap(x).
For both of the stimulation protocols, EGs at sites within the short APD region exhibit a local huge positive T wave with a very long downstroke phase. The HMAP waveform, resulting from the subtraction of the EGx signal from the EGd, displays a monophasic component lasting <180 ms. Therefore, the amplitude and duration of the positive T wave are sufficient to compensate for the long downstroke phase of the EGd at the PD zone and to level of the last 100 ms of the HMAP waveform. This demonstrates that the last part of the T-wave downstroke phase contains information about the remote repolarization, similarly to the last part of the monophasic component of the EGd. In fact, the monophasic part of the HMAP lasts less than
160 ms, despite the fact that RTd = 243 ms for the EG at the PD zone and that the times of the maximum downslope of the T wave amount to 237 and 246 ms for protocol SA and SB, respectively. The comparison between the STAP and the HMAP shows different endings, such as an undershooting of the resting value; e.g., hyperpolarization phenomena are present in Fig. 5C and Fig. 6, C and D.
Quantitative analysis of repolarization time markers.
A more quantitative investigation of the match between the two markers RTHMAP(x) and RTeg(x) of the time of fastest repolarization and the reference marker RTtap(x) can be accomplished by postprocessing all of the 12 x 12 epicardial waveforms for EGx(t), HMAPx(t), and TAPx(t). We identify the sites where both of the marker differences |RTeg – RTtap| and |RTHMAP – RTtap| are >10 ms. One site is obviously the site inside the PD zone, and, in protocol SA, we identify only two nodes where the RTeg fails, whereas RTHMAP gives an estimate with discrepancies of <6 ms. In protocol SB, only three sites show differences in the RTeg(x) estimate ranging from 10 to 20 ms, whereas the discrepancies of the RTHMAP(x) marker range from 5 to 10 ms. We eliminate these few abnormal sites and then compute the average absolute difference mean, the associated standard deviations, and correlation coefficients for both discrepancies (|RTeg – RTtap| and |RTHMAP – RTtap|). These are reported in Table 1 for protocols SA and SB.
View this table:
[in this window]
[in a new window]
|
Table 1. Comparison of markers RTtap, RTeg, and RTHMAP and markers RT90tap and RT90HMAP over the epicardial exploring sites
|
|
Because another widely used marker of TAP repolarization time is the RT90tap (when TAP reaches 90% of its resting value during the downstroke phase), we also compute this additional marker and compare it with the analogous marker RT90HMAP computed for the HMAP waveform. As before, in protocol SA, we find only two sites where the difference |RT90HMAP – RT90tap| is >10; in protocol SB, however, we find eight sites. After eliminating these few abnormal sites, we compute the same quantities as we did for the other markers; results are shown in Table 1. Again, the two markers are highly correlated, and the mean and SD values are only slightly worse than for the other markers.
Overall, the mean values for the marker discrepancies reported in Table 1 range from 1.1 to 1.6 ms and the SD values range from 0.9 to 2.2 ms. These are small values compared with the repolarization times in our tests, which vary from 171 to 291 ms in protocol SA (Fig. 2, left) and from 134 to 298 ms in protocol SB (Fig. 2, right), implying a considerable dispersion of repolarization time amounting to
120 ms in protocol SA and to
164 ms in protocol SB.
Figure 7 displays the variability of the discrepancy between the markers RTeg and RTHMAP (RT90HMAP) with respect to the gold standard (or benchmark or reference) marker RTtap (RT90tap) for both stimulation protocols. These data confirm the high correlation and very good agreement between the EG and HMAP markers and the TAP ones. Moreover, the error dispersion of all markers, displayed in Fig. 7, shows that, except for a few sites, the magnitude of these discrepancies yields the small mean and SD values of Table 1. These small errors should not alter the main qualitative patterns of the repolarization sequences determined with the different markers.

View larger version (26K):
[in this window]
[in a new window]
|
Fig. 7. Marker discrepancies on the epicardium: RTtap – RTeg (row 1), RTtap – RTHMAP (row 2), RTHMAP – RTeg (row 3), RT90tap – RT90HMAP (row 4). RT90, time when 90% of resting value is reached. Left: protocol SA. Right: protocol SB.
|
|
Previously, our group (6) found that the time RTd2eg, defined as the time of minimum second derivative of EGx(t) during the T wave, is a valuable extracellular marker for estimating the TAP marker RT90tap. The T wave of the EGs exhibits different polarities depending on the exploring site, i.e., positive, negative, and biphasic T waves. In Fig. 8, we compare the performance of markers RTHMAP and RT90HMAP with markers RTeg and RT2deg, at the same three sites exhibiting EGs with different polarities, showing the polarity independence of the markers.

View larger version (17K):
[in this window]
[in a new window]
|
Fig. 8. Waveforms at epicardial exploring sites A1 = (11,3), A2 = (3,3), and A3 = (11,12) using protocol SA. Top: in each column, we display the scaled and shifted version of the TAPx(t), given by Eq. 3 (top), EGx(t) (middle), and HMAPx(t) (bottom). The vertical solid, dot-dashed, and dashed lines indicate the markers RTtap, RTeg, and RTHMAP, respectively. Bottom: same format as in top, but the vertical solid, dot-dashed, and dashed lines indicate the markers RT90tap, RTd2eg, and RT90HMAP, respectively. The RTd2eg marker is given by the time of minimum of the second derivative of EGx(t) during the T wave.
|
|
 |
DISCUSSION
|
|---|
We first ran the bidomain model for 500 ms and then applied a local stimulus either close (protocol SA) or away (protocol SB) from the PD site. The first 500 ms of simulation are needed because the TAP above threshold within the PD zone generates a spontaneous beat that sweeps the domain in
400 ms, and after 500 ms the tissue is fully recovered. We included the main structural and functional features of the tissue representation, such as intramural fiber rotation, orthotropic anisotropy of the intra- and extracellular media, unequal anisotropy ratio for the intra- and extracellular media, the phase I Luo-Rudy membrane model, a small epi-subepicardial zone PD site, and a strong APD heterogeneity due to the presence of a short APD region.
For exploring sites close to the PD zone, the model predictions show HMAPs that match very well all of the morphological features of the scaled TAP of Eq. 3 from the same sites.
For exploring sites away from the PD zone, the simulated HMAP displays a monophasic component with a shape similar to the downstroke phase of the associated STAP. In these HMAPs, the reference potential is filtered out, as in close-bipolar MAP signals, but the HMAP is contaminated by far-field potentials. In fact, HMAPs show two initial upstrokes and also an hyperpolarization ending phase. When the stimulation site is away from the PD zone (protocol SB), the monophasic portion of the HMAP begins when excitation reaches the PD zone. However, the model also shows that the HMAP downstroke reflects the repolarization activity near the exploring site and RTHMAP reproduces the moment of fastest repolarization of the TAP marked by RTtap. Because both the TAP and EG are available in our simulations at the same exploring site (unlike in experimental works), we have been able to show that RTHMAP is a reliable and accurate estimate of RTtap (see Table 1). This correlation between the two markers is particularly evident when moving the exploring site on the epicardial face or along a transmural needle; when the exploring site crosses the short APD region, the HMAP downstroke phase suddenly reduces its duration according to the TAP duration, independently of the stimulation protocol. Therefore, the origin of the monophasic portion of the HMAP complex cannot be attributed only to the unipolar EG recorded at the fixed PD site. In this regard, our simulations agree with the findings obtained with the HMAP recording techniques of Antzelevich and colleagues (29, 55). In fact, we have shown that the marker RTHMAP detects the TAP fastest repolarization time in the short APD region, whereas one might have expected that the longer repolarization time RTd of the PD site would have influenced the outcome and resulted in a longer repolarization time for sites inside the short APD region.
In protocols SA and SB, the EGds show an initial rise that is followed by a deflection when excitation reaches the sites around the boundary of the PD zone, followed again by the appearance of the monophasic component. It is believed that this EGd monophasic component represents a wide field of view (or a far-field view). As mentioned previously (35), the electric potential at the center of the PD area should reflect the average transmembrane potential of the cardiomyocytes. Our simulations allow us to verify this assertion by computing at every time instant the space average of the transmembrane potential distribution over the slab. In Fig. 9, we display the space average of TAPx(t) [i.e., CR(t) = 
HTAPx(t)dx] superimposed with EGd(t) for protocols SA and SB. The comparison shown in Fig. 9 confirms that, apart from a scaling factor, the extracellular potential at the PD zone yields a measurable estimate of the average transmembrane potential of the cardiomyocytes, not accessible in experimental recordings.
This suggests the following synthesis of the two simulated monophasic signals TAPx(t) and CR(t):
 | (4) |
The comparison between the resulting waveform CEGx(t), given by Eq. 4, and EGx(t) at two exploring sites is shown in Fig. 10 for protocols SA and SB. Despite some discrepancies in the QRS complex and in the T wave, the CEGx(t) exhibits the main morphological features of the extracellular waveform EGx(t). As in the virtual experiment of Eq. 4, the extracellular waveform EGx(t) at the exploring site can be viewed as the result of the difference between two monophasic waveforms, a fixed one related to a far-field potential and the other related to a rough approximation of the TAPx(t). This consideration supports the fact that, even if the HMAP is a contaminated approximation of the scaled TAP, a good estimate of the times of fastest repolarization and of 90% of the resting value can be detected from the HMAP downstroke. By comparing the T wave of CEGx(t) and EGx(t) at exploring sites exhibiting different T-wave polarities (see Fig. 11, displaying the waveforms related to the three sites), we see that a strong determinant of the T-wave morphology of the EGx(t) is the reference potential. In addition to the remarkable similarity of EGx(t) and CEGx(t) in Figs. 10 and 11, the differences of these two waveforms allow us to estimate the influence of the unequal anisotropy ratio on the extracellular waveforms (see APPENDIX for a mathematical derivation of this conclusion).
Regarding the remote repolarization associated with the time of the EGx(t) minimum downslope during the T wave, we have not found any relationship with the time of the minimum downslope of the EGd(t) monophasic component. Only at some exploring site close to the stimulation site, a small difference between these time markers is observed.
In this study, we have considered an anisotropic three-dimensional structure fully insulated. A recent study by Okamoto et al. (37) considered an isotropic sheet embedded into a conducting medium and presents two-dimensional results in agreement with our study, indicating that our conclusions might hold also for noninsulated domains.
Conclusions.
The results of our bidomain simulations, obtained in a fully insulated slab with unequal anisotropy ratio and orthotropic anisotropy, bring us to the following conclusions.
First, the initial portion of the HMAP is the superimposition of local and remote excitations and displays two upstroke complexes, one elicited by the excitation underneath the exploring site and another elicited by the activation near the PD zone. These two interfering complexes are well separated at exploring sites distant from the PD zone (see Figs. 5 and 6), whereas they partially overlap at exploring sites near the PD zone (see Fig. 3). Moreover, when the stimulation site is away from the PD zone, the monophasic portion of the HMAP appears at the time of the arrival of the excitation near the PD zone (see Fig. 6). These predictions on the initial phase of the HMAP are in agreement with the recent experimental in vivo data of Coronel et al. (11).
Second, the HMAP downstroke phase contains reliable information about the local repolarization activity at the exploring site, i.e., RTHMAP is a reliable and accurate estimate of RTtap, as shown by two critical tests (SA and SB) on a cardiac slab with a drastically shorter APD (50% of normal) in a given region. In both protocols SA and SB, RTHMAP performed slightly better than the RTeg marker. At the same time, the results show that RTHMAP and RTeg have no relationship with RTd of minimum downslope of the EG of the PD site. Thus the HMAP monophasic portion, even if contaminated by the superposition of local and remote repolarization activities with far-field contributions, contains valuable information about the local repolarization activity, as noted previously (26, 35). These conclusions are in agreement with the results from in situ canine ventricular wall (55) and from in vitro ventricular wedge preparations (29). We remark that our simulations allow us to evaluate the accuracy of markers coming from both close-bipolar MAPs similar to the MAPs by Franz and from distant bipolar HMAPs by Antzelevich and colleagues, depending on the location of the exploring site.
Previous experimental data (11) demonstrated that the local T-wave interferes with the end of the HMAP, i.e., the downslope of the T wave is a sign of remote repolarization. This fact does not exclude that the HMAP downstroke phase contains sufficient information to recover the reference repolarization times RTtap and RT90tap. We remark that our results also show that the RT90HMAP marker, related to the ending of the repolarization phase, is less accurate than the RTHMAP estimates of fastest repolarization, due to a more critical interference of the local T wave with the HMAP downstroke.
Third, we have also shown that EGd of the depolarized PD site is an estimate of a far-field potential given by a scaled version of the TAP space average over the slab volume.
Finally, we have also shown that intramural HMAPs are compound waveforms as well. Although they are affected by far-field contributions, HMAPs can reliably detect the TAP repolarization time. Preliminary results (6) for a cardiac slab with intramural heterogeneities (1, 39) demonstrated that RTeg is still a reliable and accurate estimate of RTtap. The extension of this analysis to RTHMAP will require further investigation.
In conclusion, HMAP is a new method for detecting recovery times in electrical wave forms recorded directly from the heart muscle. This procedure offers several advantages compared with the "maximum derivative" method: the maximum derivative method is difficult to implement when the T wave is flat or the ST interval is a linear ramp. The unipolar T wave is the sum of a component generated by the effect of repolarization potentials from the entire heart on the extracellular potential at the explored site, plus the "reference drift" component (8, 50), which brings about a progressive shift from positive to biphasic to flat to negative T waves. The HMAP waveforms are not affected by the drift of the reference, which is cancelled out because both electrodes are in contact with the heart. As a result, the HMAP always has a shape that resembles a TAP and the downstroke is always easily detectable. On the other hand, the upstroke of the HMAP is contaminated by far-field potentials, and this may make it difficult to detect the beginning of the local TAP and, as a consequence, the assessment of the APD and the activation recovery interval (ARI). Combining the unipolar EG for excitation time and the HMAP for recovery time seems to offer the best approach for an accurate estimate of excitation time, recovery time, and APD. Even if we cannot claim that our HMAP marker RTHMAP is always better than the EG marker RTeg, we have shown in this study that the former can be a valuable alternative when the latter fails. Moreover, our investigation has shown that, from HMAP signals, it is possible to detect the repolarization time marker RT90tap, whose estimate from the EG, requiring time second derivatives, is problematic when applied to signals affected by noise. Finally, our results show that RTtap can be reliably estimated from both RTeg and RTHMAP and similarly RT90tap can be reliably estimated from RT90HMAP, independently of T-wave polarity, repolarization sequence (protocols SA and SB), and different intrinsic properties of the cell membrane.
Limitations.
Because of the high computational costs of our accurate three-dimensional parallel simulations (each one requiring 2 beats: one elicited by the depolarized PD zone and the other by the local stimulation SA or SB), we had to limit our study to the LR1 ionic model and to an insulated myocardial slab of limited dimensions. Therefore, the extension of our conclusions to larger and anatomically accurate heart geometries needs further research. We hope to be able to extend our simulations to larger cardiac tissue preparations by using the new generation of multicore parallel computers that will become available to us in the near future.
In future studies, the use of more complex ionic models (including more detailed ionic currents and calcium concentrations) (43) with noninsulated heart surfaces is warranted. This will introduce additional field components, contributing to the information content of the HMAP downstroke phase. A recent study (37), based on two-dimensional simulations in a noninsulated isotropic cardiac sheet, indicated that the HMAP reflects the activity of the exploring site, in agreement with the present study, but the effect of an endocardial surface wetted by blood deserves a deeper investigation in an anisotropic three-dimensional structure.
Finally, we remark that the study of the clinical applications of our findings is beyond the scope of our theoretical investigation.
 |
APPENDIX
|
|---|
To motivate the particular scale factor introduced for the TAPx(t) in Eq. 3, we first introduce the bulk conductivity tensor D(x) = Di(x) + De(x) given by
 | (5) |
where
l,t,n =
l,t,ne +
l,t,ni. We then consider the difference between the conductivity tensor Di(x) and a suitable scaled version of the bulk conductivity tensor D(x)
 | (6) |
If we choose the scale factor
 | (7) |
 | (8) |
Because the principal axes are orthogonal, al(x)alT(x) + at(x)atT(x) + an(x)anT(x) = I, the identity matrix, and we have at(x)atT(x) + an(x)anT(x) = I – al(x)alT(x). By substituting this expression in Eq. 8, it follows that the tensor Di(x) can be decomposed in terms of the bulk conductivity tensor D(x) as
 | (9) |
with
= (
ti –
ni)/(
t –
n),
=
ti – 
l, and
=
ti – 
t =
ni –
n. For media having equal anisotropy ratio, i.e.,
=
li/
le =
ti/
te =
ni/
ne, we have Di(x) =
D(x), with
=
/(1 +
), thus
=
= 0. After the starting stimulus, the addition of the two first equations of the bidomain system (Eq. 1) yields
and since ui = v + u, it follows
In the ideal situation of equal anisotropy ratio, we have Di =
D and therefore
 | (10) |
Similarly, the insulating conditions nTDi
ui = nTDe
ue = 0 imply nTD
(
v + ue) = 0.
The solution of Eq. 10 with this boundary condition must then be constant in space, i.e.,
with CR(t) = constant in space. In this ideal situation, if we choose as a reference potential the average extracellular potential on the slab volume, then from the bidomain system (Eq. 1) in an insulated slab, it follows that the unipolar EGs are given by
 | (11) |
Therefore the comparison between the two waveforms EGx(t) and CEGx(t) should yield an estimate of the influence of the media unequal anisotropy ratio on the potential fields. This equation explains the choice of the scaled version of TAP given in Eq. 3.
 |
GRANTS
|
|---|
This work was partially supported by MIUR Grants PRIN 2005013982-002 and 2005013982-003 of the Istituto di Matematica Applicata e Tecnologie Informatiche, Pavia, Italy, of the Istituto Nazionale di Alta Matematica, Roma, Italy, and by an award from the Nora Eccles Treadwell Foundation and the Richard A. and Nora Eccles Harrison Fund for Cardiovascular Research.
 |
FOOTNOTES
|
|---|
Address for reprint requests and other correspondence: P. Colli Franzone, Dipartimento di Matematica, Universita' degli Studi di Pavia, Via Ferrata 1, 27100 Pavia, Italy (e-mail: colli{at}imati.cnr.it)
The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
 |
REFERENCES
|
|---|
- Antzelevitch C, Fish J. Electrical heterogeneity within the ventricular wall. Basic Res Cardiol 96: 517–527, 2001.[CrossRef][Web of Science][Medline]
- Balay S, Buschelman K, Gropp WD, Kaushik D, Knepley M, Curfman McInnes L, Smith BF, Zhang H. PETSc Home Page (Online). http://www.mcs.anl.gov/petsc [August 29, 2007].
- Cates AW, Pollard AE. A model study of intramural dispersion of action potential duration in the canine pulmonary conus. Ann Biomed Eng 26: 567–576, 1998.[CrossRef][Web of Science][Medline]
- Clayton RH, Holden AV. Propagation of normal beats and re-entry in a computational model of ventricular cardiac tissue with regional differences in action potential shape and duration. Prog Biophys Mol Biol 85: 473–499, 2004.[CrossRef][Web of Science][Medline]
- Colli Franzone P, Guerri L, Taccardi B. Spreading of excitation in 3-D models of the anisotropic cardiac tissue. I. Validation of the eikonal approach. Math Biosci 113: 145–209, 1993.[CrossRef][Web of Science][Medline]
- Colli Franzone P, Pavarino LF, Scacchi S, Taccardi B. Determining recovery times from transmembrane action potentials and unipolar electrograms in normal heart tissue. In: FIMH07, edited by Sachse FB and Seemann G. New York: Springer LNCS, 2007, vol. 4466, p. 139–149.
- Colli Franzone P, Pavarino LF. A parallel solver for reaction-diffusion systems in computational electrocardiology. Math Mod Meth Appl Sci 14: 883–911, 2004.[CrossRef]
- Colli Franzone P, Guerri L, Pennacchio M, Taccardi B. Anisotropic mechanisms for multiphasic unipolar electrograms. Simulation studies and experimental recordings. Ann Biomed Eng 28: 1–17, 2000.[CrossRef][Web of Science][Medline]
- Colli Franzone P, Guerri L, Taccardi B. Modeling ventricular excitation: axial and orthotropic effects on wavefronts and potentials. Math Biosci 188: 191–205, 2004.[CrossRef][Web of Science][Medline]
- Colli Franzone P, Pavarino LF, Taccardi B. Effects of transmural electrical heterogeneities and electrotonic interactions on the dispersion of cardiac repolarization and action potential duration: a simulation study. Math Biosci 204: 132–165, 2006.[CrossRef][Web of Science][Medline]
- Coronel R, de Bakker JM, Wilms-Schopman FJ, Opthof T, Linnenbank AC, Belterman CN, Janse MJ. Monophasic action potentials and activation recovery intervals as measures of ventricular action potential duration: Experimental evidence to resolve some controversies. Heart Rhythm 3: 1043–1050, 2006.[CrossRef][Web of Science][Medline]
- Costa KD, May-Newman K, Farr D, O'Dell WG, McCulloch AD, Omens JH. Three-dimensional residual strain in midanterior canine left ventricle. Am J Physiol Heart Circ Physiol 273: H1968–H1976, 1997.[Abstract/Free Full Text]
- Efimov IR, Ermentrout B, Huang DT, Salama G. Activation and repolarization patterns are governed by different structural characteristics of ventricular myocardium: experimental study with voltage-sensitive dyes and numerical simulations. J Cardiovasc Electrophysiol 7: 512–530, 1996.[Web of Science][Medline]
- Eijma J, Martin D, Eagle C, Sherman Z, Kunimoto S, Gettes LS. Ability of activation recovery intervals to assess action potential duration during acute no-flow ischemia in the in situ porcine heart. J Cardiovasc Electrophysiol 9: 832–844, 1998.[Web of Science][Medline]
- Entcheva E, Trayanova NA, Clayton FJ. Patterns of and mechanisms for shock-induced polarization in the heart: a bidomain analysis. IEEE Trans Biomed Eng 46: 260–271, 1999.[CrossRef][Web of Science][Medline]
- Franz MR. Monophasic action potentials recorded by contact electrode method: genesis, measurements, and interpretation. In: Monophasic Action Potentials: Bridging Cells to Bedside. Armonk NY: Futura, 2000, p. 19–45.
- Franz MR. Current status of monophasic action potential recording: theories, measurements and interpretation. Cardiovasc Res 41: 25–40, 1999.[Free Full Text]
- Franz MR. What is a monophasic action potential recorded by Franz contact electrode? Cardiovasc Res 65: 940–941, 2005.[Free Full Text]
- Gepstein L, Hayam G, Ben-Haim SA. Activation-recovery coupling in the normal swine endocardium. Circulation 96: 4036–4043, 1997.[Abstract/Free Full Text]
- Gima K, Rudy Y. Ionic current basis of electrocardiographic waveforms. A model study. Circ Res 90: 889–896, 2002.[Abstract/Free Full Text]
- Haws CW, Lux RL. Correlation between in vivo transmembrane action potential durations and activation-recovery intervals from electrograms. Circulation 81: 281–288, 1990.[Abstract/Free Full Text]
- Henriquez CS. Simulating the electrical behavior of cardiac tissue using the bidomain model. Crit Rev Biomed Eng 21: 1–77, 1993.[Web of Science][Medline]
- Henriquez CS, Muzikant AL, Smoak CK. Anisotropic, fiber curvature, and bath loading effects on activation in thin and thick preparations: simulations in a three-dimensional bidomain model. J Cardiovasc Electrophysiol 7: 424–444, 1996.[Web of Science][Medline]
- Janse M, Sosunov E, Coronel R, Opthof T, Anyukhovsky JMT, Baker Plotnikov A, Shlapakova IN, Danilo P, Tijssen JG, Rosen MR. Repolarization gradients in the canine left ventricle before and after induction of short-term cardiac memory. Circulation 112: 1711–1718, 2005.[Abstract/Free Full Text]
- Joyner RW. Modulation of repolarization by electrotonic interactions. Jpn Heart J 27: 167–183, 1986.[Medline]
- Jungschleger JG, Vos MA. Hybrid action potential etiology. J Cardiovasc Electrophysiol 11: 946–948, 2000.[Web of Science][Medline]
- Kleber AG, Rudy Y. Basic mechanisms of cardiac impulse propagation and associated arrhythmias. Physiol Rev 84: 431–488, 2004.[Abstract/Free Full Text]
- Knollmann BC, Tranquillo J, Sirenko SG, Henriquez C, Franz MR. Microelectrode study of the genesis of the monophasic action potential by contact electrode technique. J Cardiovasc Electrophysiol 13: 1246–1252, 2002.[CrossRef][Web of Science][Medline]
- Kondo M, Nesterenko V, Antzelevitch C. Cellular basis for the monophasic action potential. Which electrode is the recording electrode? Cardiovasc Res 63: 635–644, 2004.[Abstract/Free Full Text]
- LeGrice JL, Smaill BH, Chai LZ, Edgar SG, Gavin JB, Hunter PJ. Laminar structure of the heart: ventricular myocyte arrangement and connective tissue architecture in the dog. Am J Physiol Heart Circ Physiol 269: H571–H582, 1995.[Abstract/Free Full Text]
- Lesh MD, Pring M, Spear JF. Cellular uncoupling can unmask dispersion of action potential duration in ventricular myocardium. Circ Res 65: 1426–1440, 1989.[Abstract/Free Full Text]
- Luo C, Rudy Y. A model of the ventricular cardiac action potential: depolarization, repolarization, and their interaction. Circ Res 68: 1501–1526, 1991.[Abstract/Free Full Text]
- Muzikant AL, Hsu EW, Wolf PD, Henriquez CS. Region specific modeling of cardiac muscle: comparison of simulated and experimental potentials. Ann Biomed Eng 30: 867–883, 2002.[CrossRef][Web of Science][Medline]
- Nesterenko VV, Kondo M, Antzelevitch C. Biophysical basis for monophasic action potential. Cardiovasc Res 65: 942–944, 2005.[Free Full Text]
- Nesterenko VV, Weissenburger J, Antzelevitch C. Hybrid action potential etiology. Cellular basis and method for recording the monophasic action potential. J Cardiovasc Electrophysiol 11: 948–951, 2000.[CrossRef][Web of Science]
- Neu JS, Krassowska W. Homogenization of syncitial tissues. Crit Rev Biomed Eng 21: 137–199, 1993.[Web of Science][Medline]
- Okamoto Y, Kondo M, Mashima S. The genesis of injury potentials. The role of recording electrodes at different locations. Int Heart J 47: 617–628, 2006.[CrossRef][Web of Science][Medline]
- Pennacchio M, Savarè G, Colli Franzone P. Multiscale modeling for the bioelectric activity of the heart. SIAM J Math Anal 37: 1333–1370, 2006.[CrossRef]
- Poelzing S, Akar FG, Baron E, Rosenbaum DS. Heterogeneous connexin43 expression produces electrophysiological heterogeneities across ventricular wall. Am J Physiol Heart Circ Physiol 286: H2001–H2009, 2004.[Abstract/Free Full Text]
- Punske BB, Ni Q, Lux RL, MacLeod RS, Ershler PR, Dustman TJ, Allison MJ, Taccardi B. Spatial methods of epicardial activation time determination in normal hearts. Ann Biomed Eng 31: 781–792, 2003.[CrossRef][Web of Science][Medline]
- Qu Z. Dynamical effects of diffusive cell coupling on cardiac excitation and propagation: a simulation study. Am J Physiol Heart Circ Physiol 287: H2803–H2812, 2004.[Abstract/Free Full Text]
- Roth BJ. Action potential propagation in a thick strand of cardiac muscle. Circ Res 68: 162–173, 1991.[Abstract/Free Full Text]
- Rudy Y, Silva JR. Computational biology in the study of cardiac ionic channel in cell electrophysiology. Q Rev Biophys 39: 57–116, 2006.[CrossRef][Web of Science][Medline]
- Sampson KJ, Henriquez CS. Electrotonic influences on action potential duration dispersion in small hearts: a simulation study. Am J Physiol Heart Circ Physiol 289: H350–H360, 2005.[Abstract/Free Full Text]
- Spach MS, Barr RC, Serwer GA, Kootsey JM, Johnson EA. Extracellular potentials related to intracellular action potentials in the dog Purkinje system. Circ Res 30: 505–519, 1972.[Abstract/Free Full Text]
- Spach MS, Dolber PC. Relating extracellular potentials and their derivatives to anisotropic propagation at microscopic level in human cardiac muscle. Evidence for electrical uncoupling of side-to-side fiber connections with increasing age. Circ Res 58: 356–371, 1986.[Abstract/Free Full Text]
- Steinhaus BM. Estimating cardiac transmembrane activation and recovery times from unipolar and bipolar extracellular electrograms: a simulation study. Circ Res 64: 449–462, 1989.[Abstract/Free Full Text]
- Streeter D. Gross morphology and fiber geometry in the heart. In: Handbook of Physiology, edited by Berne RM. New York: Williams and Wilkins, 1979, vol. 1, Sect. 2, p. 61–112.
- Taccardi B, Macchi E, Lux RL, Ershler PR, Spaggiari S, Baruffi S, Vyhmeister Y. Effect of myocardial fiber direction on epicardial potentials. Circulation 90: 3076–3090, 1994.[Abstract/Free Full Text]
- Taccardi B, Veronese S, Colli Franzone P, Guerri L. Multiple components in the unipolar electrocardiogram: a simulation study in a three-dimensional model of ventricular myocardium. J Cardiovasc Electrophysiol 9: 1062–1084, 1998.[CrossRef][Web of Science][Medline]
- Tranquillo JV, Franz MR, Knollmann BC, Henriquez AP, Taylor DA, Henriquez CS. Genesis of the monophasic potential: role of interstitial resistance and boundary gradients. Am J Physiol Heart Circ Physiol 286: H1370–H1381, 2004.[Abstract/Free Full Text]
- Trayanova N, Malden L, Atkinson E. Computer model of monophasic action potential genesis. In: Monophasic Action Potential: Bridging Cell and Bedside, edited by Franz MR. Armonk, NY: Futura, 2000, chapt. 3, p. 47–69.
- Vigmond EJ. The electrophysiologic basis of MAP recordings. Cardiovasc Res 68: 502–503, 2005.[Free Full Text]
- Viswanathan PC, Shaw RM, Rudy Y. Effects of IKr and IKs heterogeneity on action potential duration and its rate dependence. A simulation study. Circulation 99: 2466–2474, 1999.[Abstract/Free Full Text]
- Weissenburger J, Nesterenko V, Antzelevitch C. Transmural heterogeneity of ventricular repolarization under baseline and long QT conditions in the canine heart in vivo: Torsade de Pointes develops with halothane but not pentobarbital anesthesia. J Cardiovasc Electrophysiol 11: 290–304, 2000.[Web of Science][Medline]
- Wilson LD, Jeyaraj D. Controversies in measuring repolarization using extracellular recordings: why should we care? Heart Rhythm 3: 1051–1052, 2006.[CrossRef][Web of Science][Medline]
- Wyatt RP. Comparison of estimates of activation and recovery times from bipolar and unipolar electrograms to in vivo transmembrane action potential durations. Proc IEEE/Eng Med Biol Soc 2nd Annual Conference, Washington, DC, 1980, p. 22–25.
- Xia Y, Kongstad O, Herterig E, Li Z, Holm M, Olsson B, Yuan S. Activation recovery time measurements in evaluation of global sequence and dispersion of ventricular repolarization. J Electrocardiol 38: 28–35, 2005.[CrossRef][Web of Science][Medline]
- Yuan S, Kongstad O, Hertervig E, Holm M, Grins E, Olsson B. Global repolarization sequence of the ventricular endocardium: monophasic action potential mapping in swine and humans. PACE 24: 1479–1488, 2001.[Medline]
- Yue AM, Paisey JR, Robinson S, Betts TR, Roberts PR, Morgan JM. Determination of human ventricular repolarization by noncontact mapping. Validation with monophasic action potential recordings. Circulation 110: 1343–1350, 2004.[Abstract/Free Full Text]
- Yue AM, Betts TR, Roberts PR, Morgan JM. Global dynamics coupling of activation and repolarization in the human ventricle. Circulation 112: 2592–2601, 2005.[Abstract/Free Full Text]
- Zipes D, Jalife J. Cardiac Electrophysiology (4th ed.). Philadelphia, PA: Saunders, 2004.
This article has been cited by other articles:

|
 |

|
 |
 
M. Potse, A. Vinet, T. Opthof, and R. Coronel
Validation of a simple model for the morphology of the T wave in unipolar electrograms
Am J Physiol Heart Circ Physiol,
August 1, 2009;
297(2):
H792 - H801.
[Abstract]
[Full Text]
[PDF]
|
 |
|
Copyright © 2007 by the American Physiological Society.