| Coupling Field Theory with Mesoscopic Dynamical Simulations of Multicomponent Lipid Bilayers Biophysical Journal, Volume 87, Issue 5, 1 November 2004, Pages 3242-3263 J. Liam McWhirter, Gary Ayton and Gregory A. Voth Abstract A method for simulating a two-component lipid bilayer membrane in the mesoscopic regime is presented. The membrane is modeled as an elastic network of bonded points; the spring constants of these bonds are parameterized by the microscopic bulk modulus estimated from earlier atomistic nonequilibrium molecular dynamics simulations for several bilayer mixtures of DMPC and cholesterol. The modulus depends on the composition of a point in the elastic membrane model. The dynamics of the composition field is governed by the Cahn-Hilliard equation where a free energy functional models the coupling between the composition and curvature fields. The strength of the bonds in the elastic network are then modulated noting local changes in the composition and using a fit to the nonequilibrium molecular dynamics simulation data. Estimates for the magnitude and sign of the coupling parameter in the free energy model are made treating the bending modulus as a function of composition. A procedure for assigning the remaining parameters in the free energy model is also outlined. It is found that the square of the mean curvature averaged over the entire simulation box is enhanced if the strength of the bonds in the elastic network are modulated in response to local changes in the composition field. We suggest that this simulation method could also be used to determine if phase coexistence affects the stress response of the membrane to uniform dilations in area. This response, measured in the mesoscopic regime, is already known to be conditioned or renormalized by thermal undulations. Abstract | Full Text | PDF (556 kb) |
| Competition between Protein Folding and Aggregation with Molecular Chaperones in Crowded Solutions: Insight from Mesoscopic Simulations Biophysical Journal, Volume 85, Issue 6, 1 December 2003, Pages 3521-3531 Akira R. Kinjo and Shoji Takada Abstract The living cell is inherently crowded with proteins and macromolecules. To avoid aggregation of denatured proteins in the living cell, molecular chaperones play important roles. Here we introduce a simple model to describe crowded protein solutions with chaperone-like species based on a dynamic density functional theory. As predicted by others, our simulations show that macromolecular crowding enhances the association of proteins and chaperones. However, when the intrinsic folding rate of the protein is slow, it is possible that crowding also enhances aggregation of proteins. The results of simulation suggest that, when the concentration of the crowding agent is as high as that in the cell, the association of the protein and unbound chaperone becomes correlated with the aggregation process, and that the protein-bound chaperones efficiently destroy the potential nuclei of aggregates and thus prevent the aggregation. Abstract | Full Text | PDF (507 kb) |
| Collective Decision Making in Bacterial Viruses Biophysical Journal, Volume 95, Issue 6, 15 September 2008, Pages 2673-2680 Joshua S. Weitz, Yuriy Mileyko, Richard I. Joh and Eberhard O. Voit Abstract For many bacterial viruses, the choice of whether to kill host cells or enter a latent state depends on the multiplicity of coinfection. Here, we present a mathematical theory of how bacterial viruses can make collective decisions concerning the fate of infected cells. We base our theory on mechanistic models of gene regulatory dynamics. Unlike most previous work, we treat the copy number of viral genes as variable. Increasing the viral copy number increases the rate of transcription of viral mRNAs. When viral regulation of cell fate includes nonlinear feedback loops, very small changes in transcriptional rates can lead to dramatic changes in steady-state gene expression. Hence, we prove that deterministic decisions can be reached, e.g., lysis or latency, depending on the cellular multiplicity of infection within a broad class of gene regulatory models of viral decision-making. Comparisons of a parameterized version of the model with molecular studies of the decision structure in the temperate bacteriophage are consistent with our conclusions. Because the model is general, it suggests that bacterial viruses can respond adaptively to changes in population dynamics, and that features of collective decision-making in viruses are evolvable life history traits. Abstract | Full Text | PDF (176 kb) |
Copyright © 2008 The Biophysical Society. All rights reserved.
Biophysical Journal, Volume 95, Issue 3, 1138-1150, 1 August 2008
doi:10.1529/biophysj.107.128207
Biophysical Theory and Modeling
Seth Weinberg*, Shahriar Iravanian† and Leslie Tung*,
, 
* Department of Biomedical Engineering, The Johns Hopkins University, Baltimore, Maryland
† Division of Cardiology, Emory University, Atlanta, Georgia
Address reprint requests to Dr. Leslie Tung.The electrical activity of the heart produces electric potentials that can be measured at the body surface. Potential differences between points on the body surface provide the electrocardiogram (ECG), a time-dependent signal that encompasses the collective electrical behavior of the heart. The ECG is used clinically to distinguish among different conduction patterns such as sinus rhythm, tachycardia, and fibrillation 1. For in silico, in vitro, or ex vivo cardiac model systems, the pseudo-ECG (pECG) provides a measure of the collective electrical behavior of the system. It has been applied to one- and two-dimensional computational models and two-dimensional slices or sheets of cardiac tissue. The value of the pECG, as evidenced by its usage in the literature, is its representation of tissue-level effects as a clinical-like waveform even though the waveform contains less information than complete maps of Vm. In doing so, results obtained from simplified experimental systems can be interpreted and understood from a clinical perspective. Furthermore, like the ECG, the presence of beat-to-beat variations in activation and/or repolarization patterns at a global level become apparent.
Experimentally, pECG has been measured in ex vivo preparations by bipolar electrodes placed on or around the tissue 2,3,4. However, when such recordings are unavailable or unfeasible to make, pECG can be computed from spatial maps of transmembrane potential (Vm). One approach that has been used is an ad hoc, difference method, which subtracts the average Vm from one-half of a myocardial tissue layer from the average of the other half, as was done for thin ventricular epicardial slices and atrial tissue 5,6,7,8.
An alternative method used a theoretical approach to compute the extracellular potential at a particular point in space (i.e., for a unipolar lead), based on the model's spatial distribution of Vm, 9. A unipolar lead voltage was computed at a certain distance from the end of a one-dimensional multicellular fiber of coupled cardiac cells meant to represent the transmural heterogeneities in the ventricles. A unipolar lead has also been utilized in two-dimensional computation models 10,11.
In this study, we theoretically derive the bipolar and unipolar pECGs for any desired lead location from optical recordings of Vm in a two-dimensional isotropic monolayer of cardiac cells. Further, we demonstrate that our expressions simplify to a weighted sum of Vm, scaled by two geometric functions. We then discuss the relative strengths and weaknesses of bipolar and unipolar pECGs, through examples of different patterns of electrical propagation in cultured cardiac cell monolayers. We show that computation of the pseudo-vectorcardiogram (pVCG), based on an orthogonal pair of bipolar leads, clearly illustrates the collective electrical behavior of the cells and can be used to distinguish among different types of electrical activity.
A computationally simple pECG can be obtained by subtracting the average of Vm from one-half of a cell sheet from that of the other half 6,12, which we refer to as the difference method. The pseudo-lead voltages along the x and y axes,
, are defined as
![]() | (1) |
![]() | (2) |
and
will be compared in the next section with the theoretically derived pseudo-lead voltages, pVx and pVy.We previously used the concept of a lead field to compute a bipolar pECG for cell monolayer experiments 13,14. Here, we generalize our approach and determine the pECG for any desired placement of lead electrodes. Let the cardiac cells occupy U, a circular two-dimensional area of radius R lying on the bottom of a semiinfinite bath. A bipolar lead is placed in the x direction, with electrodes at (a,0,h) and (−a,0,h), respectively (Figure 1AB). We define the pseudo-lead voltage, pVx, as
![]() | (3) |
![]() | (4) |
![]() | (5) |
, where Φi is the intracellular potential, and ax is the unit vector in the x direction 15. A similar expression can be written for the y component of Ji. Because Vm is equal to Φi–Φe, and because the cell monolayer lies in a conductive, semiinfinite bath (so that the extracellular potential Φe is <<Φi), gradients in Φi are approximately equal to gradients in Vm. Accounting for the possibility that sources can be randomly oriented,![]() | (6) |
![]() | (7) |
![]() | (8) |
![]() | (9) |
![]() | (10) |
. (G) Unipolar lead field. (H) Lead field magnitude along radial axis of unipolar lead field for increasing h (at a=R). For panels D–H, h is plotted from
in steps of
with
shown as the bold trace. The case of
is also plotted as the dashed trace. For panel F, a is plotted from R to 2R, in steps of 0.1R.The method outlined above can be generalized to any placement of electrode leads. For example, a bipolar lead oriented in the y direction and situated a distance h above the monolayer, with electrodes a radial distance of a from the center, would have a pseudo-lead voltage of
![]() | (11) |
![]() | (12) |
![]() | (13) |
, as the case where Lx is flat at the center of the monolayer (i.e., d2Lx/dx2, at x=0), then![]() | (14) |
are shown as bold traces in Figure 1DE, and are plotted in Figure 1F for increasing a. The width of the flat region can be defined to be that portion of the sensitivity curve along the primary axis that falls within 5% of the value in the center, in which case the width increases as h increases from 0 to just under
then decreases as h increases to a value of
and then increases again with further increases in h (not shown). Thus, measurement of the bipolar pECG becomes a compromise between the magnitude and uniformity of the lead sensitivity with an effective operating height at
. At
as a increases, the lead electrodes are farther from the monolayer and the width of the central region of uniform sensitivity increases, but sensitivity decreases (Figure 1F). For all bipolar pECGs, we used the parameters a=R and
and in our experiments, a=8.5mm. By comparison, in previous experimental studies we used the parameters a=R and h=0.5a13,14.To facilitate their calculation, pVx and pVy can be expressed as integrals of Vm rather than integrals of derivatives of Vm. Green's first identity for the divergence theorem in two dimensions (for any two continuous functions, ϕ and ψ) is
![]() | (15) |
, and substituting Eq. (15) into Eq. (8),![]() | (16) |
![]() | (17) |
![]() | (18) |
![]() | (19) |
![]() | (20) |
![]() | (21) |
![]() | (22) |
The ad hoc bipolar lead voltages (
) are also integrals (sums) of Vm (see Eqs. (1)) but have different weighting functions for Vm (
and
) compared with γx and γy, and do not include a boundary term at the perimeter of the monolayer (first term of Eq. (17)). The value
is a two-dimensional sign function, positive on one-half of the cell sheet and negative on the other half (Figure 2A). It is a coarse approximation of γx (see Eq. (19)) at
(Figure 2C). The value γx is also shown at other values of h (normalized to the maximum of γx at
). It increases sharply near the electrodes at
(Figure 2B) and becomes much flatter and linear in shape at
(Figure 2D). At large
, γx approaches a flat plane tilted around the y axis (Figure 2E). The value αx has a maximum amplitude directly below the electrodes, at θ=0 and π, and is zero in the y direction at θ=π/2 and −π/2 (Figure 2F). At
(Figure 2F, dashed black trace), αx has sharper peaks and a larger amplitude below the electrodes, compared with
(Figure 2D, solid black trace). At
(Figure 2F, dashed shaded trace), αx has a flatter angular dependence and a lower amplitude under the electrodes. At
(Figure 2F, solid shaded trace), αx is near zero at all locations. The amplitude of αx has been scaled by the ratio of the monolayer circumference to area (and normalized to the maximum of γx at
) to allow comparison with γx. At
, the maximum value of αx is <10% of γx. For increasing h, the amplitude of γx decreases at a faster rate than that of αx and therefore the relative weight of the boundary term increases.
and (B–E) theoretical method. For panels B–E,
,
,
, and
, respectively. (F) The value αx, computed by theoretical method is shown on a polar plot, with radial axis ranging from −0.2 to 0.2. For panel F,
(dashed black trace),
(solid black trace),
(dashed shaded trace), and
(shaded trace).The pseudo-vectorcardiogram (pVCG) is obtained by plotting pVy against pVx. For comparison, the pseudo-vectorcardiogram (pVCGD) is also obtained by plotting
against
.
A unipolar (single electrode) lead, placed at (a,b,h) with reference at infinity, can be used for pECG measurements instead of the bipolar leads. The derivation of the unipolar lead voltage pV0 closely follows that of the bipolar lead voltage. The unipolar lead was placed over the center of the monolayer (a=0, b=0) unless otherwise stated. The unipolar lead field, L0, is assumed to be for the case where the reference electrode is at infinity, and is given by
![]() | (23) |
![]() | (24) |
(where ρ is the radial distance from (a,b,0)), and then drops off with increasing ρ (Figure 1H). As h increases, the overall lead sensitivity decreases, and the peak moves radially outward. For comparison with the bipolar lead, h was taken to be
, for which the concavity of the sensitivity curve changes sign at the edge of the monolayer, at radius R (Figure 1H, bold trace).The unipolar lead voltage, pV0, is given by
![]() | (25) |
![]() | (26) |
![]() | (27) |
![]() | (28) |
![]() | (29) |
Our cell culture procedure to create cell monolayers has been previously described 11,12. Briefly, neonatal rat ventricular myocytes were dissociated from two-day-old Sprague-Dawley rat hearts with the use of the enzymes, trypsin, and collagenase. The resulting cell suspension was plated at high density onto plastic coverslips to form monolayers that became confluent after 3–4 days of culture. Experiments were performed on days 4–9 after plating. The data for each example presented is from a different cell monolayer.
Our method of optical mapping of cell monolayers has been previously described 17,18. Briefly, maps of transmembrane potential were recorded by placing the cell monolayer directly on top of a bundle of 253 optical fibers 1-mm in diameter, arranged in a tightly packed, 17-mm-diameter hexagonal array. During experiments, the cell monolayers were stained with 10μM di-4-ANEPPS, a fluorescent voltage-sensitive dye, and continually superfused with warmed (36±0.5°C) oxygenated Tyrode's solution (in mmol/L: 135 NaCl, 5.4 KCl, 1.8 CaCl2, 1 MgCl2, 0.33 NaH2PO4, 5 HEPES, 5 glucose). The fluorescent dye signal was relayed by the optical fiber bundle to an array of photodetectors and amplifiers, processed by custom-written software and converted into pseudo-colored maps of Vm.
To compare pVCGs calculated using the difference and theoretically derived methods, we first centered each pVCG at the origin by subtracting from Vx and Vy their respective mean values. We then determined the maximum excursion of the pVCG from the origin and normalized the radial distance of each pVCG point to that value. In this way, the pVCG lay within a unit circle. Using Eq. (30), we computed the root mean-square difference (RMSD) by taking the square root of the mean of the square of the difference (in percent) of the two traces at each time point,
![]() | (30) |
We show an example in Fig. 3 of a planar wave propagating across the monolayer that was initiated from a line electrode on the left side. The voltage map and isochrone map are shown in Figure 3AB, respectively. The wave is propagating across the monolayer primarily in the positive x direction, with a small component in the positive y direction. Both pVx and pVy are initially zero (Figure 3C a) and become positive (or negative) when the wavefront (or waveback) propagates across the monolayer. pVx and pVy are periodic at the pacing rate, larger during wavefront than waveback propagation (because of the larger transmembrane potential gradient), and approximately in phase with the same sign. It is possible for pVx and pVy to have opposite sign if the direction of propagation is toward the upper left or lower right (second or fourth quadrants) so that pVx is negative while pVy is positive, or vice versa. pVCG also reflects the direction of propagation and is oriented primarily in the x direction with a small component in the y direction (Figure 3D). The unipolar lead voltage pV0 (Figure 3C b) captures the general activity of planar wave propagation because there exists a component of the unipolar lead field (Figure 3H) that is oriented along the direction of propagation. However, pV0 does not indicate what the direction of propagation is, and it has a similar appearance for a wave propagating along any other direction across the monolayer.
We show a radial wave propagating outwardly from a point stimulus in Figure 4A. The position of the stimulus is slightly off-center by ∼1mm, toward the upper-left quadrant of the monolayer. Propagation terminates slightly sooner in the upper-left region, as seen in the isochrone map (Figure 4B). Because of the earlier termination of propagation in the upper-left region, residual propagation persists for a short time with an average direction toward the lower-right region. The x component (or y component) of the bipolar lead field is oriented in the same (or opposite) direction as the x (or y) component of the residual wave. Therefore, pVx (or pVy) shows positive (or negative) deflections during depolarization and negative (or positive) deflections during repolarization. pVx and pVy are approximately in phase with one another but have opposite signs (Figure 4C a, solid traces). The residual activity vector leads to large deflections in the pVCG in the lower right direction during depolarization and small deflections in the upper left direction during repolarization (Figure 4D, solid trace). To compute more balanced pECGs and pVCG, we can shift the lead placement so that the stimulus site is centered and then equalize the amount of tissue on all sides by taking an appropriate subset of optical recording sites. With this adjustment, the morphologies of pVx and pVy are altered (Figure 4C a, shaded traces), and pVCG remains close to the origin during wavefront propagation (Figure 4D, shaded trace). However, because the monolayer repolarizes nonuniformly in this example, the waveback propagates more slowly in the lower-right direction. This results in a pVCG that retains a small deflection in the upper-left direction (Figure 4D, shaded trace). pV0 measured with the lead placed over the middle of the monolayer (Figure 4C b, solid trace) or centered over the stimulus site (Figure 4C b, shaded trace) measures the radial component of propagation, and the two are nearly identical. In the latter case, the unipolar lead field (Figure 1G) is completely aligned with the direction of propagation.
In Fig. 5, a spiral wave is pinned to and propagating around a 3.5-mm-diameter hole near the center of the monolayer. pVx and pVy are periodic (at the rotation frequency of the spiral wave), sinusoidal, roughly equal in magnitude, and have an ∼90° phase difference (Figure 5C a, solid traces). pVCG is roughly circular (Figure 5D, solid trace), although with distinct bends because the hole is off-center and the amount of tissue differs on opposite sides of the hole. With a shift in the lead placement so that the hole is centered with equal amounts of tissue on all sides (like in the case of point stimulation), pVx and pVy are shifted slightly in time (Figure 5C a, shaded traces), and pVCG is more circular in shape (Figure 5D, shaded trace). Plotting pVCG in time (not shown) also reveals the direction of rotation (clockwise for this example). Slight variations in pVx and pVy amplitude and pVCG shape over successive cycles are due to small variations of the relative timing of the wavefront and waveback from cycle to cycle. With a unipolar lead placed directly above the center of the monolayer, a periodic waveform similar to albeit less sinusoidal than that obtained with the bipolar leads is observed (Figure 5C b, solid trace). Although the spiral wave moves primarily in a tangential direction perpendicular to the radially oriented unipolar lead field (Figure 1G), pV0 oscillates at the spiral wave period because of the offset position of the unipolar lead from the center of the hole, which renders components of the lead field to be more sensitive to the wave movement. However, if the lead position is shifted so that it lies over the center of the hole, the lead field is relatively insensitive to wavefront propagation. pV0 acquires a low-amplitude, harmonic component (Figure 5C b, shaded trace) at twice the reentry rate, which is a typical observation at the core of a spiral wave 6. Regardless of lead placement, pV0 does not contain information regarding the direction of rotation.
A figure-eight reentry was initiated by rapid pacing followed by a premature stimulus. The reentry wave consists of a pair of entrained spiral waves that rotate in opposite directions and merge during part of the cycle along a common pathway. In the example shown in Figure 6A, the axis of the common pathway (the open line delineating the collision site of the two spiral wave bands) happens to slowly rotate in the clockwise direction with successive cycles. The lead voltages are periodic at the rotation frequency of the reentry, and the phase difference between pVx and pVy varies during each cycle and from cycle to cycle (cycles shown with different colors, Figure 6B a). pVCG is elliptical in shape, with the primary axis parallel to the common pathway (Figure 6C). The primary axis of the ellipse rotates in the clockwise direction with successive cycles. pV0 is a noisy, irregular trace with varying frequency and amplitude, and information concerning the rotation frequency or common pathway of the reentry is absent (Figure 6B b).
In Figure 7A, point stimulation near the edge produces a wave propagating mostly in the positive y direction, with a small component in the negative x direction (0–60ms). The wave moves through a heterogeneous region in the center of the monolayer, where conduction velocity is slower. The next stimulated wave breaks (80–100ms) and forms a spiral wave anchored to the heterogeneous region (120–210ms). pVx and pVy have broad deflections during paced propagation and appear sinusoidal during spiral wave propagation (Figure 7B a). pVCG mirrors the direction of paced propagation−pVx is increasingly negative and pVy is increasingly positive during wavefront propagation, leading to a deflection in the upper-left direction. pVx, pVy, and pVCG all demonstrate the transition from paced propagation to a spiral wave and is clearest for pVCG (Figure 7B aC). The transition is also apparent in the phase difference between the two lead voltages, changing from ∼0° (with opposite sign) to ∼90°, as indicated by the decreased tilts of the vertical timing marks (compare blue versus corresponding red marks). Like pVx and pVy, the value pV0 shows a change in morphology upon the transition, with sharp deflections during paced propagation and a sinusoidal shape during the spiral wave (Figure 7B b).
A more complex transition between electrical behaviors is illustrated in Fig. 8. As shown in Figure 8A, the monolayer was initially paced from a point stimulus electrode near the edge (0ms). A heterogeneous region in the center of the monolayer caused wavebreak (20ms), leading to a figure-eight reentry after pacing ended (60–235ms). The figure-eight reentrant wave eventually transitioned into a single spiral wave rotating around the center region (705–955ms). For clarification, the times are colored differently during the three propagation patterns. The bipolar lead voltages transition from single deflections to sinusoids, as behavior changes from paced propagation to reentry (Figure 8B). The lead voltages are in phase with opposite sign during paced propagation and are on average ∼90° out of phase during spiral wave propagation, as shown by the decreased tilts of the vertical timing marks. The phase difference varies during figure-eight reentry. Both transitions are difficult to identify from a single lead voltage trace. However, pVCG differentiates the three behaviors clearly (Figure 8C). The initial pacing is illustrated by a fairly linear pVCG (red trace), which becomes elliptical for the figure-eight reentry (blue trace) and circular for the single spiral wave (green trace). Regarding pV0, it is not clear from this signal alone what type of propagation is initially present, although some kind of transition is evident by the large jump in amplitude after ∼600ms that is followed by a more sinusoidal shape. The transition from figure-eight reentry to single spiral wave also cannot be specifically identified, although some kind of transition is apparent by the appearance of a high frequency component during the last 700ms of the trace (Figure 8B b).
For comparison, pVCG was computed at other heights (
, and
) for the six examples presented earlier. pVCGs at
(Figure 9A) are distorted from the pVCGs at
(Figure 9B). For the planar wave, pVCG loses its linear shape. The spiral wave pVCG is less circular and has sharper corners. The figure-eight pVCG does not have a distinctly elliptical shape. The transition from paced propagation to spiral wave reentry (Transition 1) is identifiable, since the pVCG shape remains very different for the two behaviors. However, both the linear and circular shaped regions are distorted from their shapes at
. Finally, the transition from paced propagation to figure-eight reentry (Transition 2) is not discernible. pVCGs at
(Figure 9CD) are similar in all cases to pVCGs at
, although with lower amplitudes. Hence, we conclude that
is an effective operating height for the bipolar lead that yields lead signals that represent the global electrical behavior of the cell sheet in a manner akin to those of remote bipolar leads, while at the same time maintaining the amplitude of the signals (Fig. 1).
, (B)
, (C)
, (D)
, and pVCGD (E) for six cases of wavefront propagation. The example for the radial wave has been centered. Each plot has been normalized to its own peak amplitude. pVCGs computed at
,
,
, and
, have unnormalized relative amplitudes of ∼2.5, 1, 0.3, and 0.0042, respectively.pVCGD values calculated using the difference method are shown in Figure 9E for the six examples presented earlier using the theoretical approach. For the most part, pVCGD is similar to pVCG at
, with some notable differences. For the example of radial propagation, pVCGD does not show the small deflection found in pVCG owing to nonuniform repolarization, and for the anchored spiral wave, pVCGD is rotated relative to pVCG. For Transition 2, pVCGD is not as linear as pVCG during paced propagation, is more circular during the figure-eight reentry, and does not have as distinct a transition between figure-eight and single spiral wave reentry. We computed the root mean-square difference between normalized pVCG at
and normalized pVCGD, and the average percent error was 10.5% for all examples, with the largest differences for the radial (19.6%) and spiral (12.4%) waves.
Although not in prevalent use today 19, the VCG has been used clinically to provide morphological interpretation of the electrical phenomena of the heart and continues to have diagnostic advantages over the ECG in certain situations 20. The VCG was first constructed in the frontal plane, based on the Einthoven limb leads 21. Since then the VCG was expanded to three dimensions 22, and compound lead systems were proposed to generate a set of orthogonal, corrected leads that compensated for internal inhomogeneities in torso conductance and geometry 23,24,25. Lead field analysis of the commonly used VCG systems quantified the uniformity and sensitivity of the leads in each dimension 26. Although the two-dimensional sheet lying in a bath is much simpler compared with the whole heart lying in the torso, lead field analysis has not been applied in this context and can be used to determine the sensitivity of the recording leads for the pseudo-ECG to the underlying cellular transmembrane potentials.
In this article, we present a formulation of bipolar pECG and pVCG measurements of a two-dimensional cardiac sheet (cell monolayer) and analyze their dependence on lead placement. Further, we determine a mathematical relation for an effective operating height for the bipolar lead placed over opposite edges of the cell monolayer. Lead placement at half the effective height provides a pVCG that overweights the contribution of cells near the lead electrodes (Fig. 1), whereas pVCGs for bipolar leads at twice or 10-times
is similar to that at
(Fig. 9) but with lower amplitude. Therefore,
can serve as the operating height that balances global sensitivity and amplitude for pECG and pVCG computation.
Numerically calculated bipolar and unipolar leads have been used previously to approximate the clinical ECG for one- and two-dimensional studies 9,10,11,13. The numerical bipolar leads are analogous to the Einthoven limb leads, which measure the global activity of the heart. The numerical unipolar lead is analogous to the precordial leads, V1–V6 of the 12-lead system, that are placed on the chest to detect localized activity in the region of the heart closest to the lead 27,28. We find that for the case of a unipolar lead situated above a cardiac cell sheet, the unipolar pECG is most sensitive to activity near the electrode, but importantly, it is insensitive to activity at the point directly underneath the electrode (Figure 1H). This is because at that location, electrical propagation is perpendicular to the three-dimensional lead field. However, in the three-dimensional heart, electrical activity can propagate parallel to the lead field, and therefore, the precordial leads are most sensitive to activity directly underneath that is propagating toward (or away from) the electrode.
There is growing use of monolayers as an in vitro system for investigating cardiac electrical behavior 29,30, and optical maps of transmembrane potential have enabled the study of different patterns of electrical propagation, as well as transitions between them in the context of arrhythmia 31. Electrical recordings of the VCG would be a valuable adjunct to optical maps because of their succinct representation of the electrical behavior, but are technically very difficult to obtain, owing to the extremely small extracellular potentials generated by a monolayer of cells in a bath. If we consider a 17-mm-diameter cardiac monolayer with intracellular conductivity σi=2.5mS/cm 32, a monolayer thickness of 10μm 33, placed in a bath with conductivity σb=20mS/cm 34, and assume an action potential amplitude of 100mV 35, a maximum transmembrane voltage upstroke velocity, (dVm/dt)max, of 125V/s 36, and a conduction velocity of 25cm/s 37, an ECG measurement would have a peak value of ∼4μV. Instead, pECG (and pVCG) can be determined from the optical maps of Vm using the methodology described in this study. Further, Iravanian and Christini have recently shown that it is possible to process optical signals for real-time control capability 38. Since pECG is a weighted sum of Vm values, it can also be computed in real-time.
For two-dimensional propagation in cardiac cell monolayers, we have shown that the bipolar pVCG capably represents electrical propagation associated with plane waves, radial waves, reentrant spiral waves, figure-eight spiral waves, and transitions between them. Transitions from normal pacing behavior to a reentrant wave, or from a reentrant wave to multiple waves, are crucial cardiac events related to arrhythmia, and their detection is important. Plane waves appear as linear trajectories, radial waves as trajectories localized to the origin, single spiral waves as circles, and figure-eight spiral waves as ellipses. Phase differences between the bipolar lead voltages can also help to identify propagation patterns. The phase difference is ∼0° during paced propagation, 90° during spiral wave propagation, and variable during figure-eight reentries. In contrast, the unipolar pECG does not represent some of these electrical activities well nor the transition between them. Key information such as direction of propagation or frequency of reentry is missing or may be distorted.
Finally, with the advent of optical mapping of Vm from tissue surfaces, bipolar pECGs (lead voltages
) were calculated in previous studies by using an ad hoc method that subtracts the sum of Vm on one-half of the mapped area from the sum of the other half 5,6,7,8,12. However, we have shown that two sets of geometric functions are necessary to correctly sum Vm for circular cardiac cell monolayers (sheets)—one set (γx and γy) that is applied over the area of the monolayer and the other set (αx and αy) that is applied over the perimeter of the monolayer. Their usage produces bipolar lead voltages pVx and pVy that are biophysically based, and also fast to compute, compared with alternative calculations based on the gradients of Vm.
We thank Josh Cysyk, Joyce Lin, and Elizabeth Lipke for providing experimental data.
Funding for this work was provided by National Institutes of Health grants No. R01 HL66239, No. R21 RR017073, and No. R21 EB006171.
1. (1994). The Heart, Arteries and Veins. (New York: McGraw-Hill, Health Professions Division). PubMed
2. (2003). Reinduction of atrial fibrillation immediately after termination of the arrhythmia is mediated by late phase 3 early afterdepolarization-induced triggered activity. Circulation 107, 2355–2360. CrossRef | PubMed
3. (2002). Two types of ventricular fibrillation in isolated rabbit hearts: importance of excitability and action potential duration restitution. Circulation 106, 1859–1866. CrossRef | PubMed
4. (2004). Amplified transmural dispersion of repolarization as the basis for arrhythmogenesis in a canine ventricular-wedge model of short-QT syndrome. Circulation 110, 3661–3666. CrossRef | PubMed
5. (1998). Spatiotemporal periodicity during atrial fibrillation in the isolated sheep heart. Circulation 98, 1236–1248. PubMed
6. (1993). Spiral waves of excitation underlie reentrant activity in isolated cardiac muscle. Circ. Res. 72, 631–650. PubMed
7. (1995). Nonstationary vortexlike reentrant activity as a mechanism of polymorphic ventricular tachycardia in the isolated rabbit heart. Circulation 91, 2454–2469. PubMed
8. (1996). Incomplete reentry and epicardial breakthrough patterns during atrial fibrillation in the sheep heart. Circulation 94, 2649–2661. PubMed
9. (2002). Ionic current basis of electrocardiographic waveforms: a model study. Circ. Res. 90, 889–896. CrossRef | PubMed
10. (2007). Short-term cardiac memory and mother rotor fibrillation. Am. J. Physiol. Heart Circ. Physiol. 292, H180–H189. CrossRef | PubMed
11. (2005). Alternating conduction in the ischemic border zone as precursor of reentrant arrhythmias: a simulation study. Europace 7, (Suppl 2) 93–104. CrossRef | PubMed
12. (1993). Spiral wave activity: a possible common mechanism for polymorphic and monomorphic ventricular tachycardias. J. Cardiovasc. Electrophysiol. 4, 730–746. CrossRef | PubMed
13. (2003). Functional reentry in cultured monolayers of neonatal rat cardiac cells. Am. J. Physiol. Heart Circ. Physiol. 285, H449–H456. PubMed
14. (2007). Imaging fibrillation/defibrillation in a dish. J. Electrocardiol. 40, S62–S65. CrossRef | PubMed
15. (2007). Bioelectricity: A Quantitative Approach. (New York: Springer). PubMed
16. (1963). Reciprocity applied to volume conductors and the ECG. IEEE Trans. Biomed. Eng. 10, 9–12. PubMed
17. (2006). Spiral wave attachment to millimeter-sized obstacles. Circulation 114, 2113–2121. CrossRef | PubMed
18. (2000). Contact fluorescence imaging of reentry in monolayers of cultured neonatal rat ventricular myocytes. J. Cardiovasc. Electrophysiol. 11, 665–676. CrossRef | PubMed
19. (1988). A hundred years of progress in electrocardiography. 2: The rise and decline of vectorcardiography. Can. J. Cardiol. 4, 60–71. PubMed
20. (2007). Significance of vectorcardiogram in the cardiological diagnosis of the 21st century. Clin. Cardiol. 30, 319–323. CrossRef | PubMed
21. (1920). A method of analyzing the electrocardiogram. Arch. Intern. Med. 25, 283–294. PubMed
22. (1947). The substitution of a tetrahedron for the Einthoven triangle. Am. Heart J. 33, 594–603. CrossRef | PubMed
23. (1954). The image surface of a homogeneous torso. Am. Heart J. 47, 757–768. CrossRef | PubMed
24. (1961). An orthogonal lead system for clinical electrocardiography. Am. Heart J. 62, 93–100. CrossRef | PubMed
25. (1955). The present status of vectorcardiography. AMA Arch. Intern. Med. 96, 574–590. PubMed
26. (1964). A comparative analysis of several corrected vectorcardiographic leads. Circulation 29, S533–S545. PubMed
27. (1995). Bioelectromagnetism: Principles and Applications of Bioelectric and Biomagnetic Fields. (New York: Oxford University Press). PubMed
28. (2007). Recommendations for the standardization and interpretation of the electrocardiogram. Part I: The electrocardiogram and its technology: a scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Cardiology Foundation; and the Heart Rhythm Society: endorsed by the International Society for Computerized Electrocardiology. Circulation 115, 1306–1324. PubMed
29. (1999). Optical recording of impulse propagation in designer cultures. Cardiac tissue architectures inducing ultra-slow conduction. Trends Cardiovasc. Med. 9, 173–179. CrossRef | PubMed
30. (2006). Optical imaging of arrhythmias in tissue culture. J. Electrocardiol. 39, S2–S6. CrossRef | PubMed
31. (2004). Multiarm spirals in a two-dimensional cardiac substrate. Proc. Natl. Acad. Sci. USA 101, 15530–15534. CrossRef | PubMed
32. (1997).