A mathematical model for electrical stimulation of a monolayer of cardiac cells
© Srinivasan and Roth; licensee BioMed Central Ltd. 2004
Received: 08 October 2003
Accepted: 27 January 2004
Published: 27 January 2004
The goal of our study is to examine the effect of stimulating a two-dimensional sheet of myocardial cells. We assume that the stimulating electrode is located in a bath perfusing the tissue.
An equation governing the transmembrane potential, based on the continuity equation and Ohm's law, is solved numerically using a finite difference technique.
The sheet is depolarized under the stimulating electrode and is hyperpolarized on each side of the electrode along the fiber axis.
The results are similar to those obtained previously by Sepulveda et al. (Biophys J, 55: 987–999, 1989) for stimulation of a two-dimensional sheet of tissue with no perfusing bath present.
Pacemakers and defibrillators work by electrical stimulation of the heart. One way to learn more about electrical stimulation is to study very simple models, such as monolayers of cardiac cells . An important factor during stimulation is anisotropy, which means the tissue has different electrical properties in different directions. Cardiac tissue is anisotropic in that the individual myocardial cells are cylindrical with a length greater than their width, and the cells align with each other to form fibers. This geometry makes the electrical conductivity of the tissue greater parallel to the fibers than perpendicular to them. Cell monolayers can be grown with any fiber geometry, making them a particularly attractive model system [2, 3].
The goal of our study is to examine the effect of stimulating a two-dimensional sheet of cardiac tissue. We assume that the stimulating electrode is located in a bath perfusing the issue. In a previous study, Sepulveda et al.  simulated the electrical behavior of a two-dimensional sheet of tissue. They found that, when stimulated by a point cathode, the tissue near the cathode depolarized but adjacent regions hyperpolarized along the fiber direction. However, their model did not include a saline bath perfusing the tissue. Our study reexamines the results of Sepulveda et al., with particular emphasis on the effect of a perfusing bath.
The regions of depolarization and hyperpolarization (sometimes called "virtual electrodes") are important, because they are central to the mechanisms of make and break excitation [5, 6]. In make excitation, wave fronts of electrical activity initiate following the start of the stimulus pulse, and propagate outwards from regions of depolarization. In break excitation, tissue hyperpolarizes and de-excites during the stimulus pulse. After the pulse, wave fronts can propagate through this newly excitable tissue. Break wave fronts can initiate reentry [7, 8], and are thought to be important during defibrillation of the heart [9, 10]. These ideas can be illustrated online using a simple model of an excitable medium [11, 12]. Our results suggest that researchers can study these important phenomena using cell monolayers.
The equation governing a two-dimensional sheet of tissue perfused by a three-dimensional bath is similar to the equation derived by Rattay for a one-dimensional nerve axon . The tissue obeys the conservation of current,
where β is the ratio of membrane surface area to tissue volume, J m is the membrane current density, and J ix and J iy represent x and y components of the intracellular current density. Ohm's Law gives
J m = G m V m , (4)
where V i is the intracellular potential, V m is the transmembrane potential, G m is membrane conductivity per unit area, and σ ix and σ iy are the intracellular conductivities parallel to (x) and perpendicular to (y) the fiber axis. Substituting Eqs. (2), (3), and (4) into Eq. (1), and letting V i = V m + V e , we find that
where λ x and λ y are defined as
In order to solve Eq. (5), we must first determine the extracellular potential, V e . We assume that V e is from a point electrode in an infinite, homogeneous bath
We discretize Eq. (5) using a finite difference formula, and solve it using a relaxation method. The number of nodes in each direction is 100, the space step is 0.2 mm (implying a tissue size of 20 × 20 mm), σ e is 1 S/m, I is 1 mA, and d is 1 mm.
To test our numerical accuracy, we decrease the space step size to 0.05 mm and increase the number of nodes to 400 × 400 while keeping the tissue size fixed, and find that the maximum and minimum values of V m vary by about 1%. In another simulation, we keep the space step constant at 0.2 mm and increase the number of nodes to 400 × 400, thereby increasing the size of the tissue sheet to 80 mm × 80 mm. The maximum and minimum values of V m vary by 3%.
Figure 3 is our primary result. The transmembrane potential distribution is qualitatively similar to that calculated in a two-dimensional sheet by Sepulveda et al. . In particular, both calculations predict adjacent regions of depolarization and hyperpolarization near the stimulating electrode. The main difference between our calculation and theirs is the presence of a perfusing bath in our model. We therefore conclude that the qualitative distribution of transmembrane potential is insensitive to the perfusing bath. This result is important, because the adjacent regions of depolarization and hyperpolarization were responsible for break excitation and reentry induction. Experimenters should be able to study these phenomena using superfused cell monolayers.
Our results are quantitatively different than those of Sepulveda et al. . For instance, the peak depolarization in their calculation was infinite because they used a point electrode embedded in the sheet of tissue. We do not predict an infinite depolarization because our electrode is a distance d from the tissue sheet. One advantage of our calculation over Sepulveda et al.'s is that our stimulus current is expressed in milliamps whereas theirs is in meters-milliamps, as required by their fully two-dimensional model.
Our simulations are similar to those by Latimer and Roth , in which an electrode in an adjacent perfusing bath stimulated a three-dimensional slab of cardiac tissue. The main difference between our calculation and theirs is that their three-dimensional geometry implied certain boundary conditions on the potential and potential gradient at the tissue surface. In a three-dimensional model, a potential gradient can exist in the z-direction. Because the intracellular space is sealed, such an electric field polarizes the tissue within a few length constants of the surface . This boundary effect is not present in our model because the tissue sheet is two-dimensional and therefore cannot have a transmembrane potential gradient in the z-direction.
Our results in Fig. 2 are almost identical to the results found by Rattay when studying the stimulation of nerve axons. Rattay referred to the source term in his partial differential equation for V m as the "activating function" . Sobie et al.  have analyzed electrical stimulation of cardiac tissue using a similar concept. If we use this terminology, the expression on the right-hand-side of Eq. (5),
is the activating function.
One approximation that is implicit in our analysis is that the cell monolayer itself does not significantly perturb the extracellular potential distribution, so we can use Eq. (8) for V e . Rattay used a similar approximation for his analysis of nerve stimulation . If the monolayer is grown on glass or any other insulating substrate, as is commonly the case, then the substrate will perturb the extracellular potential. For a monolayer grown directly on the surface of the substrate, image analysis  implies that the extracellular potential experienced by the monolayer will still be equal to the expression given in Eq. (8), except for an additional factor of two. To prove this surprising result, consider the potential produced by two current sources in an unbounded bath, one at x = y = 0 and z = d, and the other at x = y = 0 and z = -d. Let both sources have the same strength and polarity. The resulting potential distribution will be a generalization of Eq. (8)
This potential distribution obeys Poisson's equation for z > 0, and has zero derivative in the z-direction at the surface z = 0. Because of the uniqueness of the solution to Poisson's equation, Eq. (10) must therefore be the potential produced by a point current source a distance d from an insulating surface. Throughout the bath, Eq. (10) predicts a different potential than does Eq. (8). This difference can be thought of as arising from secondary sources at the insulating boundary, which are correctly accounted for by the image method . However, at the surface z = 0 Eqs. (8) and (10) give identical results, except for a factor of two. This useful result means that a monolayer grown on an insulating surface will experience the same activating function as a monolayer grown in an infinite bath, except that the activating function is twice as large.
One interesting conclusion of our calculation is that the magnitude of the induced transmembrane potential varies inversely with the conductivity of the perfusing bath. This conclusion is true when the stimulating electrode is attached to a current source, as we assumed in our calculation (in our model, the stimulus current I is specified independently of the bath conductivity, the distance d, or any other parameters). If the conductivity of the bath increases, the magnitude of the induced polarization decreases (voltage drops are smaller for a given current), but the spatial distribution of V m is unchanged.
In conclusion, the transmembrane potential induced when stimulating a monolayer of cardiac cells is similar to the transmembrane potential distribution predicted by Sepulveda et al.  when analyzing stimulation of a two-dimensional sheet of cardiac tissue. The presence of a perfusing bath above the sheet changes the quantitative value of V m , but has little effect on its qualitative spatial distribution. Therefore, cell monolayers represent a well-controlled system which experimentalists could use to study break stimulation and the induction of reentry.
This research was supported by the National Institute of Health (RO1 HL57207).
For more information please contact BJ Roth (http://www.Oakland.edu/~roth
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