What do the lens and the heart have in common? Both tissues are made up of cells that are coupled together by gap junctions: small channels that connect the inside of one cell to the inside of its neighboring cells. To get from one cell to another, current does not have to cross the cell membrane and enter the extracellular space. Instead, it can just pass through the junctions, always remaining inside the cell (such a tissue is called a syncytium). This key feature underlies the bidomain concept, which treats the tissue as a two-phase medium, intracellular and extracellular, coupled by the membrane.
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| “Electrical Properties of Spherical Syncytia,” by Eisenberg, Barcilon, and Mathias. |
R. S. Eisenberg, V. Barcilon, and R. T. Mathias, “Electrical properties of spherical syncytia,” Biophysical Journal, Volume. 25, Pages 151–180, 1979.Both articles imagine that a microelectrode injects a current pulse into the intracellular space of a spherical lens. The general problem is too complicated for an undergraduate homework exercise, so I’ve simplified it considerably. First, I assume the current pulse has been on long enough that the system has reached steady state. Second, I assume the microelectrode injects current into the center of a lens of radius a (at the origin of a spherical coordinate system). Third, I ignore anisotropy, and assume the lens is an isotropic tissue. Fourth, and finally, the boundary conditions at the lens surface r = a complicate the analysis, so I avoid them by considering a very large lens (essentially, an unbounded tissue). With these assumptions, the homework problem is still difficult, but not prohibitively so.
A. Peskoff, “Electric potential in three-dimensional electrically syncytial tissues,” Bulletin of Mathematical Biology, Volume 41, Pages 163–181, 1979.
Section 7.9
Problem 31 ½. Consider a tissue represented using the bidomain model, with intracellular conductivity σi and extracellular conductivity σe. The cell membrane has a conductance per unit area Gm, and the surface area of cell membrane divided by tissue volume (the surface-to-volume ratio) is β. A current I0 is injected into the intracellular space at the origin (r = 0).
(a) Write the bidomain equations for the intracellular and extracellular potentials Vi and Ve (Eq. 7.32) in spherical coordinates (use Appendix L). Assume that the electrical potential varies only with the radial distance r, and not with angular variables θ and φ.
(b) The solutions to these equations are
Substitute these solutions into the equations from part (a) and find an expression for the tissue length constant λ in terms of σi, σe, Gm, and β.
(c) For r << λ, find approximations for Vi and Ve. Determine how each behaves as r goes to zero.
(d) For r >> λ, find approximations for Vi and Ve. They should both be the same. Find an expression for the “effective conductivity” of the tissue based on these expressions.
(e) Derive an expression for the transmembrane potential, Vm = Vi - Ve.
My advice: stop reading and solve the problem…
OK, for those who absolutely don’t have time to solve this yourself, let me outline the solution.
(a) The bidomain equations become
The delta function source term only appears in the intracellular equation because the current is injected into the intracellular space. Notice that the sign of the term corresponding to the membrane current (the one containing β) is different in the two equations. Current coming out of the intracellular space is current going into the extracellular space.
(b) When you substitute the solutions into the differential equations, you should find that they work if
(c) When r << λ, Vi is proportional to 1/r, while Ve is constant. Therefore, Vi goes to infinity as r goes to zero, but Ve remains finite.
(d) When r >> λ, both Vi and Ve are equal. They each fall off as 1/r and the conductivity factor that appears is σi + σe. This is the parallel combination of the intracellular and extracellular resistances, and can be thought of as the “effective” conductivity of the tissue.
(e) The first terms in the expressions for Vi and Ve, which contain the factor 1/r, cancel out when you take the difference to get Vm. Therefore, Vm falls off as e-r/λ/r. If you are more than a few length constants from the stimulating electrode, Vm is much smaller than either Vi or Ve. If you want to determine Vm by measuring Vi and Ve and taking their difference, you must record them very accurately, as you will be subtracting two big numbers to get a much smaller one, which is always susceptible to noise.
If you look at the derivations by Eisenberg et al. or Peskoff, you’ll find more complicated expressions than those given above, because they include time dependence, they don’t require the electrode to be at the center of the lens, and they consider a lens of finite radius rather than an unbounded tissue. I hope that this homework problem at least gives you a feel for their results.
Both Eisenberg et al.’s and Perkoff’s papers were published in 1979, just one year after Les Tung’s PhD dissertation and Walter Miller and David Geselowitz’s Circulation Research paper, two founding documents of the bidomain model. Moreover, Eisenberg, Mathias, and their collaborators had been publishing related studies for several years before the 1979 papers. They truly have a claim as critical contributors to the development of the bidomain model. To survey this body of work, see Eisenberg’s 2023 review in Modeling and Artificial Intelligence in Ophthalmology.
Robert Eisenberg is an emeritus faculty member at Rush University Medical Center in Chicago. He has a long history of using mathematical modeling and computer simulation to address issues in bioelectricity. His graduate study was at the University College London, where he studied under Andrew Huxley (of the Hodgkin and Huxley model) among others. Richard Mathias worked with Eisenberg at Rush during the era when the bidomain model was developed, and later was on the faculty at Stony Brook University. He not only looked at the lens electrical properties, but more importantly examined its fluid flow behavior using a model analogous to the electrical bidomain model. Because the lens is transparent, it cannot contain any blood vessels, so fluid flow in the intracellular and extracellular spaces is crucial for keeping the tissue perfused. Victor Barcilon (1939–2020) was an applied mathematician who worked for many years at the University of Chicago. Arthur Peskoff is with the UCLA School of Medicine.





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