Donate Help Contact The AHA Sign In Home
American Heart Association
Circulation Research
Search: search_blue_button Advanced Search
Circulation Research. 1999;84:153-156

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ranjan, R.
Right arrow Articles by Marbán, E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ranjan, R.
Right arrow Articles by Marbán, E.
Related Collections
Right arrow Pacemaker
Right arrow Cerebral Venous Thrombosis
(Circulation Research. 1999;84:153-156.)
© 1999 American Heart Association, Inc.


Original Contribution

A Novel Mechanism of Anode-Break Stimulation Predicted by Bidomain Modeling

Ravi Ranjan, Gordon F. Tomaselli, Eduardo Marbán

From the Department of Biomedical Engineering (R.R.) and the Section of Molecular and Cellular Cardiology (G.F.T., E.M.), Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Md. The current address for Dr Ranjan is Health Sciences and Technology, Harvard Medical School, Boston, MA 02115.

Correspondence to Eduardo Marbán, MD, PhD, Section of Molecular and Cellular Cardiology, 844 Ross Bldg, Johns Hopkins University School of Medicine, 720 Rutland Ave, Baltimore, MD 21205. E-mail marban{at}welchlink.welch.jhu.edu


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowMaterials and Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Abstract—Anodal stimulation by external pacemakers has been explained on the basis of bidomain models of cardiac tissue. Bidomain models predict that anodal stimuli will hyperpolarize the underlying tissue while adjacent regions become depolarized (virtual cathodes), initiating excitation. We investigated the contribution of active cellular properties to anode-break stimulation. A bidomain model was implemented in which each cell contained realistic ionic currents, including those recruited by hyperpolarization. Simulations reveal that anode-break excitation can originate at the site of stimulation itself and not only from adjacent regions of induced depolarization. The threshold for initiating excitation at the site of stimulation is lower than that for stimulation initiating from adjacent depolarized regions. Thus, incorporation of active cellular properties into a bidomain model predicts a novel mechanism for anode-break stimulation of the heart. The results will improve our understanding of anodal pacing and its risks and benefits in patients.


Key Words: pacemaker • excitation • quantitative modeling • anisotropy


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowMaterials and Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Experimentally, the mammalian heart can be activated by cathodal or anodal stimuli at both the make and break of the pulse.1 2 3 In fact, in early diastole, anodal-break stimulation has the lowest threshold,3 a phenomenon that may potentiate the risk of anodal pacing–induced ventricular fibrillation.4 In a bipolar pacing system, activation occurs from the lowest-threshold electrode, and at close coupling intervals, this may be the anode, increasing the risk of an arrhythmia, even during bipolar pacing. The mechanism of anodal stimulation remains controversial. The most plausible explanation emerges from bidomain models of cardiac tissue.5 6 Bidomain models, based on passive properties of the cardiac tissue, assume that the ratios of electrical conductivity along the fiber direction and perpendicular to it (anisotropy) differ in the intracellular and extracellular domains.7 The difference in anisotropy generates a complex distribution of transmembrane potential in response to anodal stimulation8 : the tissue directly underlying the stimulating electrode hyperpolarizes, while neighboring regions depolarize and function as "virtual cathodes."6 The bidomain model predicts that excitation starts at the virtual cathodes and spreads to cover the remaining tissue.9 10

Recently, we identified an active mechanism for anode-break stimulation at the cellular level. Recruitment of ionic currents during anodally induced hyperpolarization enabled excitation on termination of the stimulus ("anode-break" response).11 12 Modification of an existing action potential model to include the ionic currents at hyperpolarized potentials reproduced the results. We thus incorporated the enhanced cellular model into a newly implemented bidomain model to explore the role of these currents in anode-break excitation.


*    Materials and Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Materials and Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
A 2-dimensional network model was implemented. For a bidomain model, the intracellular (Vi) and extracellular (Vo) potential obey the following equations8 :

(1)

(2)
where Im is the membrane current per unit volume, Iist is the stimulus current applied in the intracellular domain, Iost is the stimulus current applied in the extracellular domain, i and o are conductivity tensors in the intracellular and extracellular domains, accounting for tissue anisotropy.

For active membrane, the current per unit volume (Im) is given by

(3)
where ß is the ratio of membrane surface area to tissue volume, Cm is the membrane capacitance per unit area, Vm is the transmembrane potential, and Jion is the membrane ionic current density (per unit area). The transmembrane potential (Vm) is as follows:

(4)
For the ionic current (Jion), we used the Luo-Rudy phase I model13 as modified by Ranjan et al.12 Briefly, the model was changed to include the hyperpolarization-activated inward current If, and the inward rectifier current IK1 was modified to reflect the time-dependent block and unblock at hyperpolarized potentials. The TableDown lists the parameters that were used in the model. To solve for the transmembrane potential using the bidomain formulation, current flow was restricted to be either along or transverse to the fiber direction. This routine simplification fixes the crossterms of the conductivity tensor at zero.8 14


View this table:
[in this window]
[in a new window]
 
Table 1. Model Parameters

Combining Equations 2Up, and 3Up gives a parabolic equation:

(5)
Equation 5Up was solved for Vm in the next time step using Euler's method with the current Vo. Combining Equations 1Up, 2Up, and 4Up gives an elliptical equation:

(6)
Equation 6Up was solved for Vo in the next time step with the new Vm using the alternating direction implicit method.15 A time step of 5 µs and a space step of 30 µm were used. A 2-dimensional sheet measuring 5 mm by 2.5 mm was used. At the tissue boundary, no flux boundary condition was used. The stimulating electrode is 0.5 mm by 0.25 mm in size and injects current in the extracellular domain. Only one quadrant was modeled to reduce computational time. The simulations were done on an INDIGO R10000 Silicon Graphics Workstation.


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMaterials and Methods
*Results
down arrowDiscussion
down arrowReferences
 
A resistive bidomain model was implemented first to test the validity of the computation method used in the present study. The results of the passive model generated in the present study (not shown; see Reference 1111 ) mimic those obtained with numerical methods.8 The model with unequal anisotropy produced a dog-bone distribution of the transmembrane potential typical of bidomain models. The dog-bone distribution disappeared when the anisotropy ratio was made equal in the 2 domains.8

Having validated the computational method, we next implemented the active model. Figure 1Down shows the transmembrane potential distribution as a function of x and y, calculated using the modified Luo-Rudy model at 8 time points during and after delivery of a 0.3-mA, 10-ms anodal stimulation. The lower left-hand corner of the sheet is stimulated. Anodal stimulation results in the establishment of virtual cathodes in the convexity of the hyperpolarized region. The depolarization induced in the virtual cathodes suffices to initiate excitation, which then propagates to cover the entire tissue.



View larger version (74K):
[in this window]
[in a new window]
 
Figure 1. Transmembrane potential was calculated using the bidomain model with the modified action potential model for a 0.3-mA anodal stimulus pulse of 10-ms duration. The time (in ms) since the beginning of the stimulus pulse is marked in the top left-hand corner. The color bar on the right side shows the color scale used in the panels (in mV). Cardiac fibers are aligned along the x-axis in the figure. The peak hyperpolarization induced underneath the stimulating electrode is -1170 mV, and the peak depolarization is 53 mV.

Next, we explored the predictions of the model at lower stimulation strengths. By analogy to our previous cellular work,12 we reasoned that recruitment of active membrane properties might suffice to produce an anode-break response at stimulation thresholds lower than those resulting from the virtual cathode. Figure 2Down shows the response to a 0.15-mA, 10-ms anodal stimulus. Once again, virtual cathodes are induced, but now the extent of depolarization is not enough to initiate excitation. On termination of the stimulus, the depolarization decays toward resting levels (10- and 15-ms time frames). Nevertheless, the tissue underneath the stimulating electrode had been hyperpolarized sufficiently to elicit an anode-break response. The excitation in this case initiates directly underneath the stimulating electrode and then propagates throughout the tissue. No such excitation was observed in bidomain simulations using the original Luo-Rudy action potential model. Reassuringly, the response to cathodal stimulation was identical for both the modified and unmodified action potential models (not shown).



View larger version (88K):
[in this window]
[in a new window]
 
Figure 2. Transmembrane potential was calculated using the bidomain model with the modified action potential model for a 0.15-mA anodal stimulus pulse of 10-ms duration. The time (in ms) since the beginning of the stimulus pulse is marked in the top left-hand corner. The color bar on the right side shows the color scale used in the panels (in mV). Cardiac fibers are aligned along the x-axis in the figure. The peak hyperpolarization is -404 mV, and the peak depolarization is 47 mV.

Given that the extent of depolarization induced in the virtual cathode depends on the relative anisotropy ratios in the intracellular and extracellular domains, the relative contribution of the 2 mechanisms for anodal excitation would also be expected to depend on these values. For Figures 1Up and 2Up, we used an extracellular anisotropy ratio of 2.5 and an intracellular ratio of 7.5. These values are representative of ratios reported for cardiac tissue and used in previous bidomain models (ranging from 1.5 to 4 in the extracellular domain and from 5.8 to 11.7 intracellularly).8 12 16 17 To examine the role played by the disparity in intracellular and extracellular anisotropy ratios on stimulation threshold, we varied the ratios in the 2 domains. Figure 3ADown shows the anodal stimulation threshold determined using a bidomain model with a fixed intracellular anisotropy ratio of 8 and a varying extracellular ratio. For extracellular ratios of 1 to 2, anodal excitation originates at the virtual cathodes and is an anode-make stimulation. For extracellular anisotropy ratios of >2, the new mechanism of anodal stimulation appears: excitation starts directly underneath the stimulating electrode, as an anode-break response. When it is present, the excitation threshold for the novel anode-break mechanism is lower than that for the conventional mechanism of stimulation from the induced virtual cathodes. Figure 3BDown shows the anodal stimulation threshold determined using a bidomain model with a fixed extracellular anisotropy ratio of 2.5 and a varying intracellular anisotropy ratio. Once again, for a range of intracellular anisotropy ratios (<10), excitation occurs at the site of stimulation itself at lower thresholds before the virtual cathode becomes the site of excitation at higher stimulus strengths.



View larger version (37K):
[in this window]
[in a new window]
 
Figure 3. Stimulation threshold for a 12-ms anodal pulse was determined using the bidomain model with varying extracellular anisotropy ratio (A) and varying intracellular anisotropy ratio (B). For panel A, the intracellular anisotropy ratio was fixed at 8, and for panel B, the extracellular anisotropy ratio was fixed at 2.5. The dark gray region shows the range of stimulus strength for which excitation initiates at the site of stimulation. For higher thresholds, the propagation initiates from the induced virtual cathode. A model simulating 5 mm by 5 mm of tissue with a 0.1-mm internode spacing was used for this figure.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMaterials and Methods
up arrowResults
*Discussion
down arrowReferences
 
Routine bidomain models explain anodal stimulation of cardiac tissue on the basis of the different anisotropy ratios in the intracellular and extracellular domains of cardiac tissue.5 In the present study, we investigated the consequences of introducing an ionic membrane model that can actively generate an anode-break response into a bidomain model. Implementation with an unmodified Luo-Rudy phase I action potential model predicts that virtual cathodes are established in response to anodal stimulation, consistent with earlier findings.9 Inclusion of the Ranjan et al12 refinements revealed a new mechanism of anode-break stimulation (Figures 2Up and 3Up). At lower stimulus strengths, the depolarization induced at the virtual cathodes is insufficient to initiate a response, but it is strong enough to yield an anode-break response in the hyperpolarized regions directly underlying the electrode. This excitation then propagates to other regions of the tissue. On increasing the stimulus strength in this model, the depolarization induced in the virtual cathodes suffices to induce excitation. This mechanism predominates at higher stimulus strengths, because it occurs during the stimulus itself (Figure 1Up).

This mechanism of anode-break stimulation at lower stimulus strengths is different from the mechanisms proposed earlier, even though it can be argued that in both cases the site of stimulation is the hyperpolarized region of tissue underlying the electrode. Based on the mechanism proposed by Roth,9 the depolarization induced in the virtual cathode diffuses to the adjoining hyperpolarized region and excites it, resulting in anode-break excitation. In the new mechanism proposed in the present study, the diffusion of charges from the depolarized virtual cathodes is not enough to cause excitation in the hyperpolarized regions. As shown in Figure 2Up (15-ms time frame), the entire tissue returns to resting membrane potential levels after the end of the stimulus. But the hyperpolarization induced in the region underlying the electrode is enough to recruit the hyperpolarization-activated current, If, and cause excitation in these areas independent of diffusion of charges from adjoining areas. This excitation then proceeds to cover the remaining tissue. At higher stimulus strengths, the previously proposed mechanism of anode-break stimulation seems more plausible6 : that is, diffusion of charge from the virtual cathode occurs at a faster rate and induces excitation in the hyperpolarized regions before anode-break stimulation under the electrode.

The range of stimulus strengths that elicits anode-break excitation at the site of stimulation depends on the anisotropy ratios assumed in the model (Figure 3Up). The degree of hyperpolarization underneath the excitation electrode does not primarily depend on the anisotropy ratios, but the depolarization induced in the virtual cathodes does depend on the disparity of anisotropy ratios in the 2 domains. The higher the disparity in the ratios, the greater the depolarization in the virtual cathodes. As a result, when the disparity in ratios is greater (at extracellular anisotropies of 1 to 2 in Figure 3AUp and intracellular anisotropy ratio of >10 in Figure 3BUp), the depolarization induced at the virtual cathode is high enough for anodal excitation at stimulus strengths below those needed for anode-break stimulation. This window of stimulation with lower thresholds assumes significance after considering the fact that the threshold for anodal-break excitation, as reported by existing bidomain models, is about 3 to 5 times higher than that determined experimentally.10 At the most realistic anisotropy ratios (corresponding to {approx}3 in Figure 3AUp), the anode-break mechanism is quite prominent. Nevertheless, experiments in cardiac tissue4 will be important in establishing the relative importance of these 2 mechanisms.


*    Acknowledgments
 
This work was supported by NIH R37 HL36957.


*    Footnotes
 
This manuscript was sent to Michael R. Rosen, Consulting Editor, for review by expert referees, editorial decision, and final disposition.

Received July 17, 1998; accepted November 3, 1998.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMaterials and Methods
up arrowResults
up arrowDiscussion
*References
 
1. Cranefield PF, Hoffman BF, Siebens AA. Anodal excitation of cardiac muscle. Am J Physiol. 1957:190:383–390.

2. Brooks CM, Hoffman BF, Suckling EE. In: Excitability of the Heart. New York: Grune & Stratton; 1955:82–123.

3. Dekker E. Direct current make and break thresholds for pacemaker electrodes on the canine ventricle. Circ Res. 1970:27:811–823.

4. Preston TA. Anodal stimulation as a cause of pacemaker-induced ventricular fibrillation. Am Heart J. 1973:86:366–372.

5. Roth BJ. Mechanisms for electrical stimulation of excitable tissue. Crit Rev Biomed Eng. 1994:22:253–305.

6. Wikswo JP Jr, Lin SF, Abbas RA. Virtual electrodes in cardiac tissue: a common mechanism for anodal and cathodal stimulation. Biophys J. 1995:69:2195–2210.

7. Roth BJ. How the anisotropy of the intracellular and extracellular conductivities influences stimulation of cardiac muscle. J Math Biol. 1992:30:633–646.

8. Sepulveda NG, Roth BJ, Wikswo JP Jr. Current injection into a two-dimensional anisotropic bidomain. Biophys J. 1989:55:987–999.

9. Roth BJ. A mathematical model of make and break electrical stimulation of cardiac tissue by a unipolar anode or cathode. IEEE Trans Biomed Eng. 1995:42:1174–1184.

10. Roth BJ. Strength-interval curves for cardiac tissue predicted using the bidomain model. J Cardiovasc Electrophysiol. 1996:77:722–737.

11. Ranjan R. Mechanism of Anodal Stimulation in Cardiac Tissue [dissertation]. Baltimore, Md: Johns Hopkins University; 1997.

12. Ranjan R, Chiamvimonvat N, Thakor NV, Tomaselli GF, Marban E. Mechanism of anode break stimulation in the heart. Biophys J. 1998:74:1850–1863.

13. Luo CH, Rudy Y. A model of the ventricular cardiac action potential. Depolarization, repolarization, and their interaction. Circ Res. 1991:68:1501–1526.

14. Roth BJ, Wikswo JP Jr. Electrical stimulation of cardiac tissue: a bidomain model with active membrane properties. IEEE Trans Biomed Eng. 1994:41:232–240.

15. Press WH, Teukolasky SA, Vetterling WT, Flannery BP. In: Numerical Recipes in FORTRAN. New York: Cambridge University Press; 1992:701–744.

16. Clerc L. Directional differences of impulse spread in trabecular muscle from mammalian heart. J Physiol (Lond). 1976:255:335–346.

17. Roberts DE, Scher AM. Effect of tissue anisotropy on extracellular potential fields in canine myocardium in situ. Circ Res. 1982:50:342–351.




This article has been cited by other articles:


Home page
Circ. Res.Home page
J. Qu, A. Barbuti, L. Protas, B. Santoro, I. S. Cohen, and R. B. Robinson
HCN2 Overexpression in Newborn and Adult Ventricular Myocytes : Distinct Effects on Gating and Excitability
Circ. Res., July 6, 2001; 89 (1): e8 - e14.
[Abstract] [Full Text] [PDF]


Home page
Circ. Res.Home page
I. Banville, R. A. Gray, R. E. Ideker, and W. M. Smith
Shock-Induced Figure<$DOWNLINK>-of-Eight Reentry in the Isolated Rabbit Heart
Circ. Res., October 15, 1999; 85(8): 742 - 752.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ranjan, R.
Right arrow Articles by Marbán, E.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ranjan, R.
Right arrow Articles by Marbán, E.
Related Collections
Right arrow Pacemaker
Right arrow Cerebral Venous Thrombosis