Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Virtual Sources and Sinks During Extracellular Field Shocks in Cardiac Cell Cultures Effects of Source-Sink Interactions Between Adjacent Tissue Boundaries Aleksandar A. Kondratyev, MD, PhD; Jean-Philippe Didon, PhD; Helene Hinnen-Oberer; Mathieu Lemay, PhD; Jan P. Kucera, MD; Andre G. Kleber, MD Downloaded from http://circep.ahajournals.org/ by guest on August 1, 2017 Background—One mechanism by which extracellular field shocks (ECFSs) defibrillate the heart is by producing changes in membrane potential (Vm) at tissue discontinuities. Such virtual electrodes may produce new excitation waves or affect locally propagating action potentials. The rise time of Vm determines the required duration of a single defibrillation pulse to reach a critical threshold for activation or for the modification of ion channel function, and depends on the electric and microstructural characteristics of the tissue. Methods and Results—We used optical mapping of Vm in patterned cultures of neonatal rat ventricular myocytes to assess the relationship between cardiac structure and the early time course of Vm during ECFSs. At monolayer boundaries, the time course of Vm showed a close fit to the theoretical change predicted by theory, with a membrane time constant of 2.65⫾0.19 ms (n⫽13) and a length constant of 159⫾6 m (n⫽10). Experiments in patterned strands, mimicking the resistive boundaries that occur naturally in the heart, explained the observation that the rate of rise and the maximal amplitudes of the Vm changes are inversely related because of electrotonic interactions between structural boundaries. Interrupting ECFSs by very short intervals diminished Vm, but did not cause major changes in its overall time course. Conclusions—Interaction between virtual sinks and sources decreases the magnitude of the changes in Vm but accelerates its time course. For efficient defibrillation, short ECFSs are needed, with an amplitude adapted to match the boundary interaction. (Circ Arrhythm Electrophysiol. 2012;5:391-399.) Key Words: electrophysiology 䡲 defibrillation 䡲 electric mapping C ardiac cells form a network that allows rapid propagation of the electric impulse and coordinated mechanical contraction. This process is determined by the electric properties of the cells, the extracellular space, and the architecture of the cellular network.1 The same factors also determine how the tissue reacts to an electric field shock applied between extracellular electrodes. Such shocks are used to defibrillate the heart and to measure the passive electric properties of the tissue itself.2– 4 ulation artifacts. Early work using this technique has shown that an ECFS can produce either membrane depolarization or hyperpolarization. Thus, changes of opposite polarity have been observed within very short distances (⬇1 mm) in perfused rabbit hearts.7 Recent studies on the effect of short defibrillation pulses have demonstrated the importance of intramyocardial virtual electrodes caused by the coronary vasculature.9 While membrane potential sources close to the extracellular electrodes are mostly produced by the macroscopic boundaries of the heart itself,10 “far-field” virtual sources11,12 most likely are caused by the bidomain nature5,13 and the structural organization of myocardial tissue.14,15 Theoretically, structural discontinuities may occur in both intra- and extracellular domains. In a tissue culture model, we have shown that such histological boundaries form major sources for transmembrane current flow and that they represent preferential sites for the initiation of propagated excitation,16 Clinical Perspective on p 399 The effect of extracellular field shocks (ECFSs) on cardiac tissue is complex and depends on the field strength of the shock, the tissue structure, the bidomain nature of cardiac tissue, and the electric properties of the cardiac cells.2,5 The introduction of optical mapping of transmembrane potential (Vm) has enabled the direct measurement of Vm in whole hearts6,7 and tissue cultures,8 without interference from stim- Received October 6, 2011; accepted February 22, 2012. From the Department of Physiology, University of Bern, Bern, Switzerland (A.A.K., H.H-O., M.L., J.P.K., A.G.K.); Schiller Incorporated Laboratory, Wissembourg, France (J-P.D.). The online-only Data Supplement is available at http://circep.ahajournals.org/lookup/suppl/doi:10.1161/CIRCEP.111.968180/-/DC1. Correspondence to Dr André G. Kléber, Department of Pathology, Beth Israel Deaconess Medical Center, DANA 752, Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, E-mail [email protected] © 2012 American Heart Association, Inc. Circ Arrhythm Electrophysiol is available at http://circep.ahajournals.org 391 DOI: 10.1161/CIRCEP.111.968180. 392 Circ Arrhythm Electrophysiol April 2012 Downloaded from http://circep.ahajournals.org/ by guest on August 1, 2017 whereas resistive barriers formed by individual cell borders play only minor roles.8 The time course of Vm in response to an ECFS is important because it will determine the time needed by an ECFS to produce biologically relevant changes of membrane potential. These changes include the initiation, prolongation, or shortening of action potentials, which may interrupt fibrillation. Work in cell cultures using high resolution optical mapping of Vm has shown that, depending on pulse strength, the responses of Vm to ECFS exhibit 3 typical phases.17 The very early phase produces symmetrical hyper- and depolarization at the respective anodal and cathodal boundaries. This symmetry suggests that it can be attributed to the passive linear electric properties of the myocyte network. The second phase, which is superimposed on the first phase at intermediate levels of shock strength, most likely is caused by a change in the time- and voltage-dependent properties of ion channels. The third phase, observed at high field strengths, is characterized by a decrease in the Vm response and probably is associated with electroporation.8,18 –20 A relatively fast initial change in membrane potential may increase the efficiency of short defibrillation pulses to excite tissue at the sites of intramyocardial virtual sources, and it has been suggested recently that repetitive short pulses (requiring less energy) can be efficient in defibrillation.9,21 In the present study we used the experimental model of patterned cardiac cell cultures to assess the time course of the first, very early phase of Vm changes after application of an ECFS. Whereas the tissue culture model is limited and cannot assess the full spectrum of variables determining the effect of ECFSs attributable to the bidomain nature of cardiac tissue, such as anisotropy, fiber curvature, heterogeneous extracellular resistance, and heterogeneous extracellular fields, it is nevertheless ideally suited for the reproducible control of the architecture of the cellular network.22 The time dependence of Vm during an ECFS reflects the charge and discharge of the myocyte membrane capacitance, because the extracellular and intracellular spaces have no major capacitive elements. Therefore, use of the cell culture model, devoid of the features playing a role in a bidomain model (as mentioned above), seems appropriate to test the specific effect of local tissue boundaries, which are present in the myocardium in vivo,14,23 on the time dependence of ECFS. In order to provide a mechanistic explanation for the observed interrelation between Vm and structure, we compared the experimental with theoretical results derived using a 1-dimensional model of cardiac tissue.4,24 Methods Production of Patterned Cell Cultures The production of patterned cell cultures from neonatal rat heart cells has been described in detail.8,16,22 In brief, hearts from neonatal rats were excised, enzymatically digested to form a cell suspension, preplated to eliminate fibroblasts, and seeded on coverslips at a density of 0.5x106 cells per mL. Before seeding, defined fibronectin patterns were produced by microphotolithography to determine cell attachment and thus to produce well defined cell culture boundaries. After seeding, the cultures were kept in an incubator for 6 to 8 days at 35°C. Figure 1. Schematic illustration of the experimental setup. A, Schematic of a cell culture dish showing a continuous layer of cultured neonatal rat heart cells patterned in the shape of half a disk (black). A bipolar electrode was used to stimulate the culture at an S1–S1 interval of 500 ms. Two platinum electrodes (gray) were arranged in such a way to produce a homogenous electric field (arrows) oriented perpendicular to the linear border of the cell culture. B, Schematic of a cell culture dish showing the culture pattern used to assess the effects of boundaries on the time course of Vm during an extracellular field shock. Strands of 200 m in width emerge from a bulk monolayer of cells (black). The bulk is stimulated at an S1–S1 interval of 500 ms. The electric field (arrows) produced by the platinum electrodes (gray) is oriented perpendicular to the strands. C, Electric equivalent circuit of a passive cable of length L. L indicates the distance between resistive borders; ri, resistance of the intracellular space per unit length; rm, membrane resistance per unit length; cm, membrane capacitance per unit length (see onlineonly supplement for further explanation). For experiments, 2 types of patterns were used, as illustrated in Figure 1. For the determination of passive cable properties, patterns were constructed in the shape of a half disk with a sharp rectilinear boundary. For the investigation of the interactions between adjacent boundaries, linear strands were patterned with a width of 200 m (interboundary distance). In all cultures the arrangement and shape of the myocytes was isotropic.8 Stimulation and Optical Mapping of Transmembrane Potential Transmembrane potential was recorded by multisite optical mapping of transmembrane potential, as described in detail previously8,16 (see online-only supplement). The change in transmembrane potential was expressed in percentage of action potential amplitude (%APA).25 Application of Extracellular Field Shocks Propagated action potentials were elicited via electric stimulation using a bipolar electrode at a basic (S1-S1) interval of 500 ms. ECFSs were applied via 2 platinum electrodes placed in the tissue bath (Figure 1). The electric field produced in this way was homogeneous, as previously shown.8 ECFSs were produced by a custom-built device. This device produced single or repetitive Kondratyev et al Membrane Potential and Extracellular Shocks (2) 393 Vm⫽V0⫹Vamplitude*erf共公共t/兲兲 Mathematically, changes in amplitude and shape of Vm during an ECFS due to interactions between boundaries can be derived from the 1-dimensional cable equation corresponding to the equivalent circuit described in Figure 1C, and the application of the so-called superimposition and reflexion principles (see online-only Data Supplement Equation IS).24 Computations and fitting algorithms were implemented in MATLAB, and the exponential fit (equation 1) needed for the determination of was programmed in LabView (National Instruments). Statistics Experimental values were compared using the nonpaired t test where appropriate. Differences were considered significant at P⬍0.05. Unless specified otherwise, values are expressed as mean⫾ SD. Results Downloaded from http://circep.ahajournals.org/ by guest on August 1, 2017 Early Time Course of the Change in Vm During Application of an Extracellular Field Shock Figure 2. Changes of Vm after application of a hyperpolarizing extracellular field shock during phase 4. A, Schematic representation of the cell culture with 5 measuring sites (circles) close to the culture border. The white arrow represents the extracellular field (6.36 V/cm). Superimposed signals from the 5 locations show hyperpolarization followed by the upstroke of the action potential. B, Hyperpolarizing portion of the change in Vm from the location indicated by the filled circle on Panel A. The red curve corresponds to the fit with equation 2. rectangular voltage pulses that could be varied with respect to field strength, number, interpulse interval, polarity, duration, and latency after the basic stimulus (S1-S2 interval). Computation of Time Dependent Changes in Transmembrane Potential, Determination of the Space Constant and the Membrane Time Constant In our experiments we consistently applied ECFS exactly perpendicular to the tissue boundaries. We have previously shown that such an arrangement produces changes in Vm with isopotential lines parallel to the boundaries (see online-only Data Supplement Figure IS). This relationship between the patterned tissue boundary and the extracellular field facilitates the computation of the change in Vm, because a 1-dimensional model can be used. The linear equivalent circuit illustrated in Figure 1C comprises the intercellular resistance per unit length (ri), the resistance of the cell membrane (rm), and membrane capacitance (cm). The membrane time constant () and length constant () are defined in their usual way (2⫽rm/ri; ⫽rm * cm).24 For L⬎⬎, which corresponds to the single boundary case in the cell culture (Figure 2A), can be obtained from the exponential decay of Vm along the cable at the end of a long ECFS (t 3 ⬁):2– 4,24 (1) Vm⫽V0⫹Vamplitude*exp(⫺x/) and the is obtained from the change in Vm close to the boundary by: The time course of Vm during application of an ECFS during phase 4 and the plateau phase of the action potential was determined at the border of a dense culture of myocytes (Figure 2A). Selection of this single boundary geometry represents the “extreme” case, where interaction between boundaries is excluded (L3⬁). Figure 2A shows 5 signals from measuring sites close to the culture border during a hyperpolarizing ECFS applied 30 ms before an S1 stimulus. Superimposition of the signals reflects the homogeneity of the electric field and Vm, and at the culture border. The change in Vm produced by the field pulse is depicted in Figure 2B. The red line in Figure 2B corresponds to the fit with equation 2 and shows that Vm during the ECFS follows closely the time course predicted by equation 2 with a membrane time constant of 3.08 ms. Approximately 90% of maximal hyperpolarization was achieved after about 4 ms. In each experiment, the membrane time constant was obtained as the average from the fit of equation 2 to 5 signals located at the culture boundary. In 13 different cultures, the mean value of amounted to 2.70⫾0.19 ms. During phase 4, determination of following depolarizing ECFS was not possible, because action potentials were elicited close to the boundary, which precluded an appropriate fit with equation 2 in most experiments. Vm elicited by an ECFS of 6 to 8 ms during the plateau phase of the action potential is depicted in Figure 3A. Similarly to a hyperpolarizing pulse during phase 4, there was an accurate fit to equation 2 that yielded a membrane time constant of 3.24 ms. At the boundary, 90% hyperpolarization was reached after approximately 5 ms. The mean was 3.57⫾0.47 ms (n⫽8). As shown previously17 and as illustrated in Figure 3A, the time course of hyperpolarizing pulses during the plateau was different from depolarizing pulses. Hyperpolarization produced an initial change in Vm symmetrical to depolarization, and after the initial pulse segment of approximately 0.5 ms duration, a subsequent rapid repolarization was observed, probably corresponding to so called “all-or-nothing” repolarization,17,26 caused by activation of repolarizing ion currents. This precluded the determination of for hyperpolarizing pulses. 394 Circ Arrhythm Electrophysiol April 2012 Downloaded from http://circep.ahajournals.org/ by guest on August 1, 2017 Figure 3.Changes of Vm after application of an extracellular field shock during the plateau phase of the action potential. A, Schematic representation of the cell culture with 5 measuring sites (circles) close to the culture border. The white arrow represents the extracellular field (6.36 V/cm). Superimposed signals from the 5 locations show changes in Vm following hyperpolarizing and depolarizing shocks. The black arrow marks the onset of “all-or-nothing” repolarization. B, Depolarizing portion of the change in Vm from the location indicated by the filled circle on Panel A. The red curve corresponds to the fit with equation 2. The Effect of Adjacent Tissue Boundaries on the Time Course of Extracellular Field Shocks To assess the effect of interaction of virtual electrodes at tissue boundaries on the time course and amplitude of Vm during an ECFS (phase 4 of the action potential), we applied ECFSs perpendicular to 200 m wide strands (Figure 1B). Figure 4A illustrates the peak deflection of Vm (measured at the end of the pulse) in response to a single ECFS of 4 ms, as a function of position across the strand (from the border adjacent to the anode to the border adjacent to the cathode; mean⫾ SE, n⫽5, field strength 6.36V/cm). The interaction of the virtual electrodes at tissue boundaries is reflected in the shape of the peak Vm deflection profile. The linear aspect of the profile is in agreement with previous observations in cell cultures.8 The maximal amplitude measured at the cathodal boundary of a strand of 200 m in width amounted to 23⫾2%APA (n⫽5). In contrast, at a single boundary, the same field strength produced a significantly larger depolarization (filled square with asterisk), of 38⫾4%APA (n⫽7, P⬍0.05, nonpaired t test), demonstrating experimentally that the proximity of tissue boundaries decreases the maximal deflection of Vm induced by an ECFS. Figure 4. A, Effect of virtual source-sink interaction on the maximal deflection of Vm across a strand of 200 m in width during an extracellular field shock (ECFS; 6.36 V/cm) applied during the plateau phase of the action potential (filled circles). For comparison, the peak change in Vm at the border of a large monolayer (absence of virtual source-sink interaction) is given for the same field strength (filled square). See text for details. B, Time course of Vm during an ECFS. Each data point represents the mean value from 5 experiments. The changes in Vm are depicted for recording sites located at different distances from the median axis of the strand (labels). The interrupted curve (open symbols) corresponds to the theoretical result (see online-only Data Supplement Equation I), with ⫽3.5 ms and ⫽180 m. Note that the maximal Vm change is already reached at t ⬍. Figure 4B illustrates Vm at various distances from the middle axis of the strand (⫺103 m to 103 m) in the same experiments shown in Figure 4A. The ECFS resulted in an initial rapid change of Vm reaching a plateau level at approximately 2 ms, that is, earlier than in the presence of a single boundary and in the absence of virtual source interaction (Figures 2 and 3). The red curve shows the comparison with the theoretical prediction (see online-only Data Supplement Equation I). Altogether, Figure 4 demonstrates that the interaction of virtual sources at resistive boundaries has 2 major effects on Vm during an ECFS, (1) a decrease of the Kondratyev et al Membrane Potential and Extracellular Shocks 395 Downloaded from http://circep.ahajournals.org/ by guest on August 1, 2017 Figure 5. A, Original experimental traces recorded at the border of a 200 m wide strand showing the action potential upstroke and the changes in Vm induced by depolarizing extracellular field shocks (ECFSs; 6.36 V/cm) applied during the action potential plateau. The upper trace depicts changes induced by the control pulse (3.5 ms), the lower trace changes induced by 4 pulses of 0.5 ms duration interrupted by I⫽0.5 ms. The test ECFSs are shown schematically in the inset of Panel A. B, Superimposition of computed changes in Vm induced by 4 test pulses of 0.5 ms duration interrupted by I⫽0.1 ms (solid red curve) and a control pulse of equal duration (solid blue curve). Points connected by dotted lines depict experimentally recorded values (blue, control; red, test). Panels C and D are the same as Panel B, but I⫽0.2 ms (Panel C) and I⫽0.5 ms (Panel D). Hash symbols (#) denote significant differences between test and control (nonpaired t test, P⬍0.05). The values given at the 100% levels denote the absolute changes in percentage of action potential amplitude. As expected, the changes in Vm decrease with increasing interpulse interval I. Of note is the observation that the general time course of Vm (envelope) showing a rapid increase to a plateau does not change with increasing I. maximal change in Vm, and (2) an increase in the relative rate of change in Vm (see Discussion). Comparison of the Effects of Single Versus Multiple Pulses Modifying the time course of ECFS pulses, and thus influencing Vm changes, may be useful to optimize the delivered energy during electric pulses, and thus important for the design of defibrillation devices. Figure 5A shows optical signals depicting Vm changes caused by a continuous ECFS (control) and an ECFS interrupted 3 times (I⫽0.5 ms). The changes in Vm during a train of 4 pulses of 0.5 ms duration, interrupted by 3 intervals I are shown in Panels B–D (Panel B: I⫽0.1 ms, total duration 2.3 ms; Panel C: I⫽0.2 ms, total duration 2.6 ms; Panel D: I⫽0.5 ms, total duration 3.5 ms). These 3 protocols correspond to a decrease of delivered energy by 13%, 23%, and 43%, with respect to control pulses of the same total duration. Data are represented as mean⫾ SE immediately before each interruption (n⫽6 for Panels B and D, n⫽5 for Panel C). For each series, the corresponding changes in Vm recorded during control experiments without pulse interruption (blue) are superimposed on the changes measured with pulse interruption (red). The computed changes (see online-only Data Supplement Equation I; solid curves) are superimposed on the experimentally determined values (circles connected by dotted lines). Comparison of Figure 5B–5D shows that increasing I from 0.1 ms to 0.5 ms, with a pulse duration of 0.5 ms, lowers the level of the maximal deflection of Vm but does not affect the general time course of the voltage change. The curves computed from Online Supplement equation I confirm this general behavior, but show a faster rise in Vm during control and test interventions at all intervals I. At I⫽0.1 ms, Vm at the end of the interruption and the plateau level are not significantly different from control (Figure 5B). The plateau level amounts to 77% of control (simulated value 91%), with I⫽0.2 ms (Figure 5C), and to 70% of control with I⫽0.5 ms (simulated value 85%; Figure 5D). 396 Circ Arrhythm Electrophysiol April 2012 sources with isopotential lines parallel to the tissue boundary. This made it possible to apply a relatively simple 1-dimensional model for the computation of the theoretical predictions and comparison with the experimental results. Because in 1 dimension, the monodomain and bidomain formulations are equivalent, this 1-dimensional simplification permitted us to apply a monodomain approach. The quality of the fit suggests that our experimental model is well represented by the electric circuit shown in Figure 1C. The Effect of Strand Boundaries on the Size and Time Course of Virtual Sources Downloaded from http://circep.ahajournals.org/ by guest on August 1, 2017 Figure 6. Determination of the space constant by a hyperpolarizing extracellular field shock (ECFS). A, Array of measuring sites extending from the culture border (on the left). Two signals showing hyperpolarization during am ECFS (6.36 V/cm) are shown. B, Steady-state amplitudes of hyperpolarizing voltage changes are plotted as a function of distance from the culture border. The exponential fit (interrupted curve) using equation 2 yields a space constant of 152 m (square). Comparison of the Time Course of Vm During Different Phases of the Action Potential and Determination of the Length Constant To simulate the changes in Vm during the early phase of an ECFS, it was necessary to determine the length constant based on experimental measurements. The length constant was determined from the decay of the steady-state Vm at the end of a sufficiently long (8 –10 ms) hyperpolarizing pulse applied during phase 4 of the action potential. Vm from up to 48 sites was recorded in each experiment and plotted as a function of distance from the boundary (Figure 6). The exponential fit (equation 2) in the experiment illustrated in Figure 6B produced a value of ⫽152 m. The mean value of amounted to 159⫾6 m (n⫽10). During the plateau phase of the action potential, the well-known27 relative increase in membrane resistance was responsible for the increase in . The associated increase in produced a very flat profile of steady–state Vm along the optically mapped distance x, which rendered an exponential fit analogous to Figure 6B inaccurate. Therefore, the value for plateau was calculated from phase 4, plateau, and phase4; it amounted to 188 m. Discussion A major purpose of this study was the determination of the time course of the early change in Vm induced by an extracellular field shock and its dependence on tissue boundaries. Application of a homogeneous extracellular field shock perpendicular to a single tissue boundary produced virtual One of the major advantages of recording Vm using voltagesensitive dyes is the absence of stimulation artifacts during the application of ECFSs. In experiments in situ, this made it possible to detect the virtual sources on the epicardial surface and at intramural sites.2,6,7,9,11,28 It has been shown that virtual sources and sinks coexist within distances of ⬍1 mm.7 A similar close association between local hyper- and depolarizations more recently has been described in isolated perfused rabbit hearts by Mowrey et al.28 Interestingly, these authors found a strict inverse relationship between the maximal amplitude of a virtual source caused by an ECFS and the rate of rise, in correspondence with our results. This inverse correlation was proposed as a general principle of tissue behavior and independent of the application of drugs that inhibited ion channels, suggesting indirectly that it might be related to the intrinsic passive electric properties of the tissue. The mechanistic explanation for this inverse relation is provided in this work. Figure 7 depicts the theoretical changes in the maximal amplitude and the time course of Vm during an ECFS in absence and presence of interactions between adjacent boundaries. It can be seen that the Vm perpendicular to the border of the obstacle shows an exponential decay in the absence of interaction between the virtual source and virtual sink at the boundaries (blue line), in accordance with the experimental results (Figure 6).2–5 If the length L of the excitable structure (corresponding to the strand width in Figure 1B) decreases, the profile of Vm during an ECFS assumes an increasingly linear shape (red curve) and the absolute values of the amplitude maxima or minima of Vm decrease, due to the electric interaction between the strand borders. Concomitant with the decrease in amplitude, source-sink interaction produces a more rapid change in the transmembrane potential during the shock (Panel B). Interruption of ECFS by Short Intervals Changing the time course of ECFS of a given duration may be useful to reduce the delivered energy, and it may be important for the design of the charge-delivering device. The effect of complex pulse forms on the efficiency of defibrillation was investigated in detail by Malkin et al.19 These authors made the empirical observation that the defibrillation efficiency of an ECFS was highest in presence of a short initial peak in the defibrillation pulse form. In our study, the maximal Vm deflection in 200 m wide strands was changed only to a minor extent (⬍10%) if pulses of 2 to 3 ms in duration were interrupted by 3 short (0.1– 0.2 ms) intervals, corresponding Kondratyev et al Membrane Potential and Extracellular Shocks 397 Downloaded from http://circep.ahajournals.org/ by guest on August 1, 2017 Figure 7. Computation of changes in Vm (see online-only Data Supplement Equation I) illustrating the inverse relationship between maximal amplitude and steepness of the change in Vm. A, Effect of cable length on the amplitude at steady state (t 3 ⬁) of the Vm response caused by a rectangular extracellular field shock (ECFS). With decreasing cable length, the interaction between the flow of transmembrane current at opposing ends (virtual electrodes of opposite polarity) produces a decrease in maximal amplitude. B, Time course and amplitudes of Vm during ECFS in cables of 2 mm (blue) and 200 m length (red). Amplitude at L⫽2 mm is taken as 100% (⫽188 m, ⫽3.57 ms). C, Same computed signals as in Panel B, but with normalized amplitudes. to a decrease of the delivered energy by up to 23% (see the online-only supplement for the calculation). Thus, in terms of energy expenditure, the interrupted pulse represents an advantage. These experimental results and theoretical simulations taken together suggest that the interactions between boundaries, producing a very rapid initial change in Vm, should be taken into account when optimizing ECFS pulse forms. Malkin et al19 attributed the observation that a short initial peak in the defibrillation pulse form increases the efficiency of defibrillation to the possible occurrence of electroporation. We have previously shown that electroporation (which manifests itself by an internalization of the dye Lucifer yellow8 or by a decrease in the amplitude of Vm late during an ECFS17) occurs only at relatively high field strengths (⬎20 V/cm) in our experimental model (see onlineonly supplement). A contribution of electroporation to the observed changes in Vm in the present experimental setting is therefore unlikely. Limitations and Validity of the Cell Culture Model The present study focuses specifically on the interaction between virtual sources and sinks caused by the vicinity of resistive boundaries during a single ECFS, and on the theoretical basis underlying the observed Vm changes. Multiple important variables in defibrillation were not assessed, such as the effect of (1) shape and the polarity of the shocks, (2) the anisotropic architecture of cardiac tissue, (3) the possibility that inhomogeneities in extracellular space resis- tance create virtual sources, and (4) multiple pulses with longer interpulse intervals. Indeed, such repetitive pulses with intervals in the order of the defibrillation cycle length have been efficiently used to sequentially interrupt reentrant circuits.9,21 A further aspect relates to the question of the validity of the cell culture model for representing the cellular network in vivo. It has been shown that the interplay between the resistive properties of the extra- and intracellular spaces is important for the formation of virtual electrodes in the myocardium.5,13,29 Cultures from neonatal rat myocytes have passive electric properties different from adult tissue in vivo. The most important difference is probably cell size.30 –33 Decreasing cell size will decrease the spacing between cell borders, and consequently, increase intracellular resistance, ri (cytoplasmic and intercellular resistance in series). This most likely explains the observation that the length constant in rat neonatal cultures is significantly smaller than in adult hearts.34,35 Other factors, such as effects of the extracellular space resistance, ro, and ion channel expression (affecting membrane resistance rm) additionally will affect . Thus far, only 1 study dealt specifically with the determination of cable properties in cell cultures of rat cardiomyocytes.34 Irrespective of these considerations, an important property of our experimental model is that it consists of a cell monolayer and not of a multi-layered preparation, and there is therefore no ambiguity in our optical measurements that might arise because of voltage-dependent fluorescence emitted from deeper tissue layers. 398 Circ Arrhythm Electrophysiol April 2012 Potential Importance of Virtual Source-Sink Interactions for Defibrillation Downloaded from http://circep.ahajournals.org/ by guest on August 1, 2017 Work in cell cultures and in whole hearts has demonstrated the importance of intramyocardial virtual sources as site of excitation waves, which may interrupt reentrant circuits during defibrillation.9 The presence of resistive boundaries caused by the myocardial architecture, blood vessels, and bidomain tissue properties are important causes for the formation of virtual sources. In larger mammals the space constant, reflecting the degree of electric interaction between adjacent myocardium, is larger than in murine hearts.1,35 Therefore, source-sink interaction of virtual sources as shown in the present study is expected to occur between sources and sinks located more than 1 mm apart in these species. The interaction between physiological boundaries represented by normal transmural architecture and blood vessels is therefore likely to affect the maximal value of virtual sources and the rate of rise of Vm. Moreover, the experimentally demonstrated dependence of the time course and amplitude of Vm on source-sink interaction is expected to occur independently of the mechanism causing virtual source formation. Conclusion The inverse relationship between the maximal Vm deflections caused by sources and loads and the rate of rise of Vm during the ECFS may have implications regarding the effect of defibrillation shocks: First, single pulses of a duration shorter than the membrane time constant are likely to produce excitation at sites of source-sink interaction. Second, to reach the threshold for excitation at such a site, increasing the amplitude of a short ECFS will be more efficient than increasing its duration for an equal amount of energy delivered. Sources of Funding This study was supported by the Swiss National Science Foundation (grant 310030 –120253 to A.G.K.) and by a grant from Schiller Inc., Wissembourg, France (to A.G.K.). Disclosures Dr André G. Kléber is the recipient of a research grant from Schiller Incorporated, Wissembourg, France. Dr Jean-Philippe Didon is an employee of Schiller Incorporated, Wissembourg, France. References 1. Kleber AG, Rudy Y. Basic mechanisms of cardiac impulse propagation and associated arrhythmias. Physiol Rev. 2004;84:431– 488. 2. Dosdall DJ, Fast VG, Ideker RE. Mechanisms of defibrillation. Annu Rev Biomed Eng. 2010;12:233–258. 3. Kleber AG, Riegger CB. Electrical constants of arterially perfused rabbit papillary muscle. J Physiol. 1987;385:307–324. 4. Weidmann S. Electrical constants of trabecular muscle from mammalian heart. J Physiol. 1970;210:1041–1054. 5. Basser PJ, Roth BJ. New currents in electrical stimulation of excitable tissues. Annu Rev Biomed Eng. 2000;2:377–397. 6. Dillon SM. Optical recordings in the rabbit heart show that defibrillation strength shocks prolong the duration of depolarization and the refractory period. Circ Res. 1991;69:842– 856. 7. Zhou X, Ideker RE, Blitchington TF, Smith WM, Knisley SB. Optical transmembrane potential measurements during defibrillation-strength shocks in perfused rabbit hearts. Circ Res. 1995;77:593– 602. 8. Gillis AM, Fast VG, Rohr S, Kleber AG. Spatial changes in transmembrane potential during extracellular electrical shocks in cultured monolayers of neonatal rat ventricular myocytes. Circ Res. 1996;79: 676 – 690. 9. Luther S, Fenton FH, Kornreich BG, Squires A, Bittihn P, Hornung D, Zabel M, Flanders J, Gladuli A, Campoy L, Cherry EM, Luther G, Hasenfuss G, Krinsky VI, Pumir A, Gilmour RF, Jr., Bodenschatz E. Low-energy control of electrical turbulence in the heart. Nature. 2011; 475:235–239. 10. Chen PS, Wolf PD, Claydon FJ, Dixon EG, Vidaillet HJ, Jr., Danieley ND, Pilkington TC, Ideker RE. The potential gradient field created by epicardial defibrillation electrodes in dogs. Circulation. 1986;74: 626 – 636. 11. Fast VG, Sharifov OF, Cheek ER, Newton JC, Ideker RE. Intramural virtual electrodes during defibrillation shocks in left ventricular wall assessed by optical mapping of membrane potential. Circulation. 2002; 106:1007–1014. 12. Sharifov OF, Fast VG. Optical mapping of transmural activation induced by electrical shocks in isolated left ventricular wall wedge preparations. J Cardiovasc Electrophysiol. 2003;14:1215–1222. 13. 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. 14. Le Grice IJ, 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. 1995;38: H571–H582. 15. Hsu EW, Muzikant AL, Matulevicius SA, Penland RC, Henriquez CS. Magnetic resonance myocardial fiber-orientation mapping with direct histological correlation. Am J Physiol. 1998;274:H1627–1634. 16. Fast VG, Rohr S, Gillis AM, Kleber AG. Activation of cardiac tissue by extracellular electrical shocks: formation of ‘secondary sources’ at intercellular clefts in monolayers of cultured myocytes. Circ Res. 1998;82: 375–385. 17. Tung L, Kleber AG. Virtual sources associated with linear and curved strands of cardiac cells. Am J Physiol Heart Circ Physiol. 2000;279: H1579 –1590. 18. Kodama I, Shibata N, Sakuma I, Mitsui K, Iida M, Suzuki R, Fukui Y, Hosoda S, Toyama J. Aftereffects of high-intensity dc stimulation on the electromechanical performance of ventricular muscle. Am J Physiol. 1994;267:H248 –258. 19. Malkin RA, Guan D, Wikswo JP. Experimental evidence of improved transthoracic defibrillation with electroporation-enhancing pulses. IEEE Trans Biomed Eng. 2006;53:1901–1910. 20. Krassowska W. Effects of electroporation on transmembrane potential induced by defibrillation shocks. Pacing Clin Electrophysiol. 1995;18: 1644 –1660. 21. Gray RA, Wikswo JP. Cardiovascular disease: several small shocks beat one big one. Nature. 2011;475:181–182. 22. Rohr S, Scholly DM, Kleber AG. Patterned growth of neonatal rat heart cells in culture. Morphological and electrophysiological characterization. Circ Res. 1991;68:114 –130. 23. Pope AJ, Sands GB, Smaill BH, LeGrice IJ. Three-dimensional transmural organization of perimysial collagen in the heart. Am J Physiol Heart Circ Physiol. 2008;295:H1243–H1252. 24. Jack J, Noble D, Tsien R. Electric Current Flow in Excitable Tissues. Oxford: Clarendon Press; 1975. 25. Fast VG, Kleber AG. Microscopic conduction in cultured strands of neonatal rat heart cells measured with voltage-sensitive dyes. Circ Res. 1993;73:914 –925. 26. Noble D, Hall AE. The conditions for initiating “all-or-nothing” repolarization in cardiac muscle. Biophys J. 1963;3:261–274. 27. Weidmann S. Effect of current flow on the membrane potential of cardiac muscle. J Physiol. 1951;115:227–236. 28. Mowrey KA, Efimov IR, Cheng Y. Membrane time constant during internal defibrillation strength shocks in intact heart: effects of na⫹ and ca2⫹ channel blockers. J Cardiovasc Electrophysiol. 2009;20:85–92. 29. Sobie EA, Susil RC, Tung L. A generalized activating function for predicting virtual electrodes in cardiac tissue. Biophys J. 1997;73: 1410 –1423. 30. Fast VG, Darrow BJ, Saffitz JE, Kleber AG. Anisotropic activation spread in heart cell monolayers assessed by high-resolution optical mapping. Role of tissue discontinuities. Circ Res. 1996;79:115–127. Kondratyev et al 31. Rohr S, Kleber AG, Kucera JP. Optical recording of impulse propagation in designer cultures. Cardiac tissue architectures inducing ultra-slow conduction. Trends Cardiovasc Med. 1999;9:173–179. 32. Saffitz JE, Kanter HL, Green KG, Tolley TK, Beyer EC. Tissue-specific determinants of anisotropic conduction velocity in canine atrial and ventricular myocardium. Circ Res. 1994;74:1065–1070. 33. Spach MS, Heidlage JF, Dolber PC, Barr RC. Electrophysiological effects of remodeling cardiac gap junctions and cell size: experimental Membrane Potential and Extracellular Shocks 399 and model studies of normal cardiac growth. Circ Res. 2000;86: 302–311. 34. Jongsma HJ, van Rijn HE. Electronic spread of current in monolayer cultures of neonatal rat heart cells. J Membr Biol. 1972;9:341– 360. 35. Kléber AG, Janse MJ, Fast VG. Normal and abnomal conduction in the heart. In: Page E, Fozzard H, Solaro R, eds. The Handbook of Physiology. New York: Oxford University Press;2002:455–530. CLINICAL PERSPECTIVE Downloaded from http://circep.ahajournals.org/ by guest on August 1, 2017 The application of an electric pulse is routinely used in clinical practice to revert atrial and ventricular fibrillation to sinus rhythm. Such pulses can be applied either externally or with implanted devices. Despite decades of research, the complexities inherent to the mechanisms of defibrillation at the tissue and cell levels still remain elusive. The prevailing hypothesis is that discontinuities in cardiac tissue structure lead to localized changes in membrane potential (Vm) during extracellular field pulses, called virtual current sources and sinks. These changes may block existing or create new excitation waves, which interfere with reentrant circuits. One of the aspects pertaining to improving defibrillation techniques is to optimize electric charge delivery during the shock. In this study, we investigated the response of cultured strands of neonatal rat ventricular myocytes to rectangular electric field shocks and to shocks separated by short interruptions. In parallel, we simulated these responses using classical cable theory. In both the experimental and the theoretical model, we observed that and explain why dynamic interactions between tissue boundaries markedly shorten the rise time and decrease the amplitude of the Vm responses. This inverse relationship between the magnitude and rise time of virtual sources indicates that very short shocks of adequate magnitude may produce changes in Vm efficient in defibrillation. Moreover, brief interruptions in the shocks result in changes in Vm, which are minor in comparison to the reduction of the delivered energy. Virtual Sources and Sinks During Extracellular Field Shocks in Cardiac Cell Cultures: Effects of Source-Sink Interactions Between Adjacent Tissue Boundaries Aleksandar A. Kondratyev, Jean-Philippe Didon, Helene Hinnen-Oberer, Mathieu Lemay, Jan P. Kucera and Andre G. Kleber Downloaded from http://circep.ahajournals.org/ by guest on August 1, 2017 Circ Arrhythm Electrophysiol. 2012;5:391-399; originally published online March 2, 2012; doi: 10.1161/CIRCEP.111.968180 Circulation: Arrhythmia and Electrophysiology is published by the American Heart Association, 7272 Greenville Avenue, Dallas, TX 75231 Copyright © 2012 American Heart Association, Inc. All rights reserved. Print ISSN: 1941-3149. Online ISSN: 1941-3084 The online version of this article, along with updated information and services, is located on the World Wide Web at: http://circep.ahajournals.org/content/5/2/391 Data Supplement (unedited) at: http://circep.ahajournals.org/content/suppl/2012/03/02/CIRCEP.111.968180.DC1 Permissions: Requests for permissions to reproduce figures, tables, or portions of articles originally published in Circulation: Arrhythmia and Electrophysiology can be obtained via RightsLink, a service of the Copyright Clearance Center, not the Editorial Office. Once the online version of the published article for which permission is being requested is located, click Request Permissions in the middle column of the Web page under Services. Further information about this process is available in the Permissions and Rights Question and Answer document. Reprints: Information about reprints can be found online at: http://www.lww.com/reprints Subscriptions: Information about subscribing to Circulation: Arrhythmia and Electrophysiology is online at: http://circep.ahajournals.org//subscriptions/ SUPPLEMENTAL MATERIAL Virtual Sources and Sinks During Extracellular Field Shocks in Cardiac Cell Cultures: Effects of Source-Sink Interactions Between Adjacent Tissue Boundaries Aleksandar A. Kondratyev, MD, PhD1; Jean-Philippe Didon, PhD2; Helene Hinnen-Oberer1; Mathieu Lemay, PhD1; Jan P. Kucera, MD1; André G. Kléber, MD1 1 Dept. of Physiology, University of Bern, Switzerland; 2 Schiller Inc. Laboratory, Wissembourg, France Stimulation and Optical Mapping of Transmembrane Potential The culture dishes (22 mm in diameter) were mounted into a custom-built perfusion chamber and perfused at 35oC with medium M199/7653 (Sigma) on the stage of an inverted microscope (Nikon, TE-300, Nikon Switzerland). Transmembrane potentials were recorded using the voltage-sensitive dye di-8-ANEPPS. The emitted light was collected through a 40x objective and projected on an array of 380 optical fibers arranged in a hexagonal lattice and individually connected to light-sensitive diodes (resolution 25 m). The induced photocurrents were converted to voltage, amplified (frequency range 0 – 3.5kHz) and digitally recorded at a frequency of 10 kHz from a selected subset of 128 fibers. Analysis was perfomed using a custom-written software, based on LabView (National Instruments) and embedded in MatLab (MathWorks). Extracellular field shocks (ECFS’s) producing a homogeneous electrical field were applied by a custom-built defibrillator to two platinum electrodes placed in the cell culture bath, as described previously.1 Electrical field strength was measured in the bulk of the superfusate using a bipolar electrode. The field strength in the bulk used for the electrophysiological experiments, as measured at different locations in the bath amounted to 6,36±0.3 V/cm. However, as suggested by the theoretical analyses of Krassowska and Neu, 2 the effective field strength at the site of current injection into the tissue layer is likely to be smaller in our experimental arrangement. The cultures were stimulated (S1) at 3 - 5 mm remote from the mapping sites using a bipolar electrode (pulse duration 1 – 2ms, 1.5 threshold strength). This bipolar electrode consisted of a patch electrode with a large opening (2 -5 m) serving as a cathode and a platinum wire wound around the electrode shaft serving as an anode. Computation of Time Dependent Changes in Transmembrane Potential (Vm), Determination of the Space Constant and the Time Constant In our experiments we consistently applied ECFS exactly perpendicular to the tissue boundaries. We have previously shown that such an arrangement produces changes in Vm with isopotential lines parallel to the boundaries. transmembrane potential across a patterned 200 1, 3 Figure 1S depicts the changes in m wide strand. The isopotential map showing depolarization (red) close to the cathode and repolarization (blue) close to the anode caused by an ECSF of 6.36V/cm is superimposed on the outline of the strand (light gray). The 2 signals in the inset show the transmembrane action potential with the change in membrane potential during the plateau phase caused by the ECFS. The diode recorded the potential from a circular area of 25 m. Figure 1, on-line supplement: for explanation see text This aspect of the isopotential lines parallel to the strand boundaries made it possible to use a one-dimensional model to calculate the changes in Vm in the direction perpendicular to the border(s) of the cell culture during the ECFS. For our computations, the general linear cable equation was used.4 In the linear one dimensional model, as depicted in Figure 1C, the change in transmembrane voltage, V, in response to an ECFS was represented as follows: 4 eq. I where X is the position x normalized by the length constant structure (distance between boundaries) normalized by the ECFS normalized to the time constant superposition and reflexion principles 4 (T = t/ X = x/ , L is the length of the and T is the time after the onset of The derivation of Eq. I applies the and describes the response of a one-dimensional structure of a finite length L to a stepwise injection of current at X = 0 (at one boundary) and a simultaneous stepwise injection of the same current but with opposite polarity at X = L (other boundary), starting at t = 0. This solution is obtained from the formalism describing an imaginary infinite structure extending beyond the strand boundaries at x=0 and x=L. This can be obtained formally by defining an infinite number of imaginary current sources obtained by “reflecting” the structure of finite length an infinite number of times at the boundaries x=0 and x=L (see reference 4 for a detailed description). In their theoretical analysis of the response of cardiac tissue to an extracellular electrical field using a passive bidomain model of cardiac tissue, Sobie et al. 5 have shown that if the externally applied electric field is uniform and the tissue is isotropic, the activation function (representing the spatial distribution of virtual sources and loads) is solely determined by the gradient of intracellular conductivity. Assuming that our preparations were uniform, this gradient is non-zero only at the boundaries of the strand and vanishes within the strand. Therefore, the activation function corresponds to a source at x=0 and a load of opposite polarity at x=L. Eq. I thus represents V(x,t) in a manner which is equivalent to that in the bidomain model of Sobie et al. for the particular case of an infinitely long homogeneous and isotropic strand of width L, subjected to an uniform extracellular field perpendicular to the strand. For the case of a single boundary (half-plane monolayer), L → ∞. In a similar way, the superposition principle was also used to compute the response of the tissue to a sequence of short pulses. Time course of Vm during the make and the break of ECFS Application of rectangular ECFSs to whole hearts has recently been shown to produce a hysteresis loop in the delivered current.6 Accordingly, it has been postulated that a change in the resistive circuitry responsible for carrying electrical charge to the cell membranes might be affected very early during short ECFSs. Electroporation of the cell membrane was considered as the most likely mechanism involved. Supplemental Figure 2 shows a transmembrane action potential with the change in Vm produced by an ECSF applied 40 ms after the action potential onset (Panel A). Panel B depicts the enlarged segment of the signal during the ECFS. The slow rise and decrease of Vm during and after the pulse (predicted by eq.1 above) makes it highly unlikely that a shunt resistance, suggesting electroporation, developed during ECFS application in our experiments. This is in line with the further observations in our model that the repetitive application of pulses did not change their time course, and that the internalization of the dye Lucifer Yellow and a decrease in Vm after approximately 3 ms during an ECSF have been observed in our model only at substantially higher field strengths (> 20 V/cm). 1, 7 Figure 2, on-line supplement: for explanation see text. References 1. Gillis AM, Fast VG, Rohr S, Kleber AG. Spatial changes in transmembrane potential during extracellular electrical shocks in cultured monolayers of neonatal rat ventricular myocytes. Circ Res. 1996;79:676-690. 2. Krassowska W, Neu JC. Response of a single cell to an external electric field. Biophys J. 1994;66:1768-1776. 3. Dosdall DJ, Fast VG, Ideker RE. Mechanisms of defibrillation. Annu Rev Biomed Eng. 2010;12:233-258. 4. Jack J, Noble D, Tsien R. Electric current flow in excitable tissues. Clarendon Press Oxford; 1975. 5. Sobie EA, Susil RC, Tung L. A generalized activating function for predicting virtual electrodes in cardiac tissue. Biophys J. 1997;73:1410-1423. 6. Malkin RA, Guan D, Wikswo JP. Experimental evidence of improved transthoracic defibrillation with electroporation-enhancing pulses. IEEE Trans Biomed Eng. 2006;53:1901-1910. 7. Tung L, Kleber AG. Virtual sources associated with linear and curved strands of cardiac cells. Am J Physiol Heart Circ Physiol. 2000;279:H1579-1590.