The mhr model is described by 30 ordinary differential equations (ODEs): one. ion concentrations and 23 equations describing channel gating.



Similar documents
Bi 360: Midterm Review

Action Potentials I Generation. Reading: BCP Chapter 4

Propagation of Cardiac Action Potentials: How does it Really work?

EXCITABILITY & ACTION POTENTIALS page 1

Simulation of an Action Potential using the Hodgkin-Huxley Model in Python. Nathan Law Medical Biophysics 3970

How To Understand The Distributed Potential Of A Dendritic Tree

BIOPHYSICS OF NERVE CELLS & NETWORKS

Passive Conduction - Cable Theory

PSIO 603/BME Dr. Janis Burt February 19, 2007 MRB 422; jburt@u.arizona.edu. MUSCLE EXCITABILITY - Ventricle

1 Finite difference example: 1D implicit heat equation

The Action Potential Graphics are used with permission of: adam.com ( Benjamin Cummings Publishing Co (

Electrocardiography I Laboratory

Neurophysiology. 2.1 Equilibrium Potential

Slide 1. Slide 2. Slide 3. Cable Properties. Passive flow of current. Voltage Decreases With Distance

Lecture Outline. Cardiovascular Physiology. Cardiovascular System Function. Functional Anatomy of the Heart

CHAPTER XV PDL 101 HUMAN ANATOMY & PHYSIOLOGY. Ms. K. GOWRI. M.Pharm., Lecturer.

Nerves and Nerve Impulse

An Introduction to Core-conductor Theory

Physics 9e/Cutnell. correlated to the. College Board AP Physics 1 Course Objectives

Model Order Reduction for Linear Convective Thermal Flow

HOW TO SELECT VARISTORS

PART I: Neurons and the Nerve Impulse

Shock test severity based on Shock Response Spectrum

A wave lab inside a coaxial cable

Activity 5: The Action Potential: Measuring Its Absolute and Relative Refractory Periods Yes Yes No No.

Doppler. Doppler. Doppler shift. Doppler Frequency. Doppler shift. Doppler shift. Chapter 19

W03 Analysis of DC Circuits. Yrd. Doç. Dr. Aytaç Gören

SECTION 2 Transmission Line Theory

Biology 347 General Physiology Lab Advanced Cardiac Functions ECG Leads and Einthoven s Triangle

Laboratory 4: Feedback and Compensation

Step Response of RC Circuits

VBA Macro for construction of an EM 3D model of a tyre and part of the vehicle

Resting membrane potential ~ -70mV - Membrane is polarized

Introduction to Cardiac Electrophysiology, the Electrocardiogram, and Cardiac Arrhythmias INTRODUCTION

E190Q Lecture 5 Autonomous Robot Navigation

The Membrane Equation

Analyzing Electrical Effects of RTA-driven Local Anneal Temperature Variation

Section 5.0 : Horn Physics. By Martin J. King, 6/29/08 Copyright 2008 by Martin J. King. All Rights Reserved.

Cable and Compartmental Models of Dendritic Trees

Rock Bolt Condition Monitoring Using Ultrasonic Guided Waves

TDA W Hi-Fi AUDIO POWER AMPLIFIER

ε: Voltage output of Signal Generator (also called the Source voltage or Applied

Agilent AN 1316 Optimizing Spectrum Analyzer Amplitude Accuracy

Solving ODEs in Matlab. BP205 M.Tremont

Cellular Calcium Dynamics. Jussi Koivumäki, Glenn Lines & Joakim Sundnes

440 Geophysics: Heat flow with finite differences

MT..KB SERIES 55 A 90 A 110 A THREE PHASE CONTROLLED BRIDGE. Power Modules. Features. Description. Major Ratings and Characteristics

AN Using RC Thermal Models. Document information

ME6130 An introduction to CFD 1-1

Numerical Methods in MATLAB

Numerical Methods for Engineers

Express Introductory Training in ANSYS Fluent Lecture 1 Introduction to the CFD Methodology

Dynamic Process Modeling. Process Dynamics and Control

Low-gradient severe aortic stenosis with normal LVEF: A disturbing clinical entity

Thermal Resistance, Power Dissipation and Current Rating for Ceramic and Porcelain Multilayer Capacitors

Software Package. Rolf Thieleczek. Distributed by SCCE UG Essen*, Germany

Multiphase Flow - Appendices

Section Four: Pulmonary Artery Waveform Interpretation

Electronic Communications Committee (ECC) within the European Conference of Postal and Telecommunications Administrations (CEPT)

Electrophysiology Introduction, Basics. The Myocardial Cell. Chapter 1- Thaler


Transmission Line and Back Loaded Horn Physics

SOLUTION OF SHIFF SYSTEMS BY USING DIFFERENTIAL TRANSFORM METHOD

Maximum Range Explained range Figure 1 Figure 1: Trajectory Plot for Angled-Launched Projectiles Table 1

PHY3128 / PHYM203 (Electronics / Instrumentation) Transmission Lines. Repeated n times I L

Analysis of free reed attack transients

Starling s Law Regulation of Myocardial Performance Intrinsic Regulation of Myocardial Performance

STUDY OF DAM-RESERVOIR DYNAMIC INTERACTION USING VIBRATION TESTS ON A PHYSICAL MODEL

T = 1 f. Phase. Measure of relative position in time within a single period of a signal For a periodic signal f(t), phase is fractional part t p

Lab 1: Simulation of Resting Membrane Potential and Action Potential

Lab 6: Bifurcation diagram: stopping spiking neurons with a single pulse

AS A Low Dropout Voltage Regulator Adjustable & Fixed Output, Fast Response

Introduction to Engineering System Dynamics

Pushing the limits. Turbine simulation for next-generation turbochargers

ELECTROCARDIOGRAPHY (I) THE GENESIS OF THE ELECTROCARDIOGRAM

Cardiovascular System

Data Sheet. HFBR-0600Z Series SERCOS Fiber Optic Transmitters and Receivers

Transmissive Optical Sensor with Phototransistor Output

Anatomi & Fysiologi The cardiovascular system (chapter 20) The circulation system transports; What the heart can do;

EDUMECH Mechatronic Instructional Systems. Ball on Beam System

The Bergeron Method. A Graphic Method for Determining Line Reflections in Transient Phenomena

Welcome to Vibrationdata

Fiber Optics: Fiber Basics

Case study: how to use cutoff conditions in a FRA frequency scan?

TDA W Hi-Fi AUDIO POWER AMPLIFIER

DDX 7000 & Digital Partial Discharge Detectors FEATURES APPLICATIONS

DDX 7000 & Digital Partial Discharge Detectors FEATURES APPLICATIONS

AVX EMI SOLUTIONS Ron Demcko, Fellow of AVX Corporation Chris Mello, Principal Engineer, AVX Corporation Brian Ward, Business Manager, AVX Corporation

Oscar E. Morel UtilX Corporation

Nursing 113. Pharmacology Principles

Comparison of flow regime transitions with interfacial wave transitions

Finite Element Modules for Enhancing Undergraduate Transport Courses: Application to Fuel Cell Fundamentals

Transcription:

On-line Supplement: Computer Modeling Chris Clausen, PhD and Ira S. Cohen, MD, PhD Computer models of canine ventricular action potentials The mhr model is described by 30 ordinary differential equations (ODEs): one equation describing V m, six equations describing sarcoplasmic and sarcoplasmicreticulum ion concentrations and 23 equations describing channel gating. Unless otherwise noted, all equations and parameter values are identical to those in the HR model 1 (note that variable initial conditions can be found online at rudylab.wustl.edu). All computations were done using the MATLAB mathematical programming environment (see www.mathworks.com). Code was written that preserved accuracy and avoided computational singularities, cf., in the evaluation of z /( e z 1) when z 0. Two programs were written: one simulating an isolated myocyte (membrane model), and one simulating a one-dimensional ring of ventricular tissue (propagated model). Numerical solution of the membrane model The mhr-model ODEs are stiff, with time constants of I Na being <1 ms, while time constants of changes in sarcoplasmic concentrations being >10 s. Integration of the equations was performed using the MATLAB library routine ode15s, a program that excels in solving stiff initial-value problems. The program is an adaptive algorithm that automatically adjusts integration time increments to maintain a relative tolerance of better than 10-3, or an absolute tolerance of better than 10-6. 1

Action potentials were elicited by imposing a brief (typically 0.5-ms) depolarizing current pulse (typically 100 μa/μf) at time t = 0. After any change in a model parameter or condition, the model was paced (1 Hz) to a steady state, whereby equation values following a pacing cycle were supplied as initial conditions to the next cycle. Pacing to a steady state, as assessed by successive identical voltage traces, typically required between 40 and 100 cycles. Supplement Figure 1 shows membrane model action potentials comparing the HR and mhr models, with action potentials elicited by a 80 μa/cm 2 current pulse of 1 ms duration. The action potentials superimpose. The midpoint of h j in the HR model occurs at 70.3 mv, while in the mhr model, the midpoint was shifted to 74.0 mv, a value more typical for a normal ventricular myocyte (see Table 1A). The two plots superimpose when the maximum Na + conductance g Na was increased by 15% from 8.25 ms/μf (HR) to 9.49 ms/μf (mhr), reflecting the fact that the 3.7-mV left-shift in the V & max h j curve resulted in slightly less inward Na+ current. In both models, was 193 V/s, a value less than is seen experimentally where typical values are closer to ~300 V/s. As such, in subsequent simulations using the mhr model, we increased g Na by and additional 50% to 14.2 ms/μf, which produced a V & max of 289 V/s. Finally, the inset of Figure 1 compares the two superimposed action potentials quantitatively (see legend for description of the symbols). Numerical solution of the propagated model 2

To determine conduction velocity and to investigate action-potential shape and duration of a propagating action potential, the 30 ODEs describing the membrane action potential were inserted into the cable equation, which resulted in a partial differential equation describing membrane potential as a function of time (t) and one-dimensional space (x): 2 V m 1 Vm Im( x) =. (1) 2 t S R C dx C V a m m S V is the cell surface-to-volume ratio and was set to 4037 cm 2 /cm 3, the ratio of capacitive membrane area (A cap ) to cell volume (V cell ) reported for the HR model. R a is the axial resistance and was set to 280 Ωcm, a value intermediated between values measured in different myocardial preparations ranging from 180 Ωcm to 470 Ωcm. 2-4 Note that R a reflects not only the sarcoplasmic resistivity (~100 Ωcm), but also the resistance through gap junctions. C m is the cell membrane capacitance, and I m is the total membrane ionic current generated by the membrane action potential. Although the model computes values for some sarcoplasmic ion concentrations, it was assumed that the axial currents during a propagating action potential result in negligible changes in intracellular solute composition. The geometry of the interconnected fibers used in our solution of Supplement equation (1) consists of a closed one-dimensional ring of electrically coupled cells with circumference l, and this results in the (Dirichlet) boundary condition V(x=0) = V(x=l ). The ring is broken into discrete segments (nodes), each with length significantly less than the resting length constant. We used 101 nodes of length Δx = 0.02 cm, for a total circumference l = 2.02 cm. The membrane action potential in each node is described 3

by the 30 ODEs discussed above, resulting in a total of 101 30 = 3030 equations that must be integrated. Integration of Supplement equation (1) was done using Strang splitting 6, an algorithm that integrates the diffusion equation using the Crank-Nicolson method 5, coupled with a two-point Runge-Kutta algorithm 5 for integrating the membrane model at each node. The combined algorithm is second order both in time and space. We verified the accuracy of the algorithm by comparing results computed with Δt = 0.005 ms with the same integration with Δt = 0.002 ms. To improve computational speed, we pre-computed a look-up table for all model equations that were time independent (V m resolution of 0.001 mv). Initial conditions for each of the 101 nodes of the ring were set to values determined by pacing the membrane model to steady state. Action potentials were initiated at time t = 0 using a brief (typically 0.5 ms) depolarizing current pulse (typically 200 μa/μf) applied simultaneously at nodes 1 and 101. This produced two propagating action potentials in the ring: one propagating in the clockwise direction from nodes 1 to 50 (0 to 1 cm), and the other propagating in the counterclockwise direction from nodes 101 to 50 (2.02 to 1 cm). Supplement Figure 2 shows propagating action potentials (midpoint of h j at 74.0 mv and g Na equal to 14.2 ms/μf) where V m (x) is plotted as a function of time at the following distances (x): 0, 0.2, 0.4, 0.6, 0.8 and 1.0 cm (left to right, respectively). The action potential at 0 cm (leftmost trace) is distorted by the depolarizing current pulse. The action potential at 1.0 cm (rightmost trace) is distorted due to the collision of the two action potentials arriving from the clockwise and counterclockwise directions; 4

the resulting larger axial current thus elicits a larger inward current. At distances between 0.2 cm and 0.8 cm (and between 1.8 cm and 1.2 cm, not shown), the action potentials appear nearly identical in shape, reflecting uniform conduction at these regions of the tissue ring. This is also seen in the inset to Supplement Figure 2, which shows the foot of the propagating action potential at 0.6 cm plotted in an expanded time scale; one observes the expected exponentially rising potential as the axial current charges C m. Conduction velocity was computed from the difference of the times at peak amplitude measured at 0.4 cm and 0.6 cm, and equals 46.0 cm/s. References 1. Hund TJ, Rudy Y. Rate dependence and regulation of action potential and calcium transient in a canine ventricular cell model. Circulation. 2004;110:3168-3174. 2. Weidman S. Electrical constants of trabecular muscle from mammalian heart. J Physiol (London). 1970;210:1041-1054. 3. Lieberman M, Sawanobori T, Kootsey JM, Johnson E.A. A synthetic strand of cardiac muscle: its passive electrical properties. J Gen Physiol. 1975; 65:527-550. 4. Ohba M, Sakamoto Y, Tokuno H, Tomita T. Impedance components in longitudinal direction in the guinea-pig taenia coli. J Physiol (London). 1976;256:527-540. 5. Press WH, Flannery BP, Teukolsky SA, Vetterling WT. Numerical Recipes: The Art of Scientific Computing. 1986. Cambridge University Press, Cambridge. 6. Strang, G. Accurate Partial Difference Methods I: Linear Cauchy Problems. Arch. Rat. Mech. Anal. 1963;12:392-402. 5

Figure Legends: Figure 1. Two steady-state action potentials (paced at 1 Hz) comparing the HR and mhr models. The two plots superimpose. Inset: APD 90 action-potential onset time to 90% repolarization; APO, overshoot potential; APA, action-potential amplitude; EDP, end-diastolic potential; V & max, maximum upstroke velocity; hj midpt., potential where g h j equals 0.5; Na, maximum Na + conductance. Figure 2. Propagating action potentials in mhr model showing V m (x) at distances 0, 0.2, 0.4, 0.6, 0.8 and 1.0 cm (left to right). The action potentials are elicited by a brief depolarizing current pulse administered at nodes 1 and 101 (0 and 2.02 cm) at time t = 0. Inset: action potential at 0.6 cm plotted on an expanded time scale (10 15 ms). Conduction velocity is 46.0 cm/s. 6

Supplement Figure 1

Supplement Figure 2