TAKING MATH TO THE HEART: Pulse Propagation in a Discrete Ring

Similar documents
Complex temporal patterns of spontaneous initiation and termination of reentry in a loop of cardiac tissue

Criteria for the Convergence, Oscillation and Bistability of Pulse Circulation in a Ring of Excitable Media

Mathematical Biology. Criterion for stable reentry in a ring of cardiac tissue. John W. Cain

PCMI Project: Resetting Reentrant Excitation Oscillations in Different Geometries

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

Learning Cycle Linear Hybrid Automata for Excitable Cells

6.3.4 Action potential

Introduction to Physiology V - Coupling and Propagation

Basic mechanisms of arrhythmogenesis and antiarrhythmia

Parameters for Minimal Model of Cardiac Cell from Two Different Methods: Voltage-Clamp and MSE Method

Periodic Behavior in Cardiac Tissue: Dynamics of Spatially Discordant Calcium Alternans

Classifying Mechanisms of Spiral Wave Breakup Underlying Cardiac Fibrillation Using Quantitative Metrics

Multiple Mechanisms of Spiral Wave Breakup in a Model of Cardiac Electrical Activity

SYNCHRONIZATION PROBLEM OF THE COUPLED MODIFIED VAN DER POL EQUATIONS IN A MODEL OF THE HEART ACTION

Systems Biology Across Scales: A Personal View XXVI. Waves in Biology: From cells & tissue to populations. Sitabhra Sinha IMSc Chennai

3-dimensional simulation of long QT syndrome: early afterdepolarizations and reentry Ray Huffaker, Boris Kogan

Analysis of Damped Oscillations during Reentry: A New Approach to Evaluate Cardiac Restitution

APPM 2360 Project 3 Mathematical Investigation of Cardiac Dynamics

Origins of Spiral Wave Meander and Breakup in a Two-Dimensional Cardiac Tissue Model

The Physics of the Heart. Sima Setayeshgar

Chapter 17. Current and Resistance

Boundary-induced reentry in homogeneous excitable tissue

Real-time computer simulations of excitable media: Java as a scientific language and as a wrapper for C and Fortran programs

Chapter 17 Current and Resistance

Introduction and Background

Cellular Electrophysiology. Cardiac Electrophysiology

Transport of ions across plasma membranes

System Modelling using Event-B

The Department of Electrical Engineering. nkrol Mentors: Dr. Mohammad Imtiaz, Dr. Jing Wang & Dr. In Soo Ahn

By: Jarrett L. Lancaster, Edward H. Hellen and Esther M. Leise

SPATIOTEMPORAL DYNAMICS OF PACING IN MODELS OF ANATOMICAL REENTRY

ACTION POTENTIAL. Dr. Ayisha Qureshi Professor MBBS, MPhil

CSD-TR R. Samade, B. Kogan

ROLE OF BIDOMAIN MODEL OF CARDIAC TISSUE IN THE DYNAMICS OF PHASE SINGULARITIES

Peripheral Nerve II. Amelyn Ramos Rafael, MD. Anatomical considerations

The role of short term memory and conduction velocity restitution in alternans formation

Examples of Excitable Media. Excitable Media. Characteristics of Excitable Media. Behavior of Excitable Media. Part 2: Cellular Automata 9/7/04

Application to Experiments

Electrodes MB - JASS 09. Metal in electrolyte

Real-time computer simulations of excitable media:

MEMBRANE POTENTIALS AND ACTION POTENTIALS:

CALIFORNIA STATE UNIVERSITY, NORTHRIDGE. Cardiac Cells. For the degree of Master of Science in Physics. Gonzalo Hernandez Hernandez

Locating Order-Disorder Phase Transition in a Cardiac System

Topological target patterns and population oscillations in a network with random gap junctional coupling

PUBLISHED VERSION PERMISSIONS.

Asymptotic stability for difference equations with decreasing arguments

The Physics of the Heart. Sima Setayeshgar

Lecture 4: Importance of Noise and Fluctuations

Quantitative Electrophysiology

Membrane Potentials, Action Potentials, and Synaptic Transmission. Membrane Potential

Bifurcation analysis of a normal form for excitable media: Are stable dynamical alternans on a ring possible?

Chapter 2 Basic Cardiac Electrophysiology: Excitable Membranes

Physiology Unit 2. MEMBRANE POTENTIALS and SYNAPSES

Electrical Signaling. Lecture Outline. Using Ions as Messengers. Potentials in Electrical Signaling

Simulation of Cardiac Action Potentials Background Information

Automatic Validation and Optimisation of Biological Models

Rate-dependent propagation of cardiac action potentials in a one-dimensional fiber

Scroll Waves in Anisotropic Excitable Media with Application to the Heart. Sima Setayeshgar Department of Physics Indiana University

Linearized methods for ordinary di erential equations

Research Article Identification of Premature Ventricular Cycles of Electrocardiogram Using Discrete Cosine Transform-Teager Energy Operator Model

Analysis of a Modified Feedback Control Technique for Suppressing Electrical Alternans in Cardiac Tissue

Condition for alternans and its control in a two-dimensional mapping model of paced cardiac dynamics

Hearts ablaze! Radio Frequency Ablation as Treatment for Cardiac Arrhythmia

An Approach for Applying Data Assimilation Techniques for Studying Cardiac Arrhythmias

Computer Science Department Technical Report. University of California. Los Angeles, CA

Physiology Unit 2. MEMBRANE POTENTIALS and SYNAPSES

Conduction velocity restitution in models of electrical excitation in the heart

Scroll Waves in Anisotropic Excitable Media with Application to the Heart. Sima Setayeshgar Department of Physics Indiana University

Basic elements of neuroelectronics -- membranes -- ion channels -- wiring

How do nerve cells behave? At

NE 204 mini-syllabus (weeks 4 8)

لجنة الطب البشري رؤية تنير دروب تميزكم

Chapter 2: Unit and Measurement

Closed-loop Verification of Medical Devices With Model Abstraction and Refinement

ECG Noise Filtering Using Online Model-Based Bayesian Filtering Techniques

Name: Lab Partner: Section:

JC: You want to see self-organization at work? Test each part of the circuit one by one. You ll see that the whole is more than the sum of its parts

Kinematics of fluid motion

2011 NSF-CMACS Workshop on Atrial Fibrillation (5 th day )

Lecture 4: Feed Forward Neural Networks

2013 NSF-CMACS Workshop on Atrial Fibrillation

Introduction and the Hodgkin-Huxley Model

Systems Biology: Theoretical Biology. Kirsten ten Tusscher, Theoretical Biology, UU

Math Notes on sections 7.8,9.1, and 9.3. Derivation of a solution in the repeated roots case: 3 4 A = 1 1. x =e t : + e t w 2.

Relating Voltage, Current and Resistance

Math 345 Intro to Math Biology Lecture 20: Mathematical model of Neuron conduction

The Significance of Reduced Conductance in the Sino-Atrial Node for Cardiac Rythmicity

Stability conditions for the traveling pulse: Modifying the restitution hypothesis

Nerve Signal Conduction. Resting Potential Action Potential Conduction of Action Potentials

Bo Deng University of Nebraska-Lincoln UNL Math Biology Seminar

EIGENVALUE BASED ALTERNANS PREDICTION AND THE EFFECTS OF HEART RATE VARIABILITY ON ALTERNANS FORMATION

Microsystems for Neuroscience and Medicine. Lecture 9

Ch 7. The Nervous System 7.1 & 7.2

Extending Phase Reduction to Excitable Media: Theory and Applications

Overview Organization: Central Nervous System (CNS) Peripheral Nervous System (PNS) innervate Divisions: a. Afferent

Chapter 18 Electric Currents

March 9, :18 Int J. Bifurcation and Chaos/INSTRUCTION FILE Morfu2v2 EFFECT OF NOISE AND STRUCTURAL INHOMOGENEITIES IN REACTION DIFFUSION MEDIA

BME 5742 Biosystems Modeling and Control

Homework 1 solutions

Ionic Charge Conservation and Long-Term Steady State in the Luo Rudy Dynamic Cell Model

Transcription:

TAKING MATH TO THE HEART: Pulse Propagation in a Discrete Ring HASSAN SEDAGHAT Department of Mathematics, Virginia Commonwealth University, Richmond, VA 23284-2014, USA The Discrete Ring or Loop A (discrete) ring of excitable media is a closed, nite network of cells capable of generating and conducting electro-chemical signals, or pulses called action potentials. Prominent examples of such networks include circuits of neurons in the brain and the nervous system, and also loops of cardiac cells within the heart (we use the heart for the scienti c context of this note). 1

The next picture shows what such a ring might look like in the heart (black patch at the bottom of the left ventricle). Reentrant Arrhythmias The existence of a conducting ring of tissue may cause a form of tachyarrhythmia, i.e., abnormal fast rhythm in heart beats. Certain types of tachyarrhythmias may lead to cardiac arrest and sudden death if not immediately stopped. 2

A form of potentially life-threatening tachyarrhythmia that occurs in a conducting loop is called reentrant. The loop itself is called a reentrant circuit. The term reentrant refers to the reentry of an action potential pulse in the loop throught a region of unidirectional block (UB) - shaded lightly in the gure. The UB region stops propagation in one direction, thus permitting a pulse to reenter the loop without being stopped by an opposing pulse. The Ring as a Discrete Dynamical System The propagation of a reentrant pulse in a loop can be modeled mathematically using di erence equations on a discrete space, namely, the abstracted closed network that represents the loop. The loop is divided into m cell aggregates, or units, that constitute a nite space. An m-dimensional dynamical system is de ned on this discrete space where each time unit corresponds to one complete cycle, i.e., once around the loop. Each vector in the state space has the form DI n = (DI 1;n ; : : : ; DI m;n ) where non-negative real numbers DI i;n give the diastolic intervals or the rest periods for each unit i = 1; : : : ; m: Here is a schematic view of the evolution of the states; in the case of the heart, each state corresponds to one beat. Reentry of the action potential pulse in the loop at unit #1 completes a cycle which is then repeated. During each beat, the pulse moves outwards, away from the loop and neutralizes the normal action of heart s pacemakers (the self-oscillatory Sinoatrial or SA node and the atrioventricular or AV node). If a reentrant pulse takes over, the normal SA beat rate of about 70 bpm is replaced by a fast rate that often exceeds 200 bpm. The existence of an anomalous ring is not necessary for the initiation of reentry and the occurrence of tachyarrhythmia. A UB region is also required. The imbalance of ionic current generated by a unit in the UB region and the activation current threshold of the adjacent unit is one of the possible causes for the occurrence of the UB region. Even if the UB region is active, other factors such as the concduction velocity CV of the pulse (also called the speed of the wavefront ) or the action potential duration, APD may inhibit the initiation of reentry. 3

There may also be several rings in multiple locations in the heart whose actions may cancel each other if reentry does initiate in some of them. If reentry is initated in a ring, it may terminate spontaneously because of several factors, including the inactivation of the UB feature. Sustained Reentry If reentry initiates and does not terminate internally, then we have sustained reentry. This can be stopped by means of electrical shocks to the heart, either externally or by implantable de brillator devices. Sustained reentry in a loop can be modeled by means of a higher order, nonlinear di erence equation that is obtained from a special system of partial di erence equations called a coupled map lattice. 1. The coupled map lattice (CML): The duration or length of each beat or cycle n is the time that it takes the pulse to complete one turn around the loop from a given node back to that node again. For each node i this length of time is on the one hand: AP D i;n + DI i;n 4

and on the other hand it is: Xi 1 CT j;n+1 + j=1 mx CT j;n : j=i Here AP D is the action potential duration and CT is the conduction time of the action potential pulse (or the wavefront) across a unit. Setting the two quantities above equal to each other, gives the coupled-map lattice. 2. The restitution functions: The two quantities AP D and CD are functions of DI: In the simplest case, we have: AP D i;n = A(DI i;n 1 ) CT i;n = L i C(DI i;n 1 ) where the single-variable functions A; C are, respectively, the restitution of AP D and the restitution of CD: The function A is increasing and the function C is decreasing. The numbers L i, i = 1; : : : ; m are the physical lengths of the m units that make up the ring. The CML Xi 1 L j C(DI j;n ) + j=1 mx L j C(DI j;n 1 ) j=i = A(DI i;n 1 ) + DI i;n ; i = 1; : : : ; m is a system of m partial di erence equations: For numerical simulations, exponential type functions are commonly used to de ne A and C. For example, A(t) = a be t C(t) = c + de!t where the positive real numbers a; b; ; c; d;! are parameters of the model that can be determined from curve tting of experimental data or from the solutions of partial di erential equations used to model the physiological aspects of each cell. 5

3. CML reduced to an ordinary di erence equation: Make a change of variables x mn+i = DI i;n ; mn+i = L i for all n = 0; 1; 2; : : : and use the restitution functions in the CML to obtain the ordinary di erence equation x mn+i = mn+i X 1 j=mn m+i j C(x j ) A(x mn m+i ) This can be re-written in a more conventional form by setting k = mn + i to get x k = Xk 1 j=k m j C(x j ) A(x k m ): This is the pulse propagation equation in sustained reentry mode. Note that this equation is also a higher order, ordinary di erence equation. 6