Introduction to Physiology V - Coupling and Propagation

Similar documents
6.3.4 Action potential

Basic mechanisms of arrhythmogenesis and antiarrhythmia

Dynamical Systems for Biology - Excitability

Lecture Notes 8C120 Inleiding Meten en Modelleren. Cellular electrophysiology: modeling and simulation. Nico Kuijpers

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

The Physics of the Heart. Sima Setayeshgar

PCMI Project: Resetting Reentrant Excitation Oscillations in Different Geometries

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

The Physics of the Heart. Sima Setayeshgar

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

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

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

Mathematical Models. Chapter Modelling the Body as a Volume Conductor

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

2013 NSF-CMACS Workshop on Atrial Fibrillation

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

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

Electrophysiology of the neuron

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

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

لجنة الطب البشري رؤية تنير دروب تميزكم

Introduction to electrophysiology. Dr. Tóth András

FRTF01 L8 Electrophysiology

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

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

Biomedical Instrumentation

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

Physiology Unit 2. MEMBRANE POTENTIALS and SYNAPSES

BIOE 110: Biomedical Physiology for Engineers Spring 2013 Midterm I Solutions Key

Computational simulation of the heart Edmund Altman 2010/2011

Quantitative Electrophysiology

Reentry in heterogeneous cardiac tissue described by the Luo-Rudy ventricular action potential model

MEMBRANE POTENTIALS AND ACTION POTENTIALS:

Channels can be activated by ligand-binding (chemical), voltage change, or mechanical changes such as stretch.

Models and Measurements of the Anisotropic Cardiac Bidomain

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

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

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

Mathematical Foundations of Neuroscience - Lecture 3. Electrophysiology of neurons - continued

CSD-TR R. Samade, B. Kogan

Nervous Lecture Test Questions Set 2

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

Cardiac Electrophysiology and Mechanoelectric Feedback. Modeling and Simulation

Particles with opposite charges (positives and negatives) attract each other, while particles with the same charge repel each other.

Modeling of Retinal Ganglion Cell Responses to Electrical Stimulation with Multiple Electrodes L.A. Hruby Salk Institute for Biological Studies

Introduction to Physiology II: Control of Cell Volume and Membrane Potential

Physiology Unit 2. MEMBRANE POTENTIALS and SYNAPSES

Quantitative Electrophysiology

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

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

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

APPM 2360 Project 3 Mathematical Investigation of Cardiac Dynamics

Simulation of Cardiac Action Potentials Background Information

Boundary-induced reentry in homogeneous excitable tissue

Quantitative Electrophysiology

Introduction and the Hodgkin-Huxley Model

ACTION POTENTIAL. Dr. Ayisha Qureshi Professor MBBS, MPhil

Mathematical physiology. 1.1 Derive a suitably scaled form of the Michaelis-Menten model for the reaction E + P,, λ = k 2

Introduction to electrophysiology 1. Dr. Tóth András

The Biphasic Mystery: Why a Biphasic Shock is More E4ective than a Monophasic Shock for De5brillation

Real-time computer simulations of excitable media:

9.01 Introduction to Neuroscience Fall 2007

Introduction to Physiology IV - Calcium Dynamics

Transport of ions across plasma membranes

General Physics. Nerve Conduction. Newton s laws of Motion Work, Energy and Power. Fluids. Direct Current (DC)

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

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

PROPERTY OF ELSEVIER SAMPLE CONTENT - NOT FINAL. The Nervous System and Muscle

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

Neurons, Synapses, and Signaling

Nervous Tissue. Neurons Neural communication Nervous Systems

Naseem Demeri. Mohammad Alfarra. Mohammad Khatatbeh

Numerical simulations of cardiac arrhythmias and defibrillation

Threshold dynamics and strength-duration curves

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

Drift-Diffusion Simulation of the Ephaptic Effect in the Triad Synapse of the Retina

Nervous System: Part II How A Neuron Works

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

PUBLISHED VERSION PERMISSIONS.

3 Action Potentials - Brutal Approximations

Voltage-clamp and Hodgkin-Huxley models

Neurophysiology. Danil Hammoudi.MD

Dynamical Systems in Neuroscience: Elementary Bifurcations

Integration of synaptic inputs in dendritic trees

Action Potential Propagation

Neuroscience 201A Exam Key, October 7, 2014

SPATIOTEMPORAL DYNAMICS OF PACING IN MODELS OF ANATOMICAL REENTRY

Ch. 5. Membrane Potentials and Action Potentials

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

arxiv: v1 [physics.bio-ph] 2 Jul 2008

Modelling the effect of gap junctions on tissue-level cardiac electrophysiology

LESSON 2.2 WORKBOOK How do our axons transmit electrical signals?

Resting Distribution of Ions in Mammalian Neurons. Outside Inside (mm) E ion Permab. K Na Cl

Reproducing Cardiac Restitution Properties Using the Fenton Karma Membrane Model

Voltage-clamp and Hodgkin-Huxley models

Nervous Tissue. Neurons Electrochemical Gradient Propagation & Transduction Neurotransmitters Temporal & Spatial Summation

Wave Pinning, Actin Waves, and LPA

Homogenization in Cardiac Electrophysiology and Blow-Up in Bacterial Chemotaxis

Nervous Systems: Neuron Structure and Function

Refractoriness of Cardiac Muscle as Affected by Intercalated Disks: A Model Study Implications for Fibrillation and Defibrillation

Transcription:

Introduction to Physiology V - Coupling and Propagation J. P. Keener Mathematics Department Coupling and Propagation p./33

Spatially Extended Excitable Media Neurons and axons Coupling and Propagation p.2/33

Spatially Extended Excitable Media Mechanically stimulated Calcium waves Coupling and Propagation p.3/33

Conduction system of the heart Coupling and Propagation p.4/33

Conduction system of the heart Electrical signal originates in the SA node. Coupling and Propagation p.4/33

Conduction system of the heart Electrical signal originates in the SA node. The signal propagates across the atria (2D sheet), through the AV node, along Purkinje fibers (D cables), and throughout the ventricles (3D tissue). Coupling and Propagation p.4/33

Spatially Extended Excitable Media The forest fire analogy Coupling and Propagation p.5/33

Spatial Coupling Conservation Law: d (stuff in Ω) = rate of transport + rate of production dt d udv = J nds + fdv dt becomes Ω u t Ω = (D u) + f(u) Ω Flux production f(u) Ω J Coupling and Propagation p.6/33

Coupled Cells Cardiac Cells φ R φ e e 2 e ie C m I ion C m I ion gap junctions C m dφ dt + I ion(φ, w) = i i = φ i i g R g φ 2 i R e + R g (φ 2 φ ) C m dφ 2 dt + I ion(φ 2, w) = i i = R e + R g (φ φ 2 ) Question: Can anything interesting happen with coupled cells that does not happen with a single cell? Take a wild guess. p.7/33

Coupled Cells Normal cell and cell with slightly elevated potassium - uncoupled normal cell "ischemic" cell 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 0 500 000 500 0 0 500 000 500 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 0 0.2 0.4 0.6 0.8 0 0 0.2 0.4 0.6 0.8 Who could have guessed? p.8/33

Coupled Cells Normal cell and cell with slightly elevated potassium - coupled normal cell "ischemic" cell 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 0 500 000 500 0 0 500 000 500 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 0 0.2 0.4 0.6 0.8 0 0 0.2 0.4 0.6 0.8 Who could have guessed? p.8/33

Coupled Cells Normal cell and cell with moderately elevated potassium - uncoupled normal cell "ischemic" cell 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 0 500 000 500 0 0 500 000 500 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 0 0.2 0.4 0.6 0.8 0 0 0.2 0.4 0.6 0.8 Who could have guessed? p.8/33

Coupled Cells Normal cell and cell with moderately elevated potassium - coupled normal cell "ischemic" cell 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 0 500 000 500 0 0 500 000 500 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 0 0.2 0.4 0.6 0.8 0 0 0.2 0.4 0.6 0.8 Who could have guessed? p.8/33

Coupled Cells Normal cell and cell with greatly elevated potassium - uncoupled normal cell "ischemic" cell 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 0 500 000 500 0 0 500 000 500 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 0 0.2 0.4 0.6 0.8 0 0 0.2 0.4 0.6 0.8 Who could have guessed? p.8/33

Coupled Cells Normal cell and cell with greatly elevated potassium - coupled normal cell "ischemic" cell 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 0 500 000 500 0 0 500 000 500 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0.2 0 0 0.2 0.4 0.6 0.8 0 0 0.2 0.4 0.6 0.8 Who could have guessed? p.8/33

Axons and Fibers V e (x) r e dx V e (x+dx) Extracellular space I t dx I e (x) I t dx C m dx I ion dx C m dx I ion dx Cell membrane I i (x) V i (x) r i dx V i (x+dx) Intracellular space From Ohm s law V i (x+dx) V i (x) = I i (x)r i dx, V e (x+dx) V e (x) = I e (x)r e dx, In the limit as dx 0, I i = r i dv i dx, I e = r e dv e dx. Coupling and Propagation p.9/33

The Cable Equation V e (x) r e dx V e (x+dx) Extracellular space I t dx I e (x) I t dx C m dx I ion dx C m dx I ion dx Cell membrane I i (x) V i (x) r i dx V i (x+dx) Intracellular space From Kirchhoff s laws I i (x) I i (x + dx) = I t dx = I e (x + dx) I e (x) In the limit as dx 0, this becomes I t = I i x = I e x. Coupling and Propagation p.0/33

The Cable Equation Combining these I t = x ( r i + r e V x ), and, thus, C m V t + I ion = I t = x ( r i + r e V x ). This equation is referred to as the cable equation. Coupling and Propagation p./33

Modelling Cardiac Tissue Cardiac Tissue - The Bidomain Model: At each point of the cardiac domain there are two comingled regions, the extracellular and the intracellular domains with potentials φ e and φ i, and transmembrane potential φ = φ i φ e. Coupling and Propagation p.2/33

Modelling Cardiac Tissue Cardiac Tissue - The Bidomain Model: At each point of the cardiac domain there are two comingled regions, the extracellular and the intracellular domains with potentials φ e and φ i, and transmembrane potential φ = φ i φ e. These potentials drive currents, i e = σ e φ e, i i = σ i φ i, where σ e and σ i are conductivity tensors. Coupling and Propagation p.2/33

Modelling Cardiac Tissue Cardiac Tissue - The Bidomain Model: At each point of the cardiac domain there are two comingled regions, the extracellular and the intracellular domains with potentials φ e and φ i, and transmembrane potential φ = φ i φ e. These potentials drive currents, i e = σ e φ e, i i = σ i φ i, where σ e and σ i are conductivity tensors. Total current is i T = i e + i i = σ e φ e σ i φ i. Coupling and Propagation p.2/33

Kirchhoff s laws: Total current is conserved: (σ i φ i + σ e φ e ) = 0 Coupling and Propagation p.3/33

Imagine the Kirchhoff s laws: Total current is conserved: (σ i φ i + σ e φ e ) = 0 Transmembrane current is balanced: φ Extracellular Space χ ( C m τ + I ion ) = (σ i φ i ) C I φ = φ φ m ion i e Intracellular Space φ e φ i Coupling and Propagation p.3/33

Imagine the Kirchhoff s laws: Total current is conserved: (σ i φ i + σ e φ e ) = 0 Transmembrane current is balanced: φ Extracellular Space χ ( C m τ + I ion ) = (σ i φ i ) C I φ = φ φ m ion i e Intracellular Space φ e surface to volume ratio, φ i Coupling and Propagation p.3/33

Imagine the Kirchhoff s laws: Total current is conserved: (σ i φ i + σ e φ e ) = 0 Transmembrane current is balanced: φ Extracellular Space χ ( C m τ + I ion ) = (σ i φ i ) C I φ = φ φ m ion i e Intracellular Space φ e surface to volume ratio, capacitive current, φ i Coupling and Propagation p.3/33

Imagine the Kirchhoff s laws: Total current is conserved: (σ i φ i + σ e φ e ) = 0 Transmembrane current is balanced: φ Extracellular Space χ ( C m τ + I ion ) = (σ i φ i ) C I φ = φ φ m ion i e Intracellular Space φ e surface to volume ratio, capacitive current, ionic current, φ i Coupling and Propagation p.3/33

Imagine the Kirchhoff s laws: Total current is conserved: (σ i φ i + σ e φ e ) = 0 Transmembrane current is balanced: φ Extracellular Space χ ( C m τ + I ion ) = (σ i φ i ) C I φ = φ φ m ion i e Intracellular Space surface to volume ratio, capacitive current, ionic current, and current from intracellular space. φ e φ i Coupling and Propagation p.3/33

Imagine the Kirchhoff s laws: Total current is conserved: (σ i φ i + σ e φ e ) = 0 Transmembrane current is balanced: φ Extracellular Space χ ( C m τ + I ion ) = (σ i φ i ) C I φ = φ φ m ion i e Intracellular Space surface to volume ratio, capacitive current, ionic current, and current from intracellular space. φ e φ i Boundary conditions: n σ i φ i = 0, n σ e φ e = I(t, x) and Ω I(t, x)dx = 0 on Ω. + Coupling and Propagation p.3/33

Imagine the Consequences of the Bidomain Model-I: With current applied at the boundary of the domain, there is depolarization and hyperpolarization at the boundaries. For a homogeneous medium, in the interior (several space constants from the boundary), the transmembrane potential is unaffected. Extracellular Space + Intracellular Space Coupling and Propagation p.4/33

Consequences of the Bidomain Model-II: Resistive inhomogeneities lead to sources and sinks of transmembrane current (virtual electrodes) in the interior of the tissue domain: Coupling and Propagation p.5/33

Imagine the Consequences of the Bidomain Model-II: Resistive inhomogeneities lead to sources and sinks of transmembrane current (virtual electrodes) in the interior of the tissue domain: With large scale resistive inhomogeneities: Extracellular Space + Intracellular Space Coupling and Propagation p.5/33

/. -,+* ( (' ) '& ) &%$ $ " " " " " " " " " " " "# "# "# "# "# "# "# "# "# "# "# "# "# "# "# "# "# "# "# "# "# "#! Imagine the Consequences of the Bidomain Model-II: Resistive inhomogeneities lead to sources and sinks of transmembrane current (virtual electrodes) in the interior of the tissue domain: With small scale resistive inhomogeneities: Extracellular Space + 0 0 Intracellular Space Coupling and Propagation p.5/33

Consequences of the Bidomain Model-III: Response to a point stimulus in tissue with unequal anisotropy 00 90 80 70 60 50 40 30 + 20 0 0 20 30 40 50 60 70 80 90 00 Virtual Electrodes Coupling and Propagation p.6/33

Traveling Waves u t = D 2 u x 2 + f(u) with f(0) = f(a) = f() = 0, 0 < a <. There is a unique traveling wave solution u = U(x ct), The solution is stable up to phase shifts, The speed scales as c = c 0 D, U is a homoclinic trajectory of DU + cu + f(u) = 0 3 0.9 2.5 0.8 2 U(x) 0.7 0.6 0.5 0.4 0.3 du/dx.5 0.5 0 0.2 0.5 0. 0 3 2 0 2 3 x.5 0.2 0 0.2 0.4 0.6 0.8.2 U Coupling and Propagation p.7/33

Discreteness Cardiac Cells Gap junctional coupling gap junctions Cardiac Cell Calcium release sites Calcium Release through CICR Receptors Coupling and Propagation p.8/33

Discrete Effects Discrete Cells Discrete Calcium Release Discrete Release Sites dv n dt = f(v n) + d(v n 2v n + v n ) u t = D 2 u x 2 + g(x)f(u) Coupling and Propagation p.9/33

Fire-Diffuse-Fire Model Suppose a diffusible chemical u is released from a long line of evenly spaced release sites; L Release of full contents C occurs when concentration u reaches threshold θ. u t = D 2 u x 2 + n Source(x nh)δ(t t n ) Coupling and Propagation p.20/33

Fire-Diffuse-Fire-II Recall that the solution of the heat equation with δ-function initial data at x = x 0 and at t = t 0 is u(x, t) = 4π(t t0 ) exp( (x x 0) 2 4D(t t 0 ) ) 3 0.26 0.24 2.5 0.22 2 0.2 0.8 u.5 u 0.6 0.4 0.2 0.5 0. 0.08 0 5 4 3 2 0 2 3 4 5 x 0.06 0 2 3 4 5 6 7 8 9 0 t with x fixed Coupling and Propagation p.2/33

Fire-Diffuse-Fire-III Suppose known firing times are t j at position x j = jh, j =,, n. Find t n. At x = x n = nh, u(nh, t) = n X j= C p 4π(t tj ) exp( (nh jh)2 4D(t t j ) ) C p 4π(t tn ) exp( h 2 4D(t t n ) ) = C D t f( h h 2 ) 0.26 0.24 0.22 0.2 F(D t/h 2 ) 0.8 0.6 0.4 0.2 0. 0.08 0.06 0 2 3 4 5 6 7 8 9 0 D t/h 2 Coupling and Propagation p.22/33

Fire-Diffuse-Fire-IV Solve the equation This is easy to do graphically: θh C = f(d t h 2 ) 0.26 0 0.24 9 0.22 8 0.2 7 F(D t/h 2 ) 0.8 0.6 0.4 vh/d 6 5 4 0.2 3 0. 2 0.08 0.06 0 2 3 4 5 6 7 8 9 0 D t/h 2 0 0.06 0.08 0. 0.2 0.4 0.6 0.8 0.2 0.22 0.24 0.26 θ h/c Conclusion: Propagation fails for θh C > θ 0.25 (i.e. if h is too large, θ is too large, or C is too small.) Coupling and Propagation p.23/33

With Recovery Including recovery variables Solitary Pulse Periodic Waves Skipped Beats v t = D 2 v w + f(v, w), x2 t = g(v, w) Coupling and Propagation p.24/33

Periodic Ring Coupling and Propagation p.25/33

The APD Instability in D Stable Pulse on a Ring Unstable Pulse on a Ring Collapse of Unstable Pulse Coupling and Propagation p.26/33

The APD Instability in D Stable Pulse on a Ring Unstable Pulse on a Ring Collapse of Unstable Pulse Coupling and Propagation p.26/33

Dimension 2: Spirals Atrial Flutter Coupling and Propagation p.27/33

Dimension 2: Spirals Spiral instability - Meander: Atrial Flutter Torsade de Pointe Coupling and Propagation p.27/33

Dimension 2: Spirals Spiral instability - Meander: Atrial Flutter Torsahd duh Pwahn Coupling and Propagation p.27/33

The APD Instability in 2D Spiral Breakup Coupling and Propagation p.28/33

Dimension 3: Ventricular Reentrant Activity Ventricular Monomorphic Tachycardia Coupling and Propagation p.29/33

Dimension 3: Cardiac Scroll Wave 3 D structure of a single scroll wave Coupling and Propagation p.30/33

Ventricular Fibrillation Ventricular Fibrillation Surface View Movie 3D View Movie Still unresolved: What is the mechanism for maintenance of fibrillation? (APD instability? Mother rotor hypothesis?) Coupling and Propagation p.3/33

Hypothesized Mechanisms for Initiation of Reentrant Activity How is a dynamical system moved from one state (the normal heartbeat) to another (reentry)? Remark: This is a spatio-temporal system; Single cell explanations are not sufficient. Coupling and Propagation p.32/33

Hypothesized Mechanisms for Initiation of Reentrant Activity How is a dynamical system moved from one state (the normal heartbeat) to another (reentry)? Remark: This is a spatio-temporal system; Single cell explanations are not sufficient. Anatomical - One way block on a closed D loop. (movie) Coupling and Propagation p.32/33

Hypothesized Mechanisms for Initiation of Reentrant Activity How is a dynamical system moved from one state (the normal heartbeat) to another (reentry)? Remark: This is a spatio-temporal system; Single cell explanations are not sufficient. Anatomical - One way block on a closed D loop. (movie) Vulnerable Period - Winfree (S-S2) mechanism (D) (2D) Coupling and Propagation p.32/33

Hypothesized Mechanisms for Initiation of Reentrant Activity How is a dynamical system moved from one state (the normal heartbeat) to another (reentry)? Remark: This is a spatio-temporal system; Single cell explanations are not sufficient. Anatomical - One way block on a closed D loop. (movie) Vulnerable Period - Winfree (S-S2) mechanism (D) (2D) Early After Depolarizations during Vulnerable Period. Coupling and Propagation p.32/33

Hypothesized Mechanisms for Initiation of Reentrant Activity How is a dynamical system moved from one state (the normal heartbeat) to another (reentry)? Remark: This is a spatio-temporal system; Single cell explanations are not sufficient. Anatomical - One way block on a closed D loop. (movie) Vulnerable Period - Winfree (S-S2) mechanism (D) (2D) Early After Depolarizations during Vulnerable Period. Dispersion (i.e. spatial/temporal inhomogeneity) of refractoriness. Coupling and Propagation p.32/33

More Unresolved Issues Why is calcium overload arrhythmogenic? Coupling and Propagation p.33/33

More Unresolved Issues Why is calcium overload arrhythmogenic? Why is long QT syndrome arrhythmogenic? Coupling and Propagation p.33/33

More Unresolved Issues Why is calcium overload arrhythmogenic? Why is long QT syndrome arrhythmogenic? Why are most anti-arrhythmic drugs actually proarrhythmic? Coupling and Propagation p.33/33

More Unresolved Issues Why is calcium overload arrhythmogenic? Why is long QT syndrome arrhythmogenic? Why are most anti-arrhythmic drugs actually proarrhythmic? What is the mechanism of EAD s and are they truly proarrhythmic? Coupling and Propagation p.33/33