HB04 Modelling myelinated axons

Page 1

Axonal Excitability Workshop

Antalya, December 2012

Modelling myelinated axons: from Hodgkin-Huxley to the Barrett & Barrett model


Passive electrical components of axon membrane: i ENa

EK

ECl C

V GNa

GK

GCl

Total current = ionic current + capacity current i = iNa + iK + iCl + C.dV/dt i = GNa(V-ENa) + GK(V-EK) + GCl(V-ECl) + C.dV/dt


Active electrical components: Ionic conductances are time and voltagedependent variables: i ENa

EK

ECl C

V GNa

GK

GCl

Total current = ionic current + capacity current i = iNa + iK + iCl + C.dV/dt i = GNa(V-ENa) + GK(V-EK) + GCl(V-ECl) + C.dV/dt


Hodgkin-Huxley model of squid axon membrane I = Iionic + Icapacity

I = INa + IK + ILk + C.dV/dt INa = GNa(E-ENa) =m3h GNa(E-ENa)

I ENa

EK

IK = GK(E-EK) = n4 GK(E-EK)

ELk C

GNa

GK

ILk = GLk(E-ELk)

GLk dm/dt = αm(1-m) - βmm dh/dt = αh(1-h) - βhh dn/dt = αn(1-n) – βnn

Where ‘α’s and ‘β’s are empirical functions of membrane potential


Model

Squid axon



Model used to simulate saltatory conduction in demyelinated axons cf. Fitzhugh, 1962; Goldman & Albus, 1968

Node

ENa

EK

ENa

ELk CM

CN

V GNa

GK

Outside

Myelin

GLk

RM

RAx

EK

ELk

CM RM

CN GNa

GK

GLk

RAx Inside

1. Paranodal demyelination was modelled by increasing nodal GK and CN. 2. Continuous conduction across a demyelinated internode was simulated by replacing each segment of myelin with a segment of internodal axolemma, with a low density of Na and K channels


Membrane current contours (solid lines indicate inward current, dotted lines outward current)

Normal rat ventral root fibre

Bostock, 1995


Bostock, 1995

Normal rat ventral root fibre

Membrane current contours and action potentials computed for model axon (contours computed for 200Âľm electrode separation)


A

A. Recording from rat ventral root fibre, 6 days after diphtherial toxin injection, showing continuous conduction over a single internode

Bostock, 1995


A

B

C

A. Recording from rat ventral root fibre, 6 days after diphtherial toxin injection, showing continuous conduction over a single internode B,C. Currents and potentials in model nerve with one segment demyelinated and sufficient internodal sodium channels to support continuous conduction (PNa is 4x that in previous figure)

Bostock, 1995


Model used to simulate saltatory conduction in demyelinated axons cf. Fitzhugh, 1962; Goldman & Albus, 1968

Node

ENa

EK

ENa

ELk CM

CN

V GNa

GK

Outside

Myelin

GLk

RM

RAx

EK

ELk

CM RM

CN GNa

GK

GLk

RAx Inside

1. Paranodal demyelination was modelled by increasing nodal GK and CN. 2. Continuous conduction across a demyelinated internode was simulated by replacing each segment of myelin with a segment of internodal axolemma, with a low density of Na and K channels


Fig. 1. Action potentials and depolarizing afterpotentials recorded intracellularly from lizard myelinated peripheral axon.


If membrane potential is kept constant, DAP amplitude does not depend on extracellular K+, as would be expected if it were due to extracellular K+ accumulation.



A

B

Recordings made during penetration of single rat ventral root axon by microelectrode. A: dc potential with respect to bath, B: afterpotential of conducted impulse. After penetration, fibre repolarised as it recovered from damage (a-d) and depolarising afterpotential increased. After a short 200 Hz train, microelectrode slipped out of axon into periaxonal space (e), where action potential amplitude was unchanged, but there was no resting potential and afterpotential was inverted. (Grafe & Bostock, unpublished)



Interaction between GKs and GKf

1 = Control (TTX) 2 = Block of GKs 3 = Block of GKs + GKf

1 = Control (TTX) 2 = Block of GKf 3 = Block of GKf + GKs

“In each case, the drug applied second has the greater effect on the slow electrotonus. This is only to be expected when two parallel conductance pathways are blocked in turn.” Baker et al., 1987


Revised electrical model, based on Barrett-Barrett and electrotonus

Outside Myelin GBB

CM

Node ENa

ENap

EKf

EKs

EKf

EKs

EH

ELk

CN GNa

GNap

GKf

GKs

CI GKf

GKs

GH

GLk

Internode Inside


A

B (i)

(ii)

Modelling electrotonus in rat spinal roots. A: Responses of rat vental root in TTX to different 50 ms current pulses, showing different components of electrotonus. B: Responses of model axon to currents indicated, (i) potential across nodal membrane, (ii) potential across internodal membrane. (Bostock, 1995)


1 = Control (TTX) 2 = Block of GKs 3 = Block of GKs + GKf

1 = Control (TTX) 2 = Block of GKf 3 = Block of GKf + GKs

Modelling electrotonus in rat spinal roots. A,B: Responses of rat dorsal roots in TTX to 50 ms current pulses, showing effects of blocking fast and slow potassium currents. C,D: Matching responses of model axon (Bostock, 1995)


Modelling action potential at human node of Ranvier, and role of GKs in limiting repetitive firing during sustained depolarization

Model (with GKs)

Recorded

Model Model (no GKf)

15

ENa

EKf

EKs

GKS (nS)

Model (without GKs)

ELk CN

GNa

GKf

GKs

GLk

Schwarz et al., 1995


John Rothwell

Latent addition

Latent addition

Principal of the method

Method of recording


Latent addition in motor and sensory axons of normal subject C, D: Fit of 1 and 2 exponentials to 90% hyperpolarizing responses Bostock & Rothwell, 1997


Modelling latent addition

Model 1

Model 2

Model 3

Model 4

Passive RC membrane

Rat node Schwarz Eikhof, 1987

Human node Schwarz et al., 1995

Human node + persistent Na channels

Bostock & Rothwell, 1997


Electrical model of node and internode based on Barrett-Barrett, electrotonus and latent addition

Outside Myelin GBB

CM

Node ENa

ENap

EKf

EKs

EKf

EKs

EH

ELk

CN GNa

GNap

GKf

GKs

CI GKf

GKs

GH

GLk

Internode Inside



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