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Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach to the cortical dynamics

Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

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Page 1: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Zoltán Somogyvári

Hungarian Academy of Sciences,KFKI Research Institute for Particle and Nuclear Physics

Department of Biophysics

A model-based approach to the cortical dynamics

Page 2: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Analysis of cortical dynamics via evoked epilepsy:

Altering the dynamics with pharmacological agents on a

more-or-less known way. Analysis of spatio-temporal

dynamics of the evoked seizure.

Chapter 1

Page 3: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Local field potential during seizure

An experimental epilepsy model:seizure evoked by 4-Aminopyridin.

6s10s

24s

3 phases, based on typical waveshape and frequency.

Page 4: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Data analysis: Wavelet transformation

0 8 16 24 32 40 48 56 64

50

40

30

20

10

0

Time (s)

Fre

quen

cy (

Hz)

Am

plit

ude

Page 5: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

A simple modell of cortical micro-circuits and populational dynamics

Four populations of McCulloch-Pitts type neuron models

Depressing excitatory and non-depressing inhibitory synapses

Noise on the input

Random or topographicconnections between populations

Page 6: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

The behaviour of the model: recurrent seizures and the dynamical attractors

The synaptic depression drives the system from the slowing fully activated regime to regime of the irregular or chaotic oscillation.

Page 7: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Parameter dependence of dynamics

Changeing the relative force of excitation and inhibition, - epileptiform spikes- complex seizures- status epilepticuscould be obtained

Seizures could be eliminated by increasing the strengthof the inhibition

Page 8: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Comparison of the measured and the simulated pseudo-attractors

Simulated

Measured

Page 9: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Three epileptogen drug

4-aminopyridin (4AP): blocks K+-channels and increases thesynaptic transmission

bicuculin (BMI): GABA-receptor blocker, inhibits the inhibition

Mg2+-free solution (MFR): Eliminates the Mg2+ blockades of the NMDA-receptors, thus strenghtens theexcitatory synapses

Page 10: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Measurement of spatio-temporal potential patterns by micro-electrode systems

1.5

mm

Page 11: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

In electrolyte volume conductor the potential satisfies the Poisson-equation

Potentials are driven by Poisson-equation

2 r Ir

E r r

J(r)=E(r)I r J rLow frequency approximation:

Ohm's law:Continuity equation:

Page 12: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Spatio temporal dynamics of epileptic spikes evoked by 4-

AP

Page 13: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Spatio temporal dynamics of epileptic spikes evoked by BIC

Page 14: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Spatio temporal dynamics of epileptic spikes evoked by

MFR

Page 15: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Characteristic features of the current source density maps

Common features in all three type :

A strong source in the IVth lamina

A large sink from the top of the VI.th lamina to the Vth lamina

Late components with small amplitudes

Page 16: Zoltán Somogyvári Hungarian Academy of Sciences, KFKI Research Institute for Particle and Nuclear Physics Department of Biophysics A model-based approach

Characteristic differences between the three CSD maps

Typical differences:

4AP: simple structure,

BMI: strong sink in the III. lamina

MFR: A large sink in the VI. lamina