Abstract

The mechanisms of epileptic discharge generation and spread are not yet fully known. A recently proposed simple biophysical model of interictal and ictal discharges, Epileptor-2, reproduces well the main features of neuronal excitation and ionic dynamics during discharge generation. In order to distinguish between two hypothesized mechanisms of discharge propagation, we extend the model to the case of two-dimensional propagation along the cortical neural tissue. The first mechanism is based on extracellular potassium diffusion, and the second is the propagation of spikes and postsynaptic signals along axons and dendrites. Our simulations show that potassium diffusion is too slow to reproduce an experimentally observed speed of ictal wavefront propagation (tenths of mm/s). By contrast, the synaptic mechanism predicts well the speed and synchronization of the pre-ictal bursts before the ictal front and the afterdischarges in the ictal core. Though this fact diminishes the role of diffusion and electrodiffusion, the model nevertheless highlights the role of potassium extrusion during neuronal excitation, which provides a positive feedback that changes at the ictal wavefront the balance of excitation versus inhibition in favor of excitation. This finding may help to find a target for a treatment to prevent seizure propagation.

Highlights

  • Epilepsy is characterized by repeated seizures associated with abnormal intense electrical neural discharges

  • By means of simulations we show that the potassium diffusion may cause the propagation of the excitation that leads to the discharge generation but do not determine the speed of ictal wavefronts

  • The second is determined by the spread of spikes and synaptic currents through axons and dendrites isotropically distributed within the cortex

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Summary

Introduction

Epilepsy is characterized by repeated seizures associated with abnormal intense electrical neural discharges. The mechanisms of the generation and propagation of these discharges are not yet fully understood. Understanding these mechanisms is important for medical treatment development and helpful for mathematical modeling as an explanatory example of neuronal synchronization, which is a simpler regime of activity than normal functioning. In contrast to normal brain simulations, epileptic discharges involve the dynamics of ionic concentrations, requiring a more complex mathematical description.

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