Abstract

Despite big experimental data on the phenomena and mechanisms of the generation of ictal and interictal discharges (IDs and IIDs), mathematical models that can describe the synaptic interactions of neurons and the ionic dynamics in biophysical detail are not well-established. Based on experimental recordings of combined hippocampal-entorhinal cortex slices from rats in a high-potassium and a low-magnesium solution containing 4-aminopyridine as well as previous observations of similar experimental models, this type of mathematical model has been developed. The model describes neuronal excitation through the application of the conductance-based refractory density approach for three neuronal populations: two populations of glutamatergic neurons with hyperpolarizing and depolarizing GABAergic synapses and one GABAergic population. The ionic dynamics account for the contributions of voltage-gated and synaptic channels, active and passive transporters, and diffusion. The relatively slow dynamics of potassium, chloride, and sodium ion concentrations determine the transitions from pure GABAergic IIDs to IDs and GABA-glutamatergic IIDs. The model reproduces different types of IIDs, including those initiated by interneurons; repetitive IDs; tonic and bursting modes of an ID composed of clustered IID-like events. The simulations revealed contributions from different ionic channels to the ion concentration dynamics before and during ID generation. The proposed model is a step forward to an optimal mathematical description of the mechanisms of epileptic discharges.

Highlights

  • There are numerous studies on epilepsy, the mathematical modeling of epileptic discharges is still a challenge

  • 67% of slices included in analysis were able to generate ictal discharges (IDs) within the recording period of 30 minutes

  • The main portion of each ID was composed of stereotypical bursts of currents with components that reversed at various voltages [16]

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Summary

Introduction

There are numerous studies on epilepsy, the mathematical modeling of epileptic discharges is still a challenge. Kager et al [2,3,4], Cressman et al [5], Ullah et al [6], and Owen et al [7] used a model of a single neuron embedded in its environment to investigate how changing ionic concentrations in the extracellular space influence neuronal excitability.

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