ArticlePloS one2019
Mathematical model of Na-K-Cl homeostasis in ictal and interictal discharges.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Modular Model of Neuronal Activity That Captures the Dynamics of Main Molecular Targets of Antiepileptic Drugs.International journal of molecular sciences · 2026Article
- H- and m-channel overexpression promotes seizure-like events by impairing the ability of inhibitory neurons to process correlated inputs.PLoS computational biology · 2025Article
- Localization of the epileptogenic network from scalp EEG using a patient-specific whole-brain model.Network neuroscience (Cambridge, Mass.) · 2025Article
- Article
- Single-compartment model of a pyramidal neuron, fitted to recordings with current and conductance injection.Biological cybernetics · 2023Article
- Optogenetic Low-Frequency Stimulation of Principal Neurons, but Not Parvalbumin-Positive Interneurons, Prevents Generation of Ictal Discharges in Rodent Entorhinal Cortex in an In Vitro 4-Aminopyridine Model.International journal of molecular sciences · 2022Article
- The Anti-Epileptic Effects of Carbenoxolone In Vitro and In Vivo.International journal of molecular sciences · 2022Article
- Ictal wavefront propagation in slices and simulations with conductance-based refractory density model.PLoS computational biology · 2022Article
- An electrodiffusive neuron-extracellular-glia model for exploring the genesis of slow potentials in the brain.PLoS computational biology · 2021Article
- Paradoxical Anticonvulsant Effect of Cefepime in the Pentylenetetrazole Model of Seizures in Rats.Pharmaceuticals (Basel, Switzerland) · 2020Article
- A simple model of epileptic seizure propagation: Potassium diffusion versus axo-dendritic spread.PloS one · 2020Article
- Inhibitory Network Bistability Explains Increased Interneuronal Activity Prior to Seizure Onset.Frontiers in neural circuits · 2019Article
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3 authors.
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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.
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