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Spontaneous transitions to focal-onset epileptic seizures: A dynamical study.

Liyuan ZhangQingyun WangGerold Baier
Published in: Chaos (Woodbury, N.Y.) (2021)
Given the complex temporal evolution of epileptic seizures, understanding their dynamic nature might be beneficial for clinical diagnosis and treatment. Yet, the mechanisms behind, for instance, the onset of seizures are still unknown. According to an existing classification, two basic types of dynamic onset patterns plus a number of more complex onset waveforms can be distinguished. Here, we introduce a basic three-variable model with two time scales to study potential mechanisms of spontaneous seizure onset. We expand the model to demonstrate how coupling of oscillators leads to more complex seizure onset waveforms. Finally, we test the response to pulse perturbation as a potential biomarker of interictal changes.
Keyphrases
  • temporal lobe epilepsy
  • machine learning
  • deep learning
  • risk assessment
  • molecular dynamics
  • electron transfer