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.
Spontaneous transitions to focal-onset epileptic seizures: A dynamical study
Note: This paper is part of the Focus Issue on Dynamical Disease: A Translational Perspective.
Liyuan Zhang, Qingyun Wang, Gerold Baier; Spontaneous transitions to focal-onset epileptic seizures: A dynamical study. Chaos 1 October 2020; 30 (10): 103114. https://doi.org/10.1063/5.0021693
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