Chemistry and Physics Faculty Articles
Document Type
Article
Publication Date
1-8-2021
Publication Title
Frontiers in Computational Neuroscience
Keywords
epilepsy, epileptic seizures, epileptogensis, small-world networks, simulation—computers, neuron, criticality, phase transition
ISSN
1662-5188
Volume
14
Issue/No.
583350
Abstract
Healthy brain function is marked by neuronal network dynamics at or near the critical phase, which separates regimes of instability and stasis. A failure to remain at this critical point can lead to neurological disorders such as epilepsy, which is associated with pathological synchronization of neuronal oscillations. Using full Hodgkin-Huxley (HH) simulations on a Small-World Network, we are able to generate synthetic electroencephalogram (EEG) signals with intervals corresponding to seizure (ictal) or non-seizure (interictal) states that can occur based on the hyperexcitability of the artificial neurons and the strength and topology of the synaptic connections between them. These interictal simulations can be further classified into scale-free critical phases and disjoint subcritical exponential phases. By changing the HH parameters, we can model seizures due to a variety of causes, including traumatic brain injury (TBI), congenital channelopathies, and idiopathic etiologies, as well as the effects of anticonvulsant drugs. The results of this work may be used to help identify parameters from actual patient EEG or electrocorticographic (ECoG) data associated with ictogenesis, as well as generating simulated data for training machine-learning seizure prediction algorithms.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
NSUWorks Citation
Nemzer, L. R., Cravens, G. D., Worth, R. M., Motta, F., Placzek, A., Castro, V., & Lou, J. Q. (2021). Critical and Ictal Phases in Simulated EEG Signals on a Small-World Network. Frontiers in Computational Neuroscience, 14, (583350). https://doi.org/10.3389/fncom.2020.583350. Retrieved from https://nsuworks.nova.edu/cnso_chemphys_facarticles/282
DOI
10.3389/fncom.2020.583350
Comments
This work was supported by Nova Southeastern University President's Faculty Research and Development Grant #335472. The publication fee was funded by the College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, UAE.