Year: 2019
Type: dissertation
Abstract: Understanding seizure termination is clinically relevant as it is sometimes followed by the postictal generalized EEG suppression state (PGES), which is a period with suppressed activities and has been found to be associated with sudden unexpected death in epilepsy. This work aims to investigate the hypothesis that the balance of excitation and inhibition (E/I balance) in pathological brain network plays an important role in the dynamics of seizure and PGES. A network of 1000 Izhikevich model neurons was developed, and simulation results were compared with recordings from human epileptic patients. Reduced dominant frequency rise and decay rate before seizure termination and suppression in activity following termination were observed in iEEG recordings of seizures followed by PGES. Those characteristics were reproduced in the simulated local field potential by changing the E/I balance of the model network. Those results highlight the importance of E/I balance in the dynamics of seizure and PGES.
Source: TSpace (University of Toronto)
Author: Yuhan Liu
Language: English
Subfield: Clinical Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W3121214921