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Role of Synchronous Sub-network in the Propagation of Synchronization to the Neuronal Population

Naderi, Amir Mohammad | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55237 (04)
  4. University: Sharif University of Technology
  5. Department: Physics
  6. Advisor(s): Moghimi Araghi, Saman
  7. Abstract:
  8. Epilepsy is one of the most common non-communicable neurological disorders, characterized by recurrent seizure symptoms. Although much progress has been made in the diagnosis, control, and treatment of epilepsy in recent years, the exact mechanism of seizures, the specific method for early diagnosis of epilepsy and related syndromes, and definitive treatment for all patients are not yet known. In a type of seizure known as focal seizure, the electrical activity of neurons at the epilepsy focus synchronizes abnormally, and this synchronization can propagate to other regions of the brain in a process called secondary generalization, which finding a method for its prevention is our essential goal in this study. In recent years, several methods for computational modeling of neural cells, brain tissue networks, and synchronization have been introduced. In this paper, we have examined three models of neural networks that ex- hibit phase transition from asynchronous to synchronous state, which can be suitable models for initiating focal seizures. We have depicted that in the Brunel and Rotator models, synchronization propagation has a wave-like resonance behavior, and by controlling the frequency of electrical activity of neural networks or external stimulation, it is possible to suppress synchronization in epileptic foci. In addition, we have shown that in the heterogeneous neural model, the propagation and suppression of synchronization are not frequency-dependent but are related to the initial synchronization and the size of the epileptic foci
  9. Keywords:
  10. Epilepsy ; Heterogeneous Model ; Electrical Stimulation ; Synchronization Analysis ; Epileptic Seizure Detection ; Rotator Model

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