Dissertation Defense Announcement
The Herff College of Engineering announces the Final Dissertation of
for the Degree of Doctor of Philosophy
on March 29, 2018 at 9:00 AM in Engineering Administration, Room 202C
Advisor: Mohammed Yeasin
Biomarkers to localize seizure from Electrogortogragraphy to Neurons level
ABSTRACT:Epilepsy is a disorder that is widely realized and results in high morbidity and even mortality. It is defined semiologically in part, but it is a disorder caused by the disturbed synchronization of the natural brain oscillations. The current standard is implanting intracranial electrodes that are continuously connected to an acquisition system while the patient wait in Epilepsy Monitoring Unit (EMU), until the patient to has a seizure. Given enough seizures, this information can be taken to the operating room. Then, the electrodes, which had shown pathologic activity, are marked and surgical resection of the determined pathologic areas follows. This entire process can take up to a month in any given patient and results in considerable patient and system cost. It is known that there are electrophysiologic markers, which happen between seizures, or interictally. However, the question of whether those markers can define the seizure onset zone (SOZ) adequately enough to perform resection has not been resolved completely yet. The purpose of this work is to explore those electrophysiologic biomarkers and define the methods to both detect them reliably and compare them to previously determined SOZ. First, high frequency oscillations (HFO), a now heavily explored interictal electrophysiologic biomarker, are investigated via a pre-worked detector and its role in SOZ determination is considered in the context of both old (interictal epileptiform discharges) and new (phase-amplitude coupling) biomarkers. Further, work is explored for automating the localization process via a machine learning algorithm to automatically classify the SOZ and non-SOZ. We also compared the rate of HFO in/ out of SOZ and resection area in four different epochs: at night, awake time, preictal and ictal. Seizures initiate when most or all neurons in epileptic regions start to fire synchronously. Evidence obtained from the entorhinal cortex (EC) in animal models of epileptiform synchronization show that low-voltage fast (LVF) onset seizures are initiated by synchronous inhibitory events. We sought to establish whether the increased firing of inhibitory interneurons occurs at the onset of spontaneous LVF seizures in patients with mesial-temporal lobe epilepsy, and if the increased firing of excitatory neurons follows this.