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Identification Of Metabolite Biomarkers In Epilepsy Using 1h Mrs, Helen Wu

Wayne State University Dissertations

Epilepsy is a serious neurological disorder that affects 1% percent of the global population. Despite its status as one of the oldest neurological disorders known to man, its mechanisms remain poorly understood. Available medications are not curative but provide symptomatic management and do not work for well for more than 30 percent of patients. Because it is nearly impossible to predict on an individual level who will eventually develop epilepsy, it is also a disorder that can only be diagnosed after the patient has experienced established seizure activity, eliminating any possibility of stopping the disorder in its prodromal phase, before …

Linking Molecular, Electrical And Anatomical Properties Of Human Epileptic Brain, Shruti Bagla

Wayne State University Dissertations

Epilepsy is a common neurological disorder of recurrent unprovoked seizures. It affects almost 1% of the world population. Although there is a wide range of anti-epileptic drugs (AEDs) available, they only treat the seizure symptoms and do not cure the disease itself. The poor role of AEDs can be attributed to the lack of knowledge of exact mechanisms and networks that produce epileptic activities in the neocortex. At present, the best cure for epilepsy is surgical removal of electrically localized epileptic brain tissue. Surgically removed brain tissue presents an excellent opportunity to discover the molecular and cellular basis of human …

Multi-Modality Assessment Of Language Function, Erik Carmen Brown

Wayne State University Dissertations

The work presented as part of this dissertation represents a multi-modality study of language structure and function. The primary functional modality employed is task-related electrocorticography (ECoG). This is complemented by discussion and evaluation of previously published functional magnetic resonance imaging (fMRI) data. Language-related structure is explored using diffusion-weighted magnetic resonance imaging in conjunction with ECoG data. The scientific questions pursued are broad and include reevaluation of previously proposed theories.

We start by taking the first steps in validating our naming-related ECoG approach by comparing our results from a small cohort of patients to the clinical gold-standard technique of electrical brain …

The Interictal State In Epilepsy And Behavior, Daniel Tice Barkmeier

Wayne State University Dissertations

Epilepsy is one of the most common neurological diseases, affecting up to 1% of the world population. Epilepsy remains poorly understood and there are currently no medications to cure it. Patients with epilepsy have both seizures as well as another type of abnormal activity between seizures, known as interictal spikes. Interictal spikes have thus far been poorly researched, yet growing evidence supports an important role for them in epilepsy. In this project, we first show the high variability between reviewers in marking interictal spikes on intracranial EEG, and then develop and test an automated detection method to solve this problem. …