View clinical trials related to Epilepsy.
Filter by:This research is being done to evaluate the short term and long term effects of ketogenic diets on measures of cardiovascular health. Such measures include cholesterol levels, blood pressure, weight, and thickening of the blood vessel wall over time. Adults aged 18 or older who are already on a ketogenic diet for at least 12 months or who are interested in beginning on the modified Atkins diet may join.
The investigators will conduct at NorthShore University HealthSystem pragmatic trials using the EMR for 10 common neurological disorders. They will demonstrate the feasibility of subgroup based adaptive assignment of treatments, electronic consenting, and outcomes data capture at the point of care using the EMR. They will identify the most effective treatments for common neurological disorders and seek replication by the NPBRN.
The investigators want to characterize high-frequency oscillations (HFOs) in intracranial recordings, which may occur as markers of epileptogenic tissue and also under physiological stimulation. The investigators want to show that recording of high-frequency oscillations (HFOs) is feasible in our project population both intraoperatively and during presurgical physiological conditions.
The purpose of this pilot project is to see if a supplemental form of dietary gangliosides can serve as a potential treatment for the rare metabolic condition called ganglioside GM3 synthase deficiency.
We intend to use focused ultrasound to stimulate or suppress brain activity in patients with epilepsy. We hypothesize that focused ultrasound is capable of brain stimulation or suppression visible with functional MRI, and will not cause tissue damage.
The investigators record the outcome of patients whose surgery involved intraoperative neurophysiological monitoring - Trial with surgical intervention
Deep brain stimulation (DBS) has been established as therapy for severe forms of Parkinson's disease and other indications. A common target for stimulation is the subthalamic nucleus (STN). Nevertheless, there is no agreement on the mechanisms how DBS leads to clinical improvement. The project aims to describe the variability of target coordinates in the patient group and to relate it to clinical outcome as documented in standardized questionaires. - Trial with surgical intervention
This study is designed to investigate whether light therapy may be an effective treatment for some people with epilepsy. Light treatment is already an established treatment for depression. The chemical systems in the brain that are disrupted when someone becomes depressed, overlap with some of those that can be affected during some epileptic seizures. The investigators have designed this study to see whether light therapy may also lead to a decrease in seizures in people who have epilepsy. The study will be a placebo controlled trial. This means that half of the participants will receive a therapeutic dose of light therapy from a light box, whilst the other half will only receive a placebo light treatment.
The overall goal of this project is to better understand the micro-physiology of human epilepsy and cognition using the intracranial electroencephalogram (iEEG), electrical brain stimulation, functional magnetic resonance imaging (fMRI), and histology.
The objective of this study is to use high-frequency brain signals (HFBS) to localize functional brain areas and to characterize HFBS epilepsy, migraine and other brain disorders. We hope to build the world's first high-frequency MEG/MEG/ECoG/SEEG database for the developing brain. HFBS include high-gamma activation/oscillations, high-frequency oscillations (HFOs), ripples, fast ripples, and very high frequency oscillations (VHFOs) in the brain. To reach the goals, we have developed several new MEG/EEG methods: (1) accumulated spectrogram; (2) accumulated source imaging; (3)frequency encoded source imaging; (4) multi-frequency analysis; (5)artificial intelligence detection of HFOs; (6) Neural network analysis (Graph Theory); and (7) others (e.g. ICA, virtual sensors).