Epilepsy Paid Clinical Trials in Connecticut

The purpose of the study is to evaluate the efficacy of lacosamide (LCM) versus an Active Comparator chosen based on standard of care (StOC) in severe and nonsevere seizure burden (defined as total minutes of electroencephalographic neonatal seizures (ENS) per hour) in neonates with seizures that are not adequately controlled with previous anti-epileptic drug (AED) treatment. Read Less

The purpose of this post-approval study is to further evaluate the long-term safety and effectiveness of Medtronic DBS therapy for epilepsy on seizure reduction in newly implanted participants through 3 years of follow-up. Read Less

Primary objective: To evaluate the safety and tolerability of cenobamate in pediatric subjects 2-17 years of age with partial-onset (focal) seizures Read Less

By carrying a careful, large-scale and ambitious prospective study of a cohort of participants with generalized epilepsy, the study team hopes to clarify the likelihood of response and remission in this type of epilepsy, and try to explore the underlying biological drivers of treatment response, including novel realms of exploration such as impact of the microbiome, and genetics. The identification of biomarkers that predict the likelihood of disease response would allow epilepsy patients to make more informed decisions about the factors affecting their quality of life, including plans for driving, relationships, pregnancy, schooling, work, and play. In addition to its impact on clinical care, the data and specimens collected in HEP3, including sequential electrophysiology, biochemical profiles and neuroimaging and banked DNA for future genomics studies, have the potential to provide new insights into the biological basis of IGE, thereby advancing the discovery of effective treatments and cures. By enrolling both newly diagnosed subjects (prognosis unknown) as well as subjects with established IGE who are already determined to be treatment resistant or treatment responsive, the study team can immediately test potential biomarkers in a confirmation cohort, which will accelerate identification of predictive biomarkers. Read Less