The aim of this multi-site study is to evaluate the effectiveness of mHealth intervention strategies for improving anti-epileptic drug adherence in caregivers of young children with epilepsy. A 2-month baseline period will be followed by two stages. In Stage 1 (3-months), caregivers will received either 1) a mHealth education module and automated digital reminders or 2) the mHealth education module, automated digital reminders, and individualized adherence feedback based. In Stage 2 (2-months), caregivers will either receive 1) continued individualized adherence feedback or 2) individualized adherence feedback and a mHealth problem-solving module. The primary outcome is electronically-monitored adherence. Secondary outcomes include seizure severity/frequency, quality of life and healthcare utilization.
This study is to evaluate how safe the study drug XEN1101 is for patients with focal epilepsy when it is taken with the patients standard epileptic medications.
This investigational drug has been tested in healthy volunteers but this is the first time it will be tested in participants with focal-onset epilepsy. The study consists of 3 phases;a screening /baseline phase lasting 4 weeks to confirm participants qualify to enroll in the study, a treatment phase in which participants may or may not receive study drug lasting 8 weeks with 6 study visit appointment visits, and an optional extension phase in which participants will receive study drug for a year with 6 study visits appointments.
This in an exploratory study and the information obtained may lead to new findings regarding the treatment of seizures in adults with drug-resistant focal epilepsy. This study will explore the effectiveness, safety, and of a medication called natalizumab.
This project proposes to develop a system to analyze electroencephalography (EEG) and magnetic resonance imaging (MRI) data from clinical studies of patients with epileptic seizures. This will be called the Next-Generative Neural Data Analysis (NGNDA) platform. This system will use new high-performance computing tools and algorithms to analyze high-dimensional brain data from EEG and MRI. The plan is to create tools for analyzing these big data clinical studies that clinicians can use to improve the care of patients with epilepsy.