Focal epilepsy

This pilot study tests a deep brain stimulation device that sends electrical pulses to two brain areas (STN and CM) to reduce seizures in adults with drug-resistant motor epilepsy. Ten participants will have the device implanted and will be monitored for changes in seizure freque…

This study tests a high-density flexible brain sensor (ECoG) used during surgery to help surgeons precisely remove the area causing seizures. It includes 85 people aged 3-60 with drug-resistant focal epilepsy. The goal is to see if this tool leads to better seizure control after …

This study tests a liquid form of the seizure drug zonisamide in children aged 1 month to 17 years who have partial-onset seizures. The goal is to find the right dose and check for side effects. About 40 children will take the medicine for up to 12 weeks, with a follow-up visit o…

This early-stage trial tests a new cell therapy called UX-GIP001 for adults with drug-resistant temporal lobe epilepsy. The treatment involves injecting special brain cells into the seizure area to calm overactive nerves. Only 12 people will take part, and the main goal is to che…

This study tests a device called EASEE® that is implanted under the skin and above the skull to stimulate the brain and reduce seizures in people with drug-resistant focal epilepsy. Two hundred adults will receive the implant, and half will have the stimulation turned on for 6 mo…

This study tests a non-invasive brain training technique called neurofeedback for people with drug-resistant epilepsy. Participants learn to change their own brain activity to reduce seizures. The study compares real neurofeedback to a sham (fake) version to see if it truly works…

This study tests whether probenecid, a medicine used for gout, can stop cluster seizures in people with focal epilepsy. Participants are patients aged 6 to 50 who are in the hospital for presurgical monitoring and have their usual seizure medications paused to trigger seizures. T…

This study tests a new, more comfortable brain scanner (OPM MEG) that fits directly on the head to locate where seizures start in people with epilepsy. Researchers will compare its accuracy to standard methods in 70 patients aged 6 to 65 who are already scheduled for epilepsy sur…

This study tests whether combining standard MRI with two advanced techniques—MRI volumetry and diffusion tensor imaging—can more accurately identify the seizure-causing brain area in people with temporal lobe epilepsy. Researchers will compare these imaging results with clinical …

This study tests whether a non-invasive brain stimulation technique called temporal interference (TI) can reduce abnormal brain activity and improve sleep in adults with drug-resistant temporal lobe epilepsy. Twenty participants will stay in a sleep lab for six nights, receiving …

This study tests a new, non-invasive brain stimulation method called temporal interference (TI) for people with drug-resistant temporal lobe epilepsy. 30 adults will receive 5 days of TI stimulation targeting the hippocampus. The goal is to see if this reduces seizure frequency o…

This study will use brain electrodes (SEEG) and breathing monitors in 20 adults with drug-resistant epilepsy to map which brain areas control breathing during a challenge. The goal is to understand why some patients experience fatal breathing arrest after seizures (SUDEP). No tre…

This study will track 110 people with drug-resistant focal epilepsy during a hospital stay to see how often they develop mild psychotic symptoms after seizures. Researchers will use psychiatric interviews and questionnaires at three time points. The goal is to better understand t…

This study explores whether a special MRI technique called CEST can locate the brain area causing seizures in people with drug-resistant epilepsy. Researchers will scan 20 patients before surgery and compare the MRI results with standard methods. If it works, this could reduce th…

This study will test whether a mobile app called EPIDAY can predict the daily risk of epileptic seizures in 50 adults with focal epilepsy. Participants will use the app to report symptoms and track seizures for three months. The goal is to see if machine learning can turn these r…