This observational case-control study aims to evaluate whether high-frequency oscillations (HFOs) detected on scalp electroencephalography (EEG) can differentiate patients with epilepsy from healthy controls. A signal-processing algorithm was developed to identify HFO activity in scalp EEG recordings, with particular focus on ripple (80-250 Hz) and fast ripple (250-500 Hz) frequency bands. Scalp EEG recordings obtained from patients with epilepsy and healthy controls are analyzed after preprocessing and filtering steps. The main outcome is the mean residence time of HFO-related activity above a predefined threshold in the ripple and fast ripple bands. The study investigates whether this noninvasive EEG-based approach may provide a useful biomarker for epilepsy diagnosis.
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Mean residence time of high-frequency oscillation activity in the ripple band (80-250 Hz) on scalp EEG
Timeframe: At the time of EEG assessment / baseline