The first aim of this study is to investigate how variations in sleep timing, duration, and structure influence seizure risk, particularly in individuals with sleep-sensitive seizures. The investigators will conduct longitudinal EEG assessments to analyze how changes in sleep features correlate with interictal epileptiform discharge rates and seizure occurrences over time.
The second aim is to develop a sleep quality index that predicts individual risk for sleep-sensitive seizures, the Sleep-Sensitive Epilepsy Risk Index (SERI). This index aims to predict an individual's seizure risk associated with disrupted sleep, facilitating personalized and preventative patient care.
