Epilepsy, a prevalent neurological disorder, affects 40% of patients with uncontrolled seizures despite medications. Sleep disturbance exacerbates epilepsy, and vice versa, but existing literature suffers from limitations. Studies conducted in hospital settings provide only brief observation periods and fail to capture the natural sleep environment. Wearable technology offers a promising solution, providing a nuanced understanding of the relationship between seizures and sleep. The Dreem headband, an EEG-based wearable, is well-suited for such studies, offering ease of use and validated accuracy. This technology enables extended observation periods under stable medication conditions, essential for assessing the complex interplay between sleep and epilepsy. By elucidating the impact of sleep on seizures, the researchers seek to identify patient populations where sleep significantly influences seizure susceptibility, ultimately informing personalized epilepsy treatments.
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.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
SCREENING
Masking
NONE
Enrollment
35
The Dreem headband is an EEG-based wearable tool that can be used to reliably assess the relationship between sleep and epilepsy over extended observation periods.
Duke University Health System
Durham, North Carolina, United States
RECRUITINGTotal sleep time (sleep macrostructure)
Total sleep time as measured by the Dreem headband
Time frame: 21 days
Spike rates per hour (epilepsy marker)
Spikes will be detected by the Dreem headband
Time frame: 21 days
Seizure frequency per night (epilepsy marker)
Seizures will be detected by the Dreem headband
Time frame: 21 days
Sleep latency (sleep macrostructure)
Sleep latency as measured by the Dreem headband
Time frame: 21 days
Wake after sleep onset (sleep macrostructure)
Wake after sleep onset as measured by the Dreem headband
Time frame: 21 days
Sleep efficiency (sleep macrostructure)
Sleep efficiency as measured by the Dreem headband
Time frame: 21 days
Sleep stage distribution (sleep macrostructure)
Sleep stage distribution as measured by the Dreem headband
Time frame: 21 days
Sleep spindle events (sleep microstructure)
Sleep spindles (10-16 Hz; duration 0.5-3 sec) as measured by the Dreem headband
Time frame: 21 days
Sleep slow wave events (sleep microstructure)
Slow waves (0.5-4 Hz) as measured by the Dreem headband
Time frame: 21 days
Performance the SERI model, as measured by the area under the receiver operating characteristic curve
The Sleep-Sensitive Epilepsy Risk Index (SERI) aims to predict an individual's seizure risk associated with disrupted sleep. A high SERI will indicate a high risk for sleep-sensitive seizures, while a low value will indicate a low risk.
Time frame: Up to 2 years after study commencement
Sensitivity of the SERI model
The Sleep-Sensitive Epilepsy Risk Index (SERI) aims to predict an individual's seizure risk associated with disrupted sleep. A high SERI will indicate a high risk for sleep-sensitive seizures, while a low value will indicate a low risk.
Time frame: Up to 2 years after study commencement
Specificity of the SERI model
The Sleep-Sensitive Epilepsy Risk Index (SERI) aims to predict an individual's seizure risk associated with disrupted sleep. A high SERI will indicate a high risk for sleep-sensitive seizures, while a low value will indicate a low risk.
Time frame: Up to 2 years after study commencement
Performance the SERI model, as measured by F1-score
The Sleep-Sensitive Epilepsy Risk Index (SERI) aims to predict an individual's seizure risk associated with disrupted sleep. A high SERI will indicate a high risk for sleep-sensitive seizures, while a low value will indicate a low risk. The F1 score ranges from 0 to 1. A value of 0 indicates poor performance, and a value of 1 represents perfect performance.
Time frame: Up to 2 years after study commencement
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