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.
Study Type
OBSERVATIONAL
Enrollment
80
Saglik Bilimleri University Izmir Faculty of Medicine Department of Neurology
Izmir, Turkey (Türkiye)
Mean residence time of high-frequency oscillation activity in the ripple band (80-250 Hz) on scalp EEG
The mean duration for which the ripple-band signal envelope remains above the predefined threshold, compared between epilepsy and control groups.
Time frame: At the time of EEG assessment / baseline
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