Epilepsies
Conditions
Brief summary
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.
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
* Inclusion Criteria for Epilepsy Group Adults diagnosed with epilepsy Availability of routine awake scalp EEG recording suitable for analysis EEG recorded with the study protocol and technical specifications Inclusion Criteria for Control Group Adults without epilepsy Referred for EEG evaluation in the context of syncope differential diagnosis Scalp EEG recording suitable for analysis
Exclusion criteria
* EEG recordings with inadequate technical quality or excessive artifact burden preventing HFO analysis Individuals not meeting study group definitions
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Mean residence time of high-frequency oscillation activity in the ripple band (80-250 Hz) on scalp EEG | At the time of EEG assessment / baseline | The mean duration for which the ripple-band signal envelope remains above the predefined threshold, compared between epilepsy and control groups. |
Countries
Turkey (Türkiye)