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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| epilepsy patients | epileptic patients with eeg | ||
| normal control | non epileptic patients with eeg |
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| Measure | Description | Time Frame |
|---|---|---|
| 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. | At the time of EEG assessment / baseline |
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Inclusion Criteria:
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:
Individuals not meeting study group definitions
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Adults with epilepsy and age- and sex-comparable healthy controls who underwent scalp EEG recording. The control group consisted of individuals referred to the EEG laboratory for syncope differential diagnosis and found suitable for inclusion as controls.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Saglik Bilimleri University Izmir Faculty of Medicine Department of Neurology | Izmir | Turkey (Türkiye) |
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| ID | Term |
|---|---|
| D004827 | Epilepsy |
| ID | Term |
|---|---|
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |
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