Normative Modeling of Scalp EEG Features During Wakefulness and Sleep
Abstract number :
1.565
Submission category :
3. Neurophysiology / 3G. Computational Analysis & Modeling of EEG
Year :
2024
Submission ID :
1552
Source :
www.aesnet.org
Presentation date :
12/7/2024 12:00:00 AM
Published date :
Authors :
Presenting Author: Marc Jaskir, BS – University of Pennsylvania
Brian Prager, PhD – University of Pennsylvania
Joshua Asuncion, BS – University of Pennsylvania
Kathryn Davis, MD – University of Pennsylvania
Erin Conrad, MD – University of Pennsylvania
Rationale: Scalp EEG is routinely collected to guide seizure onset localization and lateralization. EEG data are typically evaluated visually by clinicians, but quantifying subtle electrographic abnormalities may improve sensitivity to localize seizure foci. Characterizing focal EEG-based abnormalities requires estimating typical variability of regional oscillatory power and interregional synchrony [1-2], but such a resource is not currently available for low density scalp EEG data. Here, we computed normative distributions of scalp EEG features during wakefulness and sleep from patients with psychogenic non-epileptic events (PNEE), who served as a control cohort, and measured relative EEG abnormalities in age-matched epilepsy patients to clinically-determined seizure onset laterality.
Methods: PNEE (n=139) patients were included if at least 5 minutes of continuous wake and sleep EEG data based on clinical annotations were available. Patients with additional neurological diagnoses were excluded. We computed normative distributions for electrode-specific relative band power using Welch’s method and functional connectivity using Pearson correlations.
Results: PNEE patients' data replicated established signatures of sleep, namely decreased alpha-delta relative bandpower ratio during sleep (mean = 0.17) relative to wakefulness (mean = 0.35, p< 0.001) in parieto-occipital electrodes.
Neurophysiology