Quantitative EEG Biomarkers in the Genetic Epilepsies and Associations With Neurologic Outcomes.

Publication/Presentation Date

10-21-2025

Abstract

BACKGROUND AND OBJECTIVES: EEG plays an integral part in the diagnosis and management of children with genetic epilepsies. Nevertheless, how quantitative EEG features differ between genetic epilepsies and neurologic outcomes remains largely unknown. In this study, we aimed to identify quantitative EEG biomarkers in

METHODS: We retrospectively collected clinical scalp EEGs from the Children's Hospital of Philadelphia. After removing artifacts and epochs with excess noise or altered state from EEGs, we extracted spectral features. We validated our preprocessing pipeline by comparing automatically detected posterior dominant rhythm (PDR) with annotations from clinical EEG reports. Next, as a coarse measure of pathologic slowing, we compared the alpha-delta bandpower ratio between controls and patients with different genetic epilepsies. We then trained random forest models with localized spectral features to predict diagnoses of

RESULTS: We evaluated EEGs from individuals with pathogenic variants in

DISCUSSION: These results suggest that some genetic epilepsies and functional outcome measures have distinct quantitative EEG signatures. Furthermore, EEG spectral features are predictive of some functional outcome measures. Large-scale retrospective quantitative analysis of clinical EEGs has the potential to discover novel biomarkers and to quantify and track individuals' disease progression across development.

Volume

105

Issue

8

First Page

214148

Last Page

214148

ISSN

1526-632X

Disciplines

Medicine and Health Sciences | Pediatrics

PubMedID

40986432

Department(s)

Department of Pediatrics

Document Type

Article

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