Diagnosing Epilepsy with Normal Interictal <scp>EEG</scp> Using Dynamic Network Models

EpiScalp provides an accurate diagnostic aid from a single initial EEG recording, even in more challenging epilepsy cases with normal initial EEGs. This may represent a paradigm shift in epilepsy diagnosis by deriving an objective measure of epilepsy likelihood from previously uninformative EEGs. ANN NEUROL 2025;97:907-918.

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Publication Details

Journal
Annals of Neurology
Published
2025-01-16
DOI
https://doi.org/10.1002/ana.27168
Citations
20
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
27.19

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article

Diagnosing Epilepsy with Normal Interictal EEG Using Dynamic Network Models

Michael R. Sperling, Jeff Craley, Khalil S. Husari, Jorge Alvaro Gonzalez-Martinez et al.
20 citations
Annals of Neurology
EEG and Brain-Computer Interfaces
27.19
article

Diagnosing Epilepsy with Normal Interictal EEG Using Dynamic Network Models

Michael R. Sperling, Jeff Craley, Khalil S. Husari, Jorge Alvaro Gonzalez-Martinez, Patrick Myers, Sara K. Inati, Adam Li, Joon‐Yi Kang, Niravkumar Barot, Kareem A. Zaghloul, Babitha Haridas, Dale Wyeth, Vlad Razskazovskiy, Edmund Wyeth, Anto Bagić, Jennifer L. Hopp, Kristin M. Gunnarsdottir, Sridevi V. Sarma, Alana Chandler
article en
20 citations

Abstract

EpiScalp provides an accurate diagnostic aid from a single initial EEG recording, even in more challenging epilepsy cases with normal initial EEGs. This may represent a paradigm shift in epilepsy diagnosis by deriving an objective measure of epilepsy likelihood from previously uninformative EEGs. ANN NEUROL 2025;97:907-918.

Annals of NeurologyVol. 97(5)
University of Maryland, Baltimore (US), National Institutes of Health (US), University of Maryland Medical Center (US), Beth Israel Deaconess Medical Center (US), Johns Hopkins University (US), Thomas Jefferson University Hospital (US), Johns Hopkins Medicine (US), National Institute of Neurological Disorders and Stroke (US), University of Pittsburgh Medical Center (US)
Johns Hopkins University, University of Pittsburgh, Medical Center, University of Pittsburgh, National Institute of Neurological Disorders and Stroke
Openalex Percentile: Top 0%
EEG and Brain-Computer Interfaces
27.19
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