Eigenvector biomarker for prediction of epileptogenic zones and surgical success from interictal data

Eigenvector biomarker for prediction of epileptogenic zones and surgical success from interictal data

Introduction:More than 50 million people worldwide suffer from epilepsy. Approximately 30% of epileptic patients suffer from medically refractory epilepsy (MRE), which means that over 15 million people must seek extensive treatment. One such treatment involves surgical removal of the epileptogenic z...

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Main Authors: Sayantika Roy, Armelle Varillas, Emily A. Pereira, Patrick Myers, Golnoosh Kamali, Kristin M. Gunnarsdottir, Nathan E. Crone, Adam G. Rouse, Jennifer J. Cheng, Michael J. Kinsman, Patrick Landazuri, Utku Uysal, Carol M. Ulloa, Nathaniel Cameron, Sara Inati, Kareem A. Zaghloul, Varina L. Boerwinkle, Sarah Wyckoff, Niravkumar Barot, Jorge González-Martínez, Joon Y. Kang, Sridevi V. Sarma
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Network Physiology
Subjects:
epilepsy
network physiology
dynamical network models
interictal
epileptogenic zone (EZ)
Online Access:https://www.frontiersin.org/articles/10.3389/fnetp.2025.1565882/full
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https://www.frontiersin.org/articles/10.3389/fnetp.2025.1565882/full

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