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Updated: Dec 9, 2025

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
Published on: December 18, 2016
Epilepsy as a disease affecting neural networks: A neurophysiological perspective
D San-Juan1, D A Rodríguez-Méndez2
1Departamento de Investigación Clínica, Instituto Nacional de Neurología y Neurocirugía, Ciudad de México, México.
Introduction:
The brain is a series of networks of functionally and anatomically connected, bilaterally represented structures; in epilepsy, activity of any part of the brain affects activity in the other parts. This is relevant for understanding the pathophysiology, diagnosis, and prognosis of the disease.
Objective:
In this study, we present a state-of-the-art review of the neurophysiological view of epilepsy as a disease affecting neural networks.
Results:
We describe the basic and advanced principles of epilepsy as a disease affecting neural networks, based on the use of different clinical and mathematical techniques from a neurophysiological perspective, and signal the limitations of these findings in the clinical context.
Conclusions:
Epilepsy is a disease affecting complex neural networks. Understanding these will enable better management and prognostic confidence.
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