Epilepsy as a disease affecting neural networks: a neurophysiological perspective

Abstract

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.

Objectives: 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.

Keywords: Cirugía de epilepsia; Conectoma; Connectome; EEG; Epilepsia; Epilepsy; Epilepsy surgery; Networks; Neuronal; Neurons; Redes.