Epilepsia como una enfermedad de redes neuronales. Un punto de vista neurofisiológico / Epilepsy as a disease affecting neural networks: A neurophysiological perspective

Introducción: La epilepsia es un conjunto de redes de estructuras cerebrales representadas bilateralmente, que están funcional y anatómicamente conectadas; en la epilepsia, la actividad de cualquier parte del cerebro afecta la actividad de las demás. Esto es relevante para el entendimiento de la fisiopatología, la etiología, el diagnóstico y la prognosis de esta enfermedad.ObjetivoRevisar el estado del arte en cuanto al entendimiento de la visión neurofisiológica de la epilepsia como una enfermedad de redes neuronales.ResultadosSe describen los principios básicos y avanzados de la epilepsia como enfermedad de redes neuronales usando distintos métodos clínicos y matemáticos con una visión neurofisiológica, indicando las limitaciones de estos hallazgos en el contexto clínico.ConclusionesLa epilepsia es una enfermedad de redes neuronales complejas cuyo entendimiento permitirá mejorar los tratamientos disponibles y la certeza pronostica. (AU)

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.ObjectiveIn this study, we present a state-of-the-art review of the neurophysiological view of epilepsy as a disease affecting neural networks.ResultsWe 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.ConclusionsEpilepsy is a disease affecting complex neural networks. Understanding these will enable better management and prognostic confidence. (AU)

Epilepsy as a disease affecting neural networks: a neurophysiological perspective.

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.

Epilepsy as a disease affecting neural networks: A neurophysiological perspective. / Epilepsia como una enfermedad de redes neuronales. Un punto de vista neurofisiológico.

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.