Neurologia · 2022
Epilepsy as a disease affecting neural networks: a neurophysiological perspective.
СтатьяОбзорНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
San-Juan D, Rodríguez-Méndez D A
Аннотация
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.
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.