The time-evolving epileptic brain network: concepts, definitions, accomplishments, perspectives

T. Bröhl, T. Rings, Jan Pukropski, R. von Wrede, Klaus Lehnertz
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Abstract

Epilepsy is now considered a network disease that affects the brain across multiple levels of spatial and temporal scales. The paradigm shift from an epileptic focus—a discrete cortical area from which seizures originate—to a widespread epileptic network—spanning lobes and hemispheres—considerably advanced our understanding of epilepsy and continues to influence both research and clinical treatment of this multi-faceted high-impact neurological disorder. The epileptic network, however, is not static but evolves in time which requires novel approaches for an in-depth characterization. In this review, we discuss conceptual basics of network theory and critically examine state-of-the-art recording techniques and analysis tools used to assess and characterize a time-evolving human epileptic brain network. We give an account on current shortcomings and highlight potential developments towards an improved clinical management of epilepsy.
随时间演变的癫痫脑网络:概念、定义、成就和观点
癫痫现在被认为是一种影响大脑多层次空间和时间尺度的网络性疾病。从癫痫病灶--癫痫发作起源的离散皮质区域--到跨越脑叶和半球的广泛癫痫网络,这一范式的转变大大推进了我们对癫痫的理解,并将继续影响这一多方面、影响巨大的神经系统疾病的研究和临床治疗。然而,癫痫网络并不是一成不变的,而是随着时间的推移而不断演变的,这就需要采用新的方法对其进行深入分析。在这篇综述中,我们讨论了网络理论的基本概念,并对用于评估和描述随时间演变的人类癫痫脑网络的最新记录技术和分析工具进行了批判性研究。我们阐述了当前的不足之处,并强调了改善癫痫临床管理的潜在发展方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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