Bröhl Timo, Rings Thorsten, Pukropski Jan, von Wrede Randi, Lehnertz Klaus
Department of Epileptology, University of Bonn Medical Centre, Bonn, Germany.
Helmholtz Institute for Radiation and Nuclear Physics, University of Bonn, Bonn, Germany.
Front Netw Physiol. 2024 Jan 16;3:1338864. doi: 10.3389/fnetp.2023.1338864. eCollection 2023.
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.
癫痫现在被认为是一种网络疾病,它在多个空间和时间尺度上影响大脑。从癫痫病灶(癫痫发作起源的离散皮质区域)到广泛的癫痫网络(跨越脑叶和半球)的范式转变,极大地推进了我们对癫痫的理解,并继续影响这种多方面的、具有重大影响的神经系统疾病的研究和临床治疗。然而,癫痫网络并非静止不变,而是随时间演变,这就需要采用新方法进行深入表征。在这篇综述中,我们讨论网络理论的概念基础,并批判性地审视用于评估和表征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。我们阐述了当前的不足之处,并强调了在改善癫痫临床管理方面的潜在发展方向。