解决微观-宏观脱节问题，以解决癫痫网络的核心特征。
Resolving the Micro-Macro Disconnect to Address Core Features of Seizure Networks.
机构信息
Department of Neurosurgery, Stanford University, Stanford, CA, USA.
Department of Neurosurgery, Stanford University, Stanford, CA, USA.
出版信息
Neuron. 2019 Mar 20;101(6):1016-1028. doi: 10.1016/j.neuron.2019.01.043.
Current drug treatments for epilepsy attempt to broadly restrict excitability to mask a symptom, seizures, with little regard for the heterogeneous mechanisms that underlie disease manifestation across individuals. Here, we discuss the need for a more complete view of epilepsy, outlining how key features at the cellular and microcircuit level can significantly impact disease mechanisms that are not captured by the most common methodology to study epilepsy, electroencephalography (EEG). We highlight how major advances in neuroscience tool development now enable multi-scale investigation of fundamental questions to resolve the currently controversial understanding of seizure networks. These findings will provide essential insight into what has emerged as a disconnect between the different levels of investigation and identify new targets and treatment options.
目前针对癫痫的药物治疗方法试图广泛抑制兴奋性以掩盖症状——癫痫发作，但很少考虑到个体之间导致疾病表现的异质性机制。在这里，我们讨论了对癫痫进行更全面了解的必要性，概述了细胞和微电路水平的关键特征如何显著影响最常见的癫痫研究方法——脑电图（EEG）无法捕捉到的疾病机制。我们强调了神经科学工具开发的重大进展如何使多尺度研究基本问题成为可能，以解决目前对癫痫网络有争议的理解。这些发现将为不同研究水平之间脱节的问题提供重要的见解，并确定新的靶点和治疗选择。
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