Department of Clinical and Experimental Epilepsy, University College London Institute of Neurology London, UK.
Front Syst Neurosci. 2011 Mar 22;5:12. doi: 10.3389/fnsys.2011.00012. eCollection 2011.
This review attempts to place the concept of connectivity from increasingly sophisticated neuroimaging data analysis methodologies within the field of epilepsy research. We introduce the more principled connectivity terminology developed recently in neuroimaging and review some of the key concepts related to the characterization of propagation of epileptic activity using what may be called traditional correlation-based studies based on EEG. We then show how essentially similar methodologies, and more recently models addressing causality, have been used to characterize whole-brain and regional networks using functional MRI data. Following a discussion of our current understanding of the neuronal system aspects of the onset and propagation of epileptic discharges and seizures, we discuss the most advanced and ambitious framework to attempt to fully characterize epileptic networks based on neuroimaging data.
本综述试图将连通性的概念从日益复杂的神经影像学数据分析方法置于癫痫研究领域内。我们介绍了神经影像学中最近发展起来的更具原则性的连通性术语，并回顾了一些关键概念，这些概念涉及使用基于 EEG 的传统相关研究来描述癫痫活动的传播。然后，我们展示了如何使用本质上相似的方法，以及最近解决因果关系的模型，使用功能磁共振成像数据来描述全脑和区域网络。在讨论了我们目前对癫痫发作和癫痫发作的神经元系统方面的理解之后，我们讨论了最先进和最有野心的框架，试图基于神经影像学数据来充分描述癫痫网络。
