Epilepsy is a common and serious neurological disorder, with many different constituent conditions characterized by their electro clinical, imaging, and genetic features. MRI has been fundamental in advancing our understanding of brain processes in the epilepsies. Smaller-scale studies have identified many interesting imaging phenomena, with implications both for understanding pathophysiology and improving clinical care. Through the infrastructure and concepts now well-established by the ENIGMA Consortium, ENIGMA-Epilepsy was established to strengthen epilepsy neuroscience by greatly increasing sample sizes, leveraging ideas and methods established in other ENIGMA projects, and generating a body of collaborating scientists and clinicians to drive forward robust research. Here we review published, current, and future projects, that include structural MRI, diffusion tensor imaging (DTI), and resting state functional MRI (rsfMRI), and that employ advanced methods including structural covariance, and event-based modeling analysis. We explore age of onset- and duration-related features, as well as phenomena-specific work focusing on particular epilepsy syndromes or phenotypes, multimodal analyses focused on understanding the biology of disease progression, and deep learning approaches. We encourage groups who may be interested in participating to make contact to further grow and develop ENIGMA-Epilepsy.

中文翻译：

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ENIGMA-癫痫工作组：从大数据集中绘制疾病图谱


癫痫是一种常见且严重的神经系统疾病，具有许多不同的组成病症，其特征在于其电临床、影像学和遗传特征。 MRI 对于增进我们对癫痫大脑过程的理解至关重要。小规模的研究已经发现了许多有趣的成像现象，对理解病理生理学和改善临床护理都有影响。通过 ENIGMA 联盟现已完善的基础设施和概念，ENIGMA-Epilepsy 的建立是为了通过大幅增加样本量、利用其他 ENIGMA 项目中建立的想法和方法以及建立一批合作科学家和临床医生来推动癫痫神经科学的发展。推进稳健的研究。在这里，我们回顾已发表的、当前和未来的项目，包括结构 MRI、扩散张量成像 (DTI) 和静息态功能 MRI (rsfMRI)，并采用结构协方差和基于事件的建模分析等先进方法。我们探索与发病年龄和持续时间相关的特征，以及专注于特定癫痫综合征或表型的特定现象工作、专注于了解疾病进展生物学的多模式分析以及深度学习方法。我们鼓励有兴趣参与的团体进行联系，以进一步发展和发展 ENIGMA-Epilepsy。