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ENIGMA-癫痫工作组:从大型数据集中绘制疾病图谱。

The ENIGMA-Epilepsy working group: Mapping disease from large data sets.

作者信息

Sisodiya Sanjay M, Whelan Christopher D, Hatton Sean N, Huynh Khoa, Altmann Andre, Ryten Mina, Vezzani Annamaria, Caligiuri Maria Eugenia, Labate Angelo, Gambardella Antonio, Ives-Deliperi Victoria, Meletti Stefano, Munsell Brent C, Bonilha Leonardo, Tondelli Manuela, Rebsamen Michael, Rummel Christian, Vaudano Anna Elisabetta, Wiest Roland, Balachandra Akshara R, Bargalló Núria, Bartolini Emanuele, Bernasconi Andrea, Bernasconi Neda, Bernhardt Boris, Caldairou Benoit, Carr Sarah J A, Cavalleri Gianpiero L, Cendes Fernando, Concha Luis, Desmond Patricia M, Domin Martin, Duncan John S, Focke Niels K, Guerrini Renzo, Hamandi Khalid, Jackson Graeme D, Jahanshad Neda, Kälviäinen Reetta, Keller Simon S, Kochunov Peter, Kowalczyk Magdalena A, Kreilkamp Barbara A K, Kwan Patrick, Lariviere Sara, Lenge Matteo, Lopez Seymour M, Martin Pascal, Mascalchi Mario, Moreira José C V, Morita-Sherman Marcia E, Pardoe Heath R, Pariente Jose C, Raviteja Kotikalapudi, Rocha Cristiane S, Rodríguez-Cruces Raúl, Seeck Margitta, Semmelroch Mira K H G, Sinclair Benjamin, Soltanian-Zadeh Hamid, Stein Dan J, Striano Pasquale, Taylor Peter N, Thomas Rhys H, Thomopoulos Sophia I, Velakoulis Dennis, Vivash Lucy, Weber Bernd, Yasuda Clarissa Lin, Zhang Junsong, Thompson Paul M, McDonald Carrie R

机构信息

Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK.

Chalfont Centre for Epilepsy, Bucks, UK.

出版信息

Hum Brain Mapp. 2020 May 29;43(1):113-28. doi: 10.1002/hbm.25037.

Abstract

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.

摘要

癫痫是一种常见且严重的神经疾病,有许多不同的组成病症,其特征在于电临床、影像学和遗传学特征。磁共振成像(MRI)对于推进我们对癫痫中脑过程的理解至关重要。小规模研究已经识别出许多有趣的成像现象,这对理解病理生理学和改善临床护理均有意义。通过目前由ENIGMA联盟建立完善的基础设施和概念,ENIGMA-癫痫项目得以成立,旨在通过大幅增加样本量、利用其他ENIGMA项目中确立的理念和方法,并汇聚一批合作的科学家和临床医生来推动有力的研究,从而加强癫痫神经科学研究。在此,我们回顾已发表的、当前的和未来的项目,这些项目包括结构MRI、扩散张量成像(DTI)和静息态功能MRI(rsfMRI),并采用了包括结构协方差和基于事件的建模分析在内的先进方法。我们探讨发病年龄和病程相关特征,以及专注于特定癫痫综合征或表型的现象特异性研究、侧重于理解疾病进展生物学的多模态分析和深度学习方法。我们鼓励可能有兴趣参与的团队进行联系,以进一步发展壮大ENIGMA-癫痫项目。

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