Open AccessThe ENIGMA‐Epilepsy working group: Mapping disease from large data sets
Author(s) -
Sisodiya Sanjay M.,
Whelan Christopher D.,
Hatton Sean N.,
Huynh Khoa,
Altmann Andre,
Ryten Mina,
Vezzani Annamaria,
Caligiuri Maria Eugenia,
Labate Angelo,
Gambardella Antonio,
IvesDeliperi 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.,
MoritaSherman Marcia E.,
Pardoe Heath R.,
Pariente Jose C.,
Raviteja Kotikalapudi,
Rocha Cristiane S.,
RodríguezCruces Raúl,
Seeck Margitta,
Semmelroch Mira K.H.G.,
Sinclair Benjamin,
SoltanianZadeh 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.
Publication year - 2022
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.25037
Subject(s) - epilepsy , diffusion mri , neuroscience , disease , psychology , clinical phenotype , resting state fmri , data science , computer science , cognitive science , medicine , magnetic resonance imaging , phenotype , biology , pathology , genetics , gene , radiology
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.