TY - JOUR
T1 - The ENIGMA-Epilepsy working group
T2 - Mapping disease from large data sets
AU - ENIGMA Consortium Epilepsy Working Group
AU - Sisodiya, Sanjay M.
AU - Whelan, Christopher D.
AU - Hatton, Sean N.
AU - Huynh, Khoa
AU - Altmann, Andre
AU - Ryten, Mina
AU - Vezzani, Annamaria
AU - Caligiuri, Maria Eugenia
AU - Labate, Angelo
AU - Gambardella, Antonio
AU - Ives-Deliperi, Victoria
AU - Meletti, Stefano
AU - Munsell, Brent C.
AU - Bonilha, Leonardo
AU - Tondelli, Manuela
AU - Rebsamen, Michael
AU - Rummel, Christian
AU - Vaudano, Anna Elisabetta
AU - Wiest, Roland
AU - Balachandra, Akshara R.
AU - Bargalló, Núria
AU - Bartolini, Emanuele
AU - Bernasconi, Andrea
AU - Bernasconi, Neda
AU - Bernhardt, Boris
AU - Caldairou, Benoit
AU - Carr, Sarah J.A.
AU - Cavalleri, Gianpiero L.
AU - Cendes, Fernando
AU - Concha, Luis
AU - Desmond, Patricia M.
AU - Domin, Martin
AU - Duncan, John S.
AU - Focke, Niels K.
AU - Guerrini, Renzo
AU - Hamandi, Khalid
AU - Jackson, Graeme D.
AU - Jahanshad, Neda
AU - Kälviäinen, Reetta
AU - Keller, Simon S.
AU - Kochunov, Peter
AU - Kowalczyk, Magdalena A.
AU - Kreilkamp, Barbara A.K.
AU - Kwan, Patrick
AU - Lariviere, Sara
AU - Lenge, Matteo
AU - Lopez, Seymour M.
AU - Martin, Pascal
AU - Mascalchi, Mario
AU - Stein, Dan J.
N1 - Publisher Copyright:
© 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
PY - 2022/1
Y1 - 2022/1
N2 - 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.
AB - 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.
KW - DTI
KW - MRI
KW - covariance
KW - deep learning
KW - event-based modeling
KW - gene expression
KW - genetics
KW - imaging
KW - quantitative
KW - rsfMRI
UR - https://www.scopus.com/pages/publications/85085547126
U2 - 10.1002/hbm.25037
DO - 10.1002/hbm.25037
M3 - Review article
C2 - 32468614
AN - SCOPUS:85085547126
SN - 1065-9471
VL - 43
SP - 113
EP - 128
JO - Human Brain Mapping
JF - Human Brain Mapping
IS - 1
ER -