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

Journal article


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, ... Enigma Consortium Epilepsy Working Group. (2022). The ENIGMA-Epilepsy working group : Mapping disease from large data sets. Human Brain Mapping. 43(1), pp. 113-128. https://doi.org/10.1002/hbm.25037
AuthorsSisodiya, 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., Bargallo, 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., Kotikalapudi, Raviteja, 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. and Enigma Consortium Epilepsy Working Group
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.

Keywordscovariance; deep learning; DTI; event-based modeling; gene expression; genetics; imaging; MRI; quantitative; rsfMRI
Year2022
JournalHuman Brain Mapping
Journal citation43 (1), pp. 113-128
PublisherWiley-Blackwell
ISSN1097-0193
Digital Object Identifier (DOI)https://doi.org/10.1002/hbm.25037
PubMed ID32468614
PubMed Central IDPMC8675408
Open accessPublished as ‘gold’ (paid) open access
Research or scholarlyResearch
Page range113-128
FunderNational Health and Medical Research Council (NHMRC)
Publisher's version
License
File Access Level
Open
Output statusPublished
Publication dates
Online29 May 2020
Publication process dates
Accepted03 May 2020
Deposited09 Mar 2022
Grant IDNHMRC/1091593
NHMRC/1081151
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https://acuresearchbank.acu.edu.au/item/8x7ww/the-enigma-epilepsy-working-group-mapping-disease-from-large-data-sets

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