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

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

Research output: Contribution to journalReview ArticleResearchpeer-review

42 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)113-128
Number of pages16
JournalHuman Brain Mapping
Issue number1
Publication statusPublished - Jan 2022


  • covariance
  • deep learning
  • DTI
  • event-based modeling
  • gene expression
  • genetics
  • imaging
  • MRI
  • quantitative
  • rsfMRI

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