Loading...
The ENIGMA-Epilepsy working group : Mapping disease from large data sets
Sisodiya, Sanjay M. Whelan, Christopher D. Hatton, Sean N. Huynh, Khoa Altmann, Andre Ryten, Mina Vezzani, Annamaria Caligiuri, Maria Eugenia Labate, Angelo Gambardella, Antonio
Sisodiya, Sanjay M.
Whelan, Christopher D.
Hatton, Sean N.
Huynh, Khoa
Altmann, Andre
Ryten, Mina
Vezzani, Annamaria
Caligiuri, Maria Eugenia
Labate, Angelo
Gambardella, Antonio
Author
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.
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.
Enigma Consortium Epilepsy Working Group
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.
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.
Keywords
covariance, deep learning, DTI, event-based modeling, gene expression, genetics, imaging, MRI, quantitative, rsfMRI
Date
2022
Type
Journal article
Journal
Human Brain Mapping
Book
Volume
43
Issue
1
Page Range
113-128
Article Number
ACU Department
Collections
Relation URI
Source URL
Event URL
Open Access Status
Published as ‘gold’ (paid) open access
License
CC BY 4.0
File Access
Open