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

ENIGMA Consortium Epilepsy Working Group

doi:10.1002/hbm.25037

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

ENIGMA Consortium Epilepsy Working Group

Research output: Contribution to journal › Review article › peer-review

50 Citations (Scopus)

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.

Original language	English
Pages (from-to)	113-128
Number of pages	16
Journal	Human Brain Mapping
Volume	43
Issue number	1
DOIs	https://doi.org/10.1002/hbm.25037
Publication status	Published - Jan 2022

Keywords

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

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10.1002/hbm.25037

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@article{82ac425889444b9f9dbc971802a14027,

title = "The ENIGMA-Epilepsy working group: Mapping disease from large data sets",

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",

author = "{ENIGMA Consortium Epilepsy Working Group} and Sisodiya, {Sanjay M.} and Whelan, {Christopher D.} and Hatton, {Sean N.} and Khoa Huynh and Andre Altmann and Mina Ryten and Annamaria Vezzani and Caligiuri, {Maria Eugenia} and Angelo Labate and Antonio Gambardella and Victoria Ives-Deliperi and Stefano Meletti and Munsell, {Brent C.} and Leonardo Bonilha and Manuela Tondelli and Michael Rebsamen and Christian Rummel and Vaudano, {Anna Elisabetta} and Roland Wiest and Balachandra, {Akshara R.} and N{\'u}ria Bargall{\'o} and Emanuele Bartolini and Andrea Bernasconi and Neda Bernasconi and Boris Bernhardt and Benoit Caldairou and Carr, {Sarah J.A.} and Cavalleri, {Gianpiero L.} and Fernando Cendes and Luis Concha and Desmond, {Patricia M.} and Martin Domin and Duncan, {John S.} and Focke, {Niels K.} and Renzo Guerrini and Khalid Hamandi and Jackson, {Graeme D.} and Neda Jahanshad and Reetta K{\"a}lvi{\"a}inen and Keller, {Simon S.} and Peter Kochunov and Kowalczyk, {Magdalena A.} and Kreilkamp, {Barbara A.K.} and Patrick Kwan and Sara Lariviere and Matteo Lenge and Lopez, {Seymour M.} and Pascal Martin and Eugenio Abela and Mark Richardson",

note = "Funding Information: National Nature Science Foundation of China, Grant/Award Number: 61772440; Health Research Board; South African Medical Research Council; Monash University; National Health and Medical Research Council, Grant/Award Numbers: 1091593, 1081151, R01 AG059874; R01 MH117601, S10OD023696; R01EB015611; Schweizerischer Nationalfonds zur Forderung der Wissenschaftlichen Forschung (SNF), Grant/Award Numbers: 180365, 163398; Tenure‐track Clinician Scientist Fellowship, Grant/Award Number: MR/N008324/1; NIH; NINDS, Grant/Award Number: 1R21NS107739‐01A1; FAPESP‐BRAINN, Grant/Award Numbers: 403726/2016‐6, 2013/07599‐3, 07559‐3, 2013/07559‐3; Ministry of Health, Grant/Award Number: NET‐2013‐02355313; University of T{\"u}bingen, Grant/Award Numbers: R01 NS065838; R21 NS107739, F1315030; University of Melbourne, Grant/Award Number: MRFF1136427; Epilepsy Research UK, Grant/Award Number: 1085; Medical Research Council, Grant/Award Numbers: MR/S00355X/1; MR/K023152/1, L016311/1; Deutsche Forschungsgemeinschaft (DFG), Grant/Award Number: FO750/5‐1; National Institute for Health Research (NIHR); NIH/NINDS, Grant/Award Number: R01NS110347; FRQS; SickKids Foundation, Grant/Award Number: NI17‐039; NSERC, Grant/Award Number: Discovery‐1304413; CIHR, Grant/Award Numbers: FDN‐154298, MOP‐123520; MOP‐130516, MOP‐57840; ENIGMA Sex Differences Initiative, Grant/Award Number: R01 MH116147; ENIGMA World Aging Center, Grant/Award Number: R56 AG058854; NIH Big Data to Knowledge (BD2K) program, Grant/Award Number: U54 EB020403; UNAM‐DGAPA, Grant/Award Number: IB201712; Mexican Council of Science and Technology, Grant/Award Number: 181508; 232676; 251216; 280283; Swiss National Science Foundation, Grant/Award Number: 180365; S{\~a}o Paulo Research Foundation, Grant/Award Number: 2013/07559‐3; FAPESP; European Regional Development Fund; Science Foundation Ireland, Grant/Award Number: 16/RC/3948; 08/RFP/GEN1538; Department of Health; European Union, Grant/Award Number: 602102 Funding information Funding Information: N. J. and P. M. T. are partially funded by Biogen Inc, for research unrelated to the contents of this manuscript. N. K. F. has received honoraria from Bial, Eisai, Philips/EGI, UCB. M. S. holds shares in Epilog. D. J. S. has received research grants and/or consultancy honoraria from Lundbeck and Sun. C. D. W. is an employee of Biogen Inc. Publisher Copyright: {\textcopyright} 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.",

year = "2022",

month = jan,

doi = "10.1002/hbm.25037",

language = "English",

volume = "43",

pages = "113--128",

journal = "Human Brain Mapping",

issn = "1065-9471",

publisher = "Wiley-Liss Inc.",

number = "1",

}

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 - Abela, Eugenio

AU - Richardson, Mark

N1 - Funding Information: National Nature Science Foundation of China, Grant/Award Number: 61772440; Health Research Board; South African Medical Research Council; Monash University; National Health and Medical Research Council, Grant/Award Numbers: 1091593, 1081151, R01 AG059874; R01 MH117601, S10OD023696; R01EB015611; Schweizerischer Nationalfonds zur Forderung der Wissenschaftlichen Forschung (SNF), Grant/Award Numbers: 180365, 163398; Tenure‐track Clinician Scientist Fellowship, Grant/Award Number: MR/N008324/1; NIH; NINDS, Grant/Award Number: 1R21NS107739‐01A1; FAPESP‐BRAINN, Grant/Award Numbers: 403726/2016‐6, 2013/07599‐3, 07559‐3, 2013/07559‐3; Ministry of Health, Grant/Award Number: NET‐2013‐02355313; University of Tübingen, Grant/Award Numbers: R01 NS065838; R21 NS107739, F1315030; University of Melbourne, Grant/Award Number: MRFF1136427; Epilepsy Research UK, Grant/Award Number: 1085; Medical Research Council, Grant/Award Numbers: MR/S00355X/1; MR/K023152/1, L016311/1; Deutsche Forschungsgemeinschaft (DFG), Grant/Award Number: FO750/5‐1; National Institute for Health Research (NIHR); NIH/NINDS, Grant/Award Number: R01NS110347; FRQS; SickKids Foundation, Grant/Award Number: NI17‐039; NSERC, Grant/Award Number: Discovery‐1304413; CIHR, Grant/Award Numbers: FDN‐154298, MOP‐123520; MOP‐130516, MOP‐57840; ENIGMA Sex Differences Initiative, Grant/Award Number: R01 MH116147; ENIGMA World Aging Center, Grant/Award Number: R56 AG058854; NIH Big Data to Knowledge (BD2K) program, Grant/Award Number: U54 EB020403; UNAM‐DGAPA, Grant/Award Number: IB201712; Mexican Council of Science and Technology, Grant/Award Number: 181508; 232676; 251216; 280283; Swiss National Science Foundation, Grant/Award Number: 180365; São Paulo Research Foundation, Grant/Award Number: 2013/07559‐3; FAPESP; European Regional Development Fund; Science Foundation Ireland, Grant/Award Number: 16/RC/3948; 08/RFP/GEN1538; Department of Health; European Union, Grant/Award Number: 602102 Funding information Funding Information: N. J. and P. M. T. are partially funded by Biogen Inc, for research unrelated to the contents of this manuscript. N. K. F. has received honoraria from Bial, Eisai, Philips/EGI, UCB. M. S. holds shares in Epilog. D. J. S. has received research grants and/or consultancy honoraria from Lundbeck and Sun. C. D. W. is an employee of Biogen Inc. 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 - covariance

KW - deep learning

KW - DTI

KW - event-based modeling

KW - gene expression

KW - genetics

KW - imaging

KW - MRI

KW - quantitative

KW - rsfMRI

UR - http://www.scopus.com/inward/record.url?scp=85085547126&partnerID=8YFLogxK

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 -

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

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Keywords

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