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Review
. 2020 May 29;43(1):113-128.
doi: 10.1002/hbm.25037. Online ahead of print.

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

Sanjay M Sisodiya  1   2 Christopher D Whelan  3 Sean N Hatton  4 Khoa Huynh  4 Andre Altmann  5 Mina Ryten  6 Annamaria Vezzani  7 Maria Eugenia Caligiuri  8 Angelo Labate  8   9 Antonio Gambardella  8   9 Victoria Ives-Deliperi  10 Stefano Meletti  11   12 Brent C Munsell  13   14 Leonardo Bonilha  15 Manuela Tondelli  12 Michael Rebsamen  16 Christian Rummel  16 Anna Elisabetta Vaudano  11   12 Roland Wiest  16 Akshara R Balachandra  4   17 Núria Bargalló  18   19 Emanuele Bartolini  20 Andrea Bernasconi  21 Neda Bernasconi  21 Boris Bernhardt  22 Benoit Caldairou  21 Sarah J A Carr  23 Gianpiero L Cavalleri  24   25 Fernando Cendes  26 Luis Concha  27 Patricia M Desmond  28 Martin Domin  29 John S Duncan  1   2 Niels K Focke  30 Renzo Guerrini  31 Khalid Hamandi  32   33 Graeme D Jackson  34   35 Neda Jahanshad  36 Reetta Kälviäinen  37   38 Simon S Keller  39   40 Peter Kochunov  41 Magdalena A Kowalczyk  35 Barbara A K Kreilkamp  39   40 Patrick Kwan  42 Sara Lariviere  22 Matteo Lenge  31   43 Seymour M Lopez  5 Pascal Martin  44 Mario Mascalchi  45 José C V Moreira  26 Marcia E Morita-Sherman  26   46 Heath R Pardoe  47 Jose C Pariente  18 Kotikalapudi Raviteja  44   48   49 Cristiane S Rocha  26 Raúl Rodríguez-Cruces  27   50 Margitta Seeck  51 Mira K H G Semmelroch  35   52 Benjamin Sinclair  53   54 Hamid Soltanian-Zadeh  55   56 Dan J Stein  57 Pasquale Striano  58   59 Peter N Taylor  60 Rhys H Thomas  61 Sophia I Thomopoulos  36 Dennis Velakoulis  62   63 Lucy Vivash  53   64 Bernd Weber  65 Clarissa Lin Yasuda  26 Junsong Zhang  66 Paul M Thompson  36 Carrie R McDonald  67 ENIGMA Consortium Epilepsy Working Group
Affiliations
Review

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

Sanjay M Sisodiya et al. Hum Brain Mapp. .

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

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Figures

FIGURE 1
FIGURE 1
Organizational diagram of ENIGMA‐Epilepsy. The flowchart on the left shows the group set up, illustrating source of data used in subsequent studies. The current workflow is illustrated on the right. ILAE, International League Against Epilepsy; MOU, Memorandum of Understanding
FIGURE 2
FIGURE 2
An illustration of results from the first ENIGMA‐Epilepsy study, of brain structural changes in epilepsy using quantitative structural MRI. Cohen's d effect size estimates for case–control differences in cortical thickness, across the (a) all‐epilepsies, (b) mesial temporal lobe epilepsies with left hippocampal sclerosis (c) mesial temporal lobe epilepsies with right hippocampal sclerosis, (d) idiopathic generalized epilepsies, and (e) all‐other‐epilepsies groups. Cohen's d effect sizes were extracted using multiple linear regressions, and pooled across research centers using random‐effects meta‐analysis. Cortical structures with p‐values <1.49 × 10−4 are shown in heatmap colors; strength of heat map is determined by the size of the Cohen's d (d < 0 = blue, d > 0 = yellow/red). HS, hippocampal sclerosis. From Whelan et al.,
FIGURE 3
FIGURE 3
White matter abnormalities across different epilepsy syndromes in adults. Top: FA and MD across all patients with epilepsy. BCC, body of corpus callosum, GCC, genu of corpus callosum; SCC, splenium of corpus callosum; ACR, anterior corona radiata; ALIC, anterior limb of internal capsule; CGC, cingulum (cingulate gyrus); CGH, cingulum (hippocampal); CST, corticospinal tract; EC, external capsule; FX.ST, fornix (stria terminalis); PCR, posterior corona radiata; PLIC, posterior limb of internal capsule; PTR, posterior thalamic radiation; RLIC, rentrolenticular part of internal capsule; SCR, superior corona radiata; SFO, superior fronto‐occipital fasciculus; SLF, superior longitudinal fasciculus; SS, sagittal stratum; TAP, tapetum; UNC, uncinate. Bottom: Radar plots of FA (left) and MD (right) across epilepsy syndromes
FIGURE 4
FIGURE 4
Gene expression and brain maps. The study strategy leading to implication of microglia in cortical thinning. eQTL, expression quantitative trait loci; ILAE, International League against Epilepsy; EpiPGX, Epilepsy Pharmacogenomics: delivering biomarkers for clinical use project, www.epipgx.eu; LD, linkage disequilibrium; LPS, lipopolysaccharide

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