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

Journal: Human brain mapping

Volume: 43

Issue: 1

Year of Publication: 

Affiliated Institutions:  Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, London, UK. Department of Molecular and Cellular Therapeutics, The Royal College of Surgeons in Ireland, Dublin, Ireland. Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California, USA. Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK. UCL Queen Square Institute of Neurology, London, UK. Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy. Neuroscience Research Center, Department of Medical and Surgical Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy. Neuroscience Institute, University of Cape Town, Cape Town, South Africa. Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy. Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, USA. Department of Neurology, Medical University of South Carolina, Charleston, South Carolina, USA. Neurology Unit, OCB Hospital, AOU Modena, Modena, Italy. Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. Magnetic Resonance Image Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain. Neurology Unit, USL Centro Toscana, Nuovo Ospedale Santo Stefano, Prato, Italy. Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada. McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada. Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, London, UK. School of Pharmacy and Biomolecular Sciences, The Royal College of Surgeons in Ireland, Dublin, Ireland. Department of Neurology and Neuroimaging Laboratory, University of Campinas - UNICAMP, Campinas, São Paulo, Brazil. Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, Mexico. Department of Radiology, Royal Melbourne Hospital, University of Melbourne, Melbourne, Victoria, Australia. Functional Imaging Unit, Department of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany. University Medicine Göttingen, Clinical Neurophysiology, Göttingen, Germany. Pediatric Neurology, Neurogenetics and Neurobiology Unit and Laboratories, Children's Hospital A. Meyer-University of Florence, Florence, Italy. The Wales Epilepsy Unit, Department of Neurology, University Hospital of Wales, Cardiff, UK. Department of Neurology, Austin Health, Heidelberg, Victoria, Australia. Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, California, USA. Kuopio University Hospital, Member of EpiCARE ERN, Kuopio, Finland. Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK. Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA. Florey Department of Neuroscience and Mental Health, University of Melbourne, Victoria, Australia. Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia. Department of Neurology and Epileptology, Hertie Institute for Clinical Brain Research, University Hospital Tübingen, Tübingen, Germany. 'Mario Serio' Department of Clinical and Experimental Medical Sciences, University of Florence, Florence, Italy. Department of Neurology, New York University School of Medicine, New York, New York, USA. EEG and Epilepsy Unit, Geneva, Switzerland. Department of Neuroscience, Monash University, Melbourne, Victoria, Australia. Radiology and Research Administration, Henry Ford Health System, Detroit, Michigan, USA. South African Medical Research Council Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience Institute, University of Cape Townon Risk & Resilience in Mental Disorders, Cape Town, South Africa. Pediatric Neurology and Muscular Diseases Unit, IRCCS Istituto 'G. Gaslini', Genova, Italy. School of Computing, Newcastle University, Newcastle upon Tyne, UK. Institute of Translational and Clinical Research, Newcastle University, Newcastle upon Tyne, UK. Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, UK. Institute of Experimental Epileptology and Cognition Research, University of Bonn, Bonn, Germany. Cognitive Science Department, School of Informatics, Xiamen University, Xiamen, China. Department of Psychiatry, University of California San Diego, La Jolla, California, USA.

Abstract summary 

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.

Authors & Co-authors:  Sisodiya Sanjay M SM Whelan Christopher D CD Hatton Sean N SN Huynh Khoa K Altmann Andre A Ryten Mina M Vezzani Annamaria A Caligiuri Maria Eugenia ME Labate Angelo A Gambardella Antonio A Ives-Deliperi Victoria V Meletti Stefano S Munsell Brent C BC Bonilha Leonardo L Tondelli Manuela M Rebsamen Michael M Rummel Christian C Vaudano Anna Elisabetta AE Wiest Roland R Balachandra Akshara R AR Bargalló Núria N Bartolini Emanuele E Bernasconi Andrea A Bernasconi Neda N Bernhardt Boris B Caldairou Benoit B Carr Sarah J A SJA Cavalleri Gianpiero L GL Cendes Fernando F Concha Luis L Desmond Patricia M PM Domin Martin M Duncan John S JS Focke Niels K NK Guerrini Renzo R Hamandi Khalid K Jackson Graeme D GD Jahanshad Neda N Kälviäinen Reetta R Keller Simon S SS Kochunov Peter P Kowalczyk Magdalena A MA Kreilkamp Barbara A K BAK Kwan Patrick P Lariviere Sara S Lenge Matteo M Lopez Seymour M SM Martin Pascal P Mascalchi Mario M Moreira José C V JCV Morita-Sherman Marcia E ME Pardoe Heath R HR Pariente Jose C JC Raviteja Kotikalapudi K Rocha Cristiane S CS Rodríguez-Cruces Raúl R Seeck Margitta M Semmelroch Mira K H G MKHG Sinclair Benjamin B Soltanian-Zadeh Hamid H Stein Dan J DJ Striano Pasquale P Taylor Peter N PN Thomas Rhys H RH Thomopoulos Sophia I SI Velakoulis Dennis D Vivash Lucy L Weber Bernd B Yasuda Clarissa Lin CL Zhang Junsong J Thompson Paul M PM McDonald Carrie R CR

Study Outcome 

Source Link: Visit source

Statistics
Citations :  Alexander‐Bloch, A. , Raznahan, A. , Bullmore, E. , & Giedd, J. (2013). The convergence of maturational change and structural covariance in human cortical networks. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 33(7), 2889–2899. 10.1523/JNEUROSCI.3554-12.2013
Authors :  73
Identifiers
Doi : 10.1002/hbm.25037
SSN : 1097-0193
Study Population
Male,Female
Mesh Terms
Other Terms
DTI;MRI;covariance;deep learning;event-based modeling;gene expression;genetics;imaging;quantitative;rsfMRI
Study Design
Cross Sectional Study
Study Approach
Country of Study
Publication Country
United States