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There are currently many ongoing secondary projects, building upon ENIGMA-Epilepsy's initial investigations of gray matter and white matter microstructure. Each project, and its respective co-leads, is detailed below.

Published projects

Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study, published in Brain 2018
Christopher D. Whelan
University of Southern California, Los Angeles, CA, United States
Sanjay M. Sisodiya and Andre Altmann
University College London, London, UK

White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study, published in Brain 2020
Sean Hatton and Carrie R. McDonald
University of California – San Diego, San Diego, CA, USA

The ENIGMA-Epilepsy working group: Mapping disease from large data sets, published in Human Brain Mapping 2020
Sanjay M. Sisodiya
University College London, London, UK
Carrie R. McDonald
University of California – San Diego, San Diego, CA, USA

Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study, published in Science Advances 2020
Sara Larivière and Boris Bernhardt
McGill University, Montreal, Canada

Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study, published in Neuroimage Clinical 2021
Leonardo Bonilha and Ezequiel Gleichgerrcht
Medical University of South Carolina, Charleston, SC, USA

Genetic analyses of brain-wide phenotypes in epilepsy, published in Neuropathology and applied neurobiology 2021
Sanjay M. Sisodiya and Andre Altmann
University College London, London, UK
Christopher D. Whelan
University of Southern California, Los Angeles, CA, United States

Event-based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross-sectional data, published in Epilepsia 2022
Sanjay M. Sisodiya and Andre Altmann
University College London, London, UK

Structural network alterations in focal and generalized epilepsy follow axes of epilepsy risk gene expression: An ENIGMA study, published in Nature Communications 2022 (in press)
Sara Larivière and Boris Bernhardt
McGill University, Montreal, Canada

Ongoing projects

Structural correlates of drug resistance in epilepsy
Sanjay M. Sisodiya
University College London, London, UK
Christopher D. Whelan
University of Southern California, Los Angeles, CA, United States

Structural correlates of valproic acid assumption in epilepsy
Stefano Meletti
UNIMORE, Modena, Italy

Resting state functional connectivity in patients with TLE
Victoria Ives-Deliperi, Jonathan Ipser and Dan Stein
University of Cape Town, Cape Town, South Africa

Cross-sectional latent profile analysis of neuroanatomical structures within and between common epilepsy syndromes
Dalin T. Pulsipher
University of Rochester Medical Center, Rochester, NY, USA

Event-based modeling in temporal lobe epilepsy demonstrates progressive atrophy and increased asymmetry of brain regions
Andre Altmann
University College London, London, UK

The neuroimaging signature of SUDEP and implications for disease biology
Sanjay Sisodiya
University College London, London, UK

Multimodal disease spectrum learning in the common epilepsies
Boris Bernhardt, Raúl Rodríguez-Cruces and Sara Larivière
McGill University, Montreal, Canada

Structural changes at onset of illness
Michael Rebsamen, Christian Rummel and Roland Wiest
University of Bern, Inselspital, Switzerland

Longitudinal Study
Marian Galovic
University Hospital Zurich, Zurich, Switzerland
John S Duncan and Matthias Koepp
University College London, London, UK

Unsupervised machine learning for epilepsy biotype clustering
Barbara Kreilkamp and Niels Focke
University Medicine Göttingen, Göttingen, Germany

Topological network analysis and graph-based deep learning of multimodal MRI: An ENIGMA-Epilepsy pilot study
Yuan Wang
University of South Carolina, Columbia, SC, USA

Multivariate independent components of abnormality in epilepsy: relation to duration
Peter Taylor and Yujiang Wang
Newcastle University, Newcastle upon Tyne, UK

Examination of cerebellum volumes and the effects of antiepileptic drugs in patients with epilepsy
Ian Harding and Rebecca Kerestes
Monash University, Melbourne, Australia

Epilepsy related abnormality in youths
Boris Bernhardt, Sara Larivière, Judy Chen and Dewi Schrader
McGill University, Montreal, Canada

Deep Learning for Surgical Candidate Selection in Epilepsy
Benjamin Sinclair
Monash University, Melbourne, Australia

Normative deviations in vertex-wise brain asymmetry
Jitse S. Amelink and Clyde Francks (ENIGMA-Laterality)
Max Planck Institute Nijmegen, Nijmegen, Netherlands

Normative modelling using variational autoencoders for biotyping and modelling disease severity
Anna Aguila and Andre Altmann
University College London, London, UK
 
 

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