About ENIGMA-Epilepsy  | Secondary Projects | Protocols | Raw Data Analysis: locipipe | Members Page | Join ENIGMA-Epilepsy

ENIGMA-Epilepsy is dedicated to improving our understanding of in vivo neuroanatomical disruptions in people with epilepsy compared to healthy individuals in the general population.

The project was officially launched at The Royal Society, London in March 2015 by Dr. Christopher D. Whelan (USC) and Professor Sanjay Sisodiya (UCL). Epilepsy centers from North America, South America, Europe, Australia, South Africa, and South East Asia have signed up for the effort. The consortium's co-chairs include Professor Sisodiya, and Professor Carrie McDonald (UCSD).

ENIGMA-Epilepsy's first study of grey matter abnormalities across the common epilepsies was published in Brain. A follow-up investigation of white matter abnormalities was recently published, alongside several secondary research projects.

The main objectives of ENIGMA-Epilepsy include:

• To create a worldwide network of epilepsy neuroimaging centers.
• To collect summary statistics on brain shape, brain volume and brain wiring from thousands of people with epilepsy and thousands of neurologically healthy controls.
• To compare and contrast these measures in affected/unaffected groups and, accordingly, illustrate possible differences between the two.
• To identify structural differences between the major forms of epilepsy and major types of seizure.
• To develop collaborations and infrastructure for future analyses.

If your laboratory is interested in contributing towards ENIGMA-Epilepsy, please contact Professor Carrie McDonald (camcdonald@ucsd.edu) and Professor Sanjay Sisodiya (s.sisodiya@ucl.ac.uk).

Further information on ENIGMA-Epilepsy, including full analysis protocols, can be found in the links at the top of this page.
 

Publications

• Gray Matter
  Whelan CD, Altmann A, Botía JA, et al. Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study. Brain. 2018;141(2):391-408. doi:10.1093/brain/awx341

• Diffusion
  Hatton SN, Huynh KH, Bonilha L, et al. White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study. Brain. 2020;143(8):2454-2473. doi:10.1093/brain/awaa200

• Network-Based Atrophy Modeling
  Larivière S, Rodríguez-Cruces R, Royer J, et al. Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study. Sci Adv. 2020;6(47):eabc6457. Published 2020 Nov 18. doi:10.1126/sciadv.abc6457

• An Overview of the First 5 Years of ENIGMA Epilepsy
  Sisodiya SM, Whelan CD, Hatton SN, et al. The ENIGMA-Epilepsy working group: Mapping disease from large data sets [published online ahead of print, 2020 May 29]. Hum Brain Mapp. 2020;10.1002/hbm.25037. doi:10.1002/hbm.25037

• Machine Learning
  Gleichgerrcht E, Munsell BC, Alhusaini S, et al. Artificial intelligence for classification of temporal lobe epilepsy with ROI-level MRI data: A worldwide ENIGMA-Epilepsy study [published online ahead of print, 2021 Jul 24]. Neuroimage Clin. 2021;31:102765. doi:10.1016/j.nicl.2021.102765

• Gene Co-Expression
  Altmann A, Ryten M, Di Nunzio M, et al. A systems-level analysis highlights microglial activation as a modifying factor in common epilepsies [published online ahead of print, 2021 Aug 13]. Neuropathol Appl Neurobiol. 2021;10.1111/nan.12758. doi:10.1111/nan.12758

• ENIGMA Toolbox
  Larivière S, Paquola C, Park BY, et al. The ENIGMA Toolbox: multiscale neural contextualization of multisite neuroimaging datasets. Nat Methods. 2021;18(7):698-700. doi:10.1038/s41592-021-01186-4

• Event-Based Modeling
  Lopez SM, Aksman LM, Oxtoby NP, et al. Event-based modeling in temporal lobe epilepsy demonstrates progressive atrophy from cross-sectional data [published online ahead of print, 2022 Jun 2]. Epilepsia. 2022;10.1111/epi.17316. doi:10.1111/epi.17316

• Structural Networks
  Larivière S, Royer J, Rodríguez-Cruces R et al. Structural network alterations in focal and generalized epilepsy follow axes of epilepsy risk gene expression: An ENIGMA study. Nat Comms (in press).

Preprints

• Gene Co-Expression
  Altmann A, Ryten M, Nunzio M Di, et al. A systems-level analysis highlights microglial activation as a modifying factor in common forms of human epilepsy. bioRxiv. 2018:470518. doi:10.1101/470518

• ENIGMA Toolbox
  Lariviere S, Paquola C, Park B, et al. The ENIGMA Toolbox: Cross-disorder integration and multiscale neural contextualization of multisite neuroimaging datasets. bioRxiv. January 2020:2020.12.21.423838. doi:10.1101/2020.12.21.423838

• Asymmetry
  Park B, Larivière S, Rodríguez-Cruces R, et al. Topographic Divergence of Atypical Cortical Asymmetry and Regional Atrophy Patterns in Temporal Lobe Epilepsy: A Worldwide ENIGMA Study. bioRxiv 2021.04.30.442117; doi: https://doi.org/10.1101/2021.04.30.442117

• Structural Networks
  Larivière S, Royer J, Rodríguez-Cruces R et al. Structural network alterations in focal and generalized epilepsy follow axes of epilepsy risk gene expression: An ENIGMA study. bioRxiv 2021.10.18.464713; doi: https://doi.org/10.1101/2021.10.18.464713