Network-based atrophy modelling in the common epilepsies: a worldwide ENIGMA study
Maria Eugenia Caligiuri,
Simon S Keller,
Niels K Focke,
Felix von Podewills,
Terence J O’Brien,
Patricia M Desmond,
Colin P Doherty,
Gianpiero L Cavalleri,
Graeme D. Jackson,
Rhys H Thomas,
Sarah J. A. Carr,
Mark P Richardson,
Sean N Hatton,
Sjoerd B Vos,
John S Duncan,
Christopher D. Whelan,
Paul M. Thompson,
Sanjay M Sisodiya,
Carrie R McDonald,
Boris C. Bernhardt
Posted 05 May 2020
bioRxiv DOI: 10.1101/2020.05.04.076836
Posted 05 May 2020
Epilepsy is increasingly conceptualized as a network disorder. In this cross-sectional mega-analysis, we integrated neuroimaging and connectome analysis to identify network associations with atrophy patterns in 1,021 adults with epilepsy compared to 1,564 healthy controls from 19 international sites. In temporal lobe epilepsy, areas of atrophy co-localized with highly interconnected cortical hub regions, whereas idiopathic generalized epilepsy showed preferential subcortical hub involvement. These morphological abnormalities were anchored to the connectivity profiles of distinct disease epicenters, pointing to temporo-limbic cortices in temporal lobe epilepsy and fronto-central cortices in idiopathic generalized epilepsy. Indices of progressive atrophy further revealed a strong influence of connectome architecture on disease progression in temporal lobe, but not idiopathic generalized, epilepsy. Our findings were reproduced across individual sites and single patients, and were robust across different analytical methods. Through worldwide collaboration in ENIGMA-Epilepsy, we provided novel insights into the macroscale features that shape the pathophysiology of common epilepsies. ### Competing Interest Statement The authors have declared no competing interest.
- Downloaded 416 times
- Download rankings, all-time:
- Site-wide: 40,245 out of 92,253
- In neuroscience: 6,938 out of 16,420
- Year to date:
- Site-wide: 6,293 out of 92,253
- Since beginning of last month:
- Site-wide: 9,479 out of 92,253
Downloads over time
Distribution of downloads per paper, site-wide
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!