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Lookup NU author(s): Professor Peter TaylorORCiD, Dr Gerard HallORCiD, Dr Jonathan Horsley, Professor Yujiang WangORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2026 The Author(s). Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.Objective: Epileptic seizures are generated in cerebral networks that propagate ictal and interictal activity. The structure of cerebral networks underpinning epileptic activity can be inferred from diffusion-weighted magnetic resonance imaging (DWI). However, publicly available DWI data in individuals with epilepsy are scarce, and processing is technically challenging due to scan-specific artifacts, limiting research progress. Methods: Here, we release raw DWI data from 216 individuals with epilepsy and 98 healthy controls. Subject identifiers align with our previous data release (IDEAS), which includes T1-weighted and FLAIR magnetic resonance imaging, surgical details, and long-term seizure outcomes after surgery. Preprocessing reduced distortions and artifacts, and fully processed data include diffusion metric maps in native and template space. We also provide parcellated structural connectomes using multiple atlases and connectivity measures. Results: To illustrate the utility of these IDEAS II data, we replicated ENIGMA consortium findings, observing widespread reductions of fractional anisotropy, particularly ipsilateral to the area of seizure onset. We further demonstrate localized abnormality, and network connectivity using streamline tractography in a patient who subsequently underwent temporal lobe resection. Significance: This open dataset offers a comprehensive resource to advance research on structural connectivity and surgical outcomes in epilepsy.
Author(s): Taylor PN, Hall G, Horsley J, Wang Y, Vos SB, Winston GP, McEvoy AW, Miserocchi A, de Tisi J, Duncan JS
Publication type: Article
Publication status: Published
Journal: Epilepsia
Year: 2026
Pages: epub ahead of print
Online publication date: 07/03/2026
Acceptance date: 19/02/2026
Date deposited: 23/03/2026
ISSN (print): 0013-9580
ISSN (electronic): 1528-1167
Publisher: John Wiley and Sons Inc
URL: https://doi.org/10.1002/epi.70186
DOI: 10.1002/epi.70186
Data Access Statement: The data that support the findings of this study are openly available in openneuro at https:// openn euro. org/ datas ets/ ds007401, reference number ds007401
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