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Open diffusion magnetic resonance imaging and connectivity data for epilepsy and surgery: The IDEAS II release.

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Title: Open diffusion magnetic resonance imaging and connectivity data for epilepsy and surgery: The IDEAS II release.
Authors: Taylor, Peter N. (AUTHOR), Hall, Gerard (AUTHOR), Horsley, Jonathan (AUTHOR), Wang, Yujiang (AUTHOR), Vos, Sjoerd B. (AUTHOR), Winston, Gavin P. (AUTHOR), McEvoy, Andrew W. (AUTHOR), Miserocchi, Anna (AUTHOR), de Tisi, Jane (AUTHOR), Duncan, John S. (AUTHOR)
Source: Epilepsia (Series 4). Jun2026, Vol. 67 Issue 6, p2912-2923. 12p.
Subjects: Diffusion magnetic resonance imaging, Epilepsy, Anisotropy, Surgical complications, Brain anatomy, Diffusion tensor imaging, Large-scale brain networks, Data release
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of Epilepsia (Series 4) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
FullText Text:
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DbLabel: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Open diffusion magnetic resonance imaging and connectivity data for epilepsy and surgery: The IDEAS II release.
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  Data: <searchLink fieldCode="AR" term="%22Taylor%2C+Peter+N%2E%22">Taylor, Peter N.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hall%2C+Gerard%22">Hall, Gerard</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Horsley%2C+Jonathan%22">Horsley, Jonathan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yujiang%22">Wang, Yujiang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vos%2C+Sjoerd+B%2E%22">Vos, Sjoerd B.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Winston%2C+Gavin+P%2E%22">Winston, Gavin P.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22McEvoy%2C+Andrew+W%2E%22">McEvoy, Andrew W.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Miserocchi%2C+Anna%22">Miserocchi, Anna</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+Tisi%2C+Jane%22">de Tisi, Jane</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Duncan%2C+John+S%2E%22">Duncan, John S.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Epilepsia+%28Series+4%29%22">Epilepsia (Series 4)</searchLink>. Jun2026, Vol. 67 Issue 6, p2912-2923. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Diffusion+magnetic+resonance+imaging%22">Diffusion magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Epilepsy%22">Epilepsy</searchLink><br /><searchLink fieldCode="DE" term="%22Anisotropy%22">Anisotropy</searchLink><br /><searchLink fieldCode="DE" term="%22Surgical+complications%22">Surgical complications</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+anatomy%22">Brain anatomy</searchLink><br /><searchLink fieldCode="DE" term="%22Diffusion+tensor+imaging%22">Diffusion tensor imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Large-scale+brain+networks%22">Large-scale brain networks</searchLink><br /><searchLink fieldCode="DE" term="%22Data+release%22">Data release</searchLink>
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  Label: Abstract
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Epilepsia (Series 4) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=194752821
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        Value: 10.1002/epi.70186
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        Text: English
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              Text: Jun2026
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              Y: 2026
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