Open diffusion MRI and connectivity data for epilepsy and surgery: The IDEAS II release
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2026
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866908826178945024 |
|---|---|
| author | Taylor, Peter N. Hall, Gerard Horsley, Jonathan Wang, Yujiang Vos, Sjoerd B. Winston, Gavin P McEvoy, Andrew W Miserocchi, Anna de Tisi, Jane Duncan, John S |
| author_facet | Taylor, Peter N. Hall, Gerard Horsley, Jonathan Wang, Yujiang Vos, Sjoerd B. Winston, Gavin P McEvoy, Andrew W Miserocchi, Anna de Tisi, Jane Duncan, John S |
| contents | 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 MRI (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. 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 MRI, surgical details, and long-term seizure outcomes after surgery. Preprocessing reduced distortions and artifacts, while fully processed data include diffusion metric maps in native and template space. We also provide parcellated structural connectomes using multiple atlases and connectivity measures. To illustrate the utility of this 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 localised abnormality, and network connectivity using streamline tractography in a patient who subsequently underwent temporal lobe resection. This open dataset offers a comprehensive resource to advance research on structural connectivity and surgical outcomes in epilepsy. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_09852 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Open diffusion MRI and connectivity data for epilepsy and surgery: The IDEAS II release Taylor, Peter N. Hall, Gerard Horsley, Jonathan Wang, Yujiang Vos, Sjoerd B. Winston, Gavin P McEvoy, Andrew W Miserocchi, Anna de Tisi, Jane Duncan, John S Neurons and Cognition 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 MRI (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. 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 MRI, surgical details, and long-term seizure outcomes after surgery. Preprocessing reduced distortions and artifacts, while fully processed data include diffusion metric maps in native and template space. We also provide parcellated structural connectomes using multiple atlases and connectivity measures. To illustrate the utility of this 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 localised abnormality, and network connectivity using streamline tractography in a patient who subsequently underwent temporal lobe resection. This open dataset offers a comprehensive resource to advance research on structural connectivity and surgical outcomes in epilepsy. |
| title | Open diffusion MRI and connectivity data for epilepsy and surgery: The IDEAS II release |
| topic | Neurons and Cognition |
| url | https://arxiv.org/abs/2602.09852 |