VEP_workflow_simulatedData
Creators
- 1. Aix Marseille Université, Institut National de la Santé et de la Recherche Médicale, Institut de Neurosciences des Systèmes (INS) UMR1106, Marseille 13005, France
Description
This dataset is used for the paper:
Wang, H. E., Woodman, M., Triebkorn, P., Lemarechal, J.-D., Jha, J., Dollomaja, B., Vattikonda, A. N., Sip, V., Medina Villalon, S., Hashemi, M., Guye, M., Makhalova, J., Bartolomei, F., & Jirsa, V. (2023). Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy. Science Translational Medicine, 15(680). https://doi.org/10.1126/scitranslmed.abp8982
Code to read and process this dataset: https://zenodo.org/record/7573382#.Y9PN9C8w3RI
It includes both anatomical and simulated data for one example patient. The anatomical data includes the personalized brain surface meshes, gain matrix from SEEG electrodes and source brain regions, and global structural connectivity matrices. The functional data includes the neural field simulation on both vertices and SEEG sensors. The datasets are used in BIDS format. The codes to read and use this dataset are available in https://github.com/HuifangWang/VEP_INS_workflow.
Notes
Files
VEP_open_data.zip
Files
(74.6 MB)
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Additional details
References
- Wang, H. E., Woodman, M., Triebkorn, P., Lemarechal, J.-D., Jha, J., Dollomaja, B., Vattikonda, A. N., Sip, V., Medina Villalon, S., Hashemi, M., Guye, M., Makhalova, J., Bartolomei, F., & Jirsa, V. (2023). Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy. Science Translational Medicine, 15(680). https://doi.org/10.1126/scitranslmed.abp8982