Published January 4, 2022 | Version v1.0
Dataset Open

VEP_workflow_simulatedData

  • 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

This work is funded through the European Union's Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3) and the French National Research Agency (ANR) as part of the second "Investissements d'Avenir" program (ANR-17-RHUS-0004, EPINOV).

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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