VEP_workflow_simulatedData

<p>This dataset&nbsp;is used for the paper:&nbsp;</p> <p>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., &amp; Jirsa, V. (2023). Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy. <em>Science Translational Medicine</em>, <em>15</em>(680). <a href="https://doi.org/10.1126/scitranslmed.abp8982">https://doi.org/10.1126/scitranslmed.abp8982</a></p> <p>Code to read and process this dataset:&nbsp;<a href="http://zenodo.org/record/7573382#.Y9PN9C8w3RI">https://zenodo.org/record/7573382#.Y9PN9C8w3RI</a></p> <p>It includes&nbsp;both anatomical and simulated data for&nbsp;one example patient. The anatomical data includes the personalized&nbsp;brain surface meshes, gain matrix from SEEG electrodes&nbsp;and source brain regions, and global structural&nbsp;connectivity matrices.&nbsp;The functional data includes the neural field simulation on both vertices and SEEG&nbsp;sensors.&nbsp;The datasets are used in BIDS format.&nbsp;The codes to&nbsp;read and use this dataset are&nbsp;available in&nbsp;https://github.com/HuifangWang/VEP_INS_workflow.&nbsp;</p> <p>&nbsp;&nbsp;</p>