Data from: Noninvasive Electromagnetic Source Imaging of Spatio-temporally Distributed Epileptogenic Brain Sources
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
This database includes the de-identified interictal spike information in 9 focal epilepsy patients who became seizure-free after surgery. All underwent intra-cranial EEG (iEEG) monitoring prior to surgery and information about seizure onset zone (SOZ) based on iEEG study was available in these patients.
This dataset was collected under support from the National Institutes of Health via grants R01NS096761 and R01EB021027, to Dr. Bin He and Dr. Greg Worrell. The human data were collected and deidentified as part of NIH funded research at Mayo Clinic, Rochester, overseen by Dr. Greg Worrell, and processed and organized at Dr. Bin He’s lab at Carnegie Mellon University.
This dataset has been used and analyzed to study
epilepsy networks and the results are reported in: Sohrabpour et al, “Noninvasive Electromagnetic Source Imaging
of Spatio-temporally Distributed Epileptogenic Brain Sources,” Nature
Communications, 2020 (https://doi.org/10.1038/s41467-020-15781-0). Please cite this paper if you use any data
included in this dataset. Codes related to this study are also available from https://github.com/bfinl/FAST-IRES.
Electrophysiological Source Imaging of Partial Epilepsy
National Institute of Neurological Disorders and StrokeFind out more...
Spatio-temporal dynamic imaging of seizure sources
National Institute of Biomedical Imaging and BioengineeringFind out more...
Select an IC:
- NS - National Institute of Neurological Disorders and Stroke (NINDS)
- EB - National Institute of Biomedical Imaging and Bioengineering (NIBIB)