The software codes and sample data (clinical and simulation) have been developed under support from the National Institutes of Health (NIH) via grants NS096761, EB021027, MH114233, AT009263, and EB029354 awarded to Dr. Bin He.

The sample human data, which is deidentified, were collected as part of the NIH funded research at Mayo Clinic, Rochester, Minnesota, overseen by Dr. Gregory A. Worrell.

See README.txt or README.pdf for more details.

1. Download codes and data.
2. Unzip the data folder from data_zip (also see data/README.md).
3. Download and deploy necessary tooloboxes and functions (also see toolbox/README.md).
4. Add the ROOT folder to Matlab dependency.
5. Run "main_hfoDetection.m" for examples of HFOs identification.
6. Run "main_hfoImaging.m" for examples of HFOs/spike imaging.

If this project or part of the codes or the data, provided here, helps your research or project, please cite the following paper in your publications or presentations.

Z. Cai, A. Sohrabpour, H. Jiang, S. Ye, B. Joseph, B. H. Brinkmann, G. A. Worrell, and B. He, "Noninvasive High-frequency Oscillations Riding Spikes Delineates Epileptogenic Sources." PNAS April 27, 2021 118 (17) e2011130118; https://doi.org/10.1073/pnas.2011130118.

The source codes and testing data are provided as service to the scientific community and may be used for any non-commercial purposes under a CC-BY-NC-SA-4.0 license.

Users should use the codes or data at their own risks.

A copy of the CC-BY-NC-SA-4.0 license is provided along with this program. If not, see https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.