OHBA Software Library for the Analysis of Electrophysiology Data (osl-ephys)#
This package contains models for analysing electrophysiology data. It builds on top of the widely used MNE-Python package and contains unique analysis tools for M/EEG sensor and source space analysis. Specifically, it contains tools for:
Multi-call MaxFilter processing.
(pre-)processing of M/EEG data using a concise config API.
Batch parallel processing using Dask.
Coregistration and volumetric source reconstruction using FSL.
Quality assurance of M/EEG processing using HTML reports.
Statistical significant testing (using GLM permutation testing).
And much more!
For more information on how to use osl-ephys see the documentation.
This package was developed by the Oxford Centre for Human Brain Activity (OHBA) Methods Group at the University of Oxford. Our group website is here.
If you find this toolbox useful, please cite the following:
Van Es, M.W.J., Gohil, C., Quinn, A.J., Woolrich, M.W. (2024). bioRxiv
Quinn, A.J., Van Es, M.W.J., Gohil, C., & Woolrich, M.W. (2022). OHBA Software Library in Python (OSL) (0.1.1). Zenodo. https://doi.org/10.5281/zenodo.6875060
The package heavily builds on MNE-Python, and for the source recon module, on FSL. Please also cite these packages if you use them:
Gramfort, A., Luessi, M., Larson, E., Engemann, D.A., Strohmeier, D., Brodbeck, C., Goj, R., Jas, M., Brooks, T., Parkkonen, L., Hämäläinen, M.S. (2013). MEG and EEG data analysis with MNE-Python. Frontiers in Neuroscience, 7(267):1–13. doi:10.3389/fnins.2013.00267.
S.M. Smith, M. Jenkinson, M.W. Woolrich, C.F. Beckmann, T.E.J. Behrens, H. Johansen-Berg, P.R. Bannister, M. De Luca, I. Drobnjak, D.E. Flitney, R. Niazy, J. Saunders, J. Vickers, Y. Zhang, N. De Stefano, J.M. Brady, and P.M. Matthews. Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage, 23(S1):208-19, 2004
If you would like to request new features or if you’re confident that you have found a bug, please create a new issue on the GitHub issues page.
