Skip to content

Automatically process entire electrophysiological datasets using MNE-Python.

License

Notifications You must be signed in to change notification settings

SkeideLab/mne-bids-pipeline

 
 

Repository files navigation

CircleCI

MNE-BIDS-Pipeline

The MNE-BIDS-Pipeline is a full-flegded processing pipeline for your MEG and EEG data. It operates on data stored according to the Brain Imaging Data Structure (BIDS).

Documentation

Please find the installation and usage instructions at mne.tools/mne-bids-pipeline.

Acknowledgments

The original pipeline for MEG/EEG data processing with MNE python was built jointly by the Cognition and Brain Dynamics Team and the MNE Python Team, based on scripts originally developed for this publication:

M. Jas, E. Larson, D. A. Engemann, J. Leppäkangas, S. Taulu, M. Hämäläinen, A. Gramfort (2018). A reproducible MEG/EEG group study with the MNE software: recommendations, quality assessments, and good practices. Frontiers in neuroscience, 12. https://doi.org/10.3389/fnins.2018.00530

The current iteration is based on BIDS and relies on the extensions to BIDS for EEG and MEG. See the following two references:

Pernet, C. R., Appelhoff, S., Gorgolewski, K. J., Flandin, G., Phillips, C., Delorme, A., Oostenveld, R. (2019). EEG-BIDS, an extension to the brain imaging data structure for electroencephalography. Scientific Data, 6, 103. https://doi.org/10.1038/s41597-019-0104-8

Niso, G., Gorgolewski, K. J., Bock, E., Brooks, T. L., Flandin, G., Gramfort, A., Henson, R. N., Jas, M., Litvak, V., Moreau, J., Oostenveld, R., Schoffelen, J., Tadel, F., Wexler, J., Baillet, S. (2018). MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data, 5, 180110. https://doi.org/10.1038/sdata.2018.110

About

Automatically process entire electrophysiological datasets using MNE-Python.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.1%
  • Shell 0.9%