This is a repository for creating BIDS-compatible datasets with MNE.
We recommend the Anaconda Python
distribution. We require that you use Python 3.
Besides numpy, scipy, and pandas (which are included in the standard
Anaconda installation), you will need to install the most recent version of MNE
using the pip tool:
$ pip install -U mne
Then install mne-bids:
$ pip install -U mne-bids
These pip commands also work if you want to upgrade if a newer version of
mne-bids is available. If you do not have administrator privileges on the
computer, use the --user flag with pip.
To check if everything worked fine, the following command should not give any error messages:
$ python -c 'import mne_bids'
In addition to import mne_bids, you can use the command line interface.
Example:
$ mne_bids raw_to_bids --subject_id sub01 --task rest --raw_file data.edf --output_path new_pathIf you use mne-bids in your work, please cite one of the following papers,
depending on which modality you used:
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.
http://doi.org/10.1038/sdata.2018.110
Pernet, C. R., Appelhoff, S., Flandin, G., Phillips, C., Delorme, A., &
Oostenveld, R. (2018, December 6). BIDS-EEG: an extension to the Brain
Imaging Data Structure (BIDS) Specification for electroencephalography.
https://doi.org/10.31234/osf.io/63a4y
Holdgraf, C., Appelhoff, S., Bickel, S., Bouchard, K., D'Ambrosio, S.,
David, O., … Hermes, D. (2018, December 13). BIDS-iEEG: an extension to the
brain imaging data structure (BIDS) specification for human intracranial
electrophysiology. https://doi.org/10.31234/osf.io/r7vc2