mne.datasets.fetch_fsaverage#
- mne.datasets.fetch_fsaverage(subjects_dir=None, *, verbose=None)[source]#
Fetch and update fsaverage.
- Parameters
- subjects_dir
str
|None
The path to use as the subjects directory in the MNE-Python config file. None will use the existing config variable (i.e., will not change anything), and if it does not exist, will use
~/mne_data/MNE-fsaverage-data
.- verbosebool |
str
|int
|None
Control verbosity of the logging output. If
None
, use the default verbosity level. See the logging documentation andmne.verbose()
for details. Should only be passed as a keyword argument.
- subjects_dir
- Returns
- fs_dir
str
The fsaverage directory. (essentially
subjects_dir + '/fsaverage'
).
- fs_dir
Notes
This function is designed to provide
All modern (Freesurfer 6) fsaverage subject files
All MNE fsaverage parcellations
fsaverage head surface, fiducials, head<->MRI trans, 1- and 3-layer BEMs (and surfaces)
This function will compare the contents of
subjects_dir/fsaverage
to the ones provided in the remote zip file. If any are missing, the zip file is downloaded and files are updated. No files will be overwritten.New in version 0.18.
Examples using mne.datasets.fetch_fsaverage
#
Importing data from fNIRS devices
EEG forward operator with a template MRI
Source reconstruction using an LCMV beamformer
Locating intracranial electrode contacts
Plotting sensor layouts of EEG systems
Morph volumetric source estimate