Note
This page is a reference documentation. It only explains the function signature, and not how to use it. Please refer to the user guide for the big picture.
nilearn.datasets.fetch_surf_fsaverage#
- nilearn.datasets.fetch_surf_fsaverage(mesh='fsaverage5', data_dir=None)[source]#
Download a Freesurfer fsaverage surface.
File names are subject to change and only attribute names are guaranteed to be stable across nilearn versions. See Fischl et al.[1].
- Parameters:
- meshstr, default=’fsaverage5’
Which mesh to fetch. Should be one of the following values:
“fsaverage3”: the low-resolution fsaverage3 mesh (642 nodes)
“fsaverage4”: the low-resolution fsaverage4 mesh (2562 nodes)
“fsaverage5”: the low-resolution fsaverage5 mesh (10242 nodes)
“fsaverage6”: the medium-resolution fsaverage6 mesh (40962 nodes)
“fsaverage7”: same as “fsaverage”
“fsaverage”: the high-resolution fsaverage mesh (163842 nodes)
Note
The high-resolution fsaverage will result in more computation time and memory usage
- data_dir
pathlib.Path
orstr
, optional Path where data should be downloaded. By default, files are downloaded in a
nilearn_data
folder in the home directory of the user. See alsonilearn.datasets.utils.get_data_dirs
.
- Returns:
- datasklearn.datasets.base.Bunch
- Dictionary-like object, the interest attributes are :
‘area_left’: Gifti file, left hemisphere area data
‘area_right’: Gifti file, right hemisphere area data
‘curv_left’: Gifti file, left hemisphere curvature data
‘curv_right’: Gifti file, right hemisphere curvature data
‘flat_left’: Gifti file, left hemisphere flat surface mesh
‘flat_right’: Gifti file, right hemisphere flat surface mesh
‘pial_left’: Gifti file, left hemisphere pial surface mesh
‘pial_right’: Gifti file, right hemisphere pial surface mesh
‘infl_left’: Gifti file, left hemisphere inflated pial surface mesh
- ‘infl_right’: Gifti file, right hemisphere inflated pial
surface mesh
‘sphere_left’: Gifti file, left hemisphere sphere surface mesh
‘sphere_right’: Gifti file, right hemisphere sphere surface mesh
‘sulc_left’: Gifti file, left hemisphere sulcal depth data
‘sulc_right’: Gifti file, right hemisphere sulcal depth data
‘thick_left’: Gifti file, left hemisphere cortical thickness data
‘thick_right’: Gifti file, right hemisphere cortical thickness data
‘white_left’: Gifti file, left hemisphere white surface mesh
‘white_right’: Gifti file, right hemisphere* white surface mesh
References
Examples using nilearn.datasets.fetch_surf_fsaverage
#
Example of surface-based first-level analysis
Surface-based dataset first and second level analysis of a dataset