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_atlas_yeo_2011¶
- nilearn.datasets.fetch_atlas_yeo_2011(data_dir=None, url=None, resume=True, verbose=1)[source]¶
Download and return file names for the Yeo 2011 parcellation.
This function retrieves the so-called yeo deterministic atlases. The provided images are in MNI152 space and have shapes equal to
(256, 256, 256, 1). They contain consecutive integers values from 0 (background) to either 7 or 17 depending on the atlas version considered.For more information on this dataset’s structure, see Cortical Parcellation Estimated by Intrinsic Functional Connectivity[1], and Thomas Yeo et al.[2].
- Parameters:
- data_dir
pathlib.Pathorstr, optional Path where data should be downloaded. By default, files are downloaded in a
nilearn_datafolder in the home directory of the user. See alsonilearn.datasets.utils.get_data_dirs.- url
str, default=None URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data).
- resume
bool, default=True Whether to resume download of a partly-downloaded file.
- verbose
int, default=1 Verbosity level (0 means no message).
- data_dir
- Returns:
- data
sklearn.utils.Bunch Dictionary-like object, keys are:
‘thin_7’:
str, path to nifti file containing the 7 regions parcellation fitted to thin template cortex segmentations. The image contains integer values which can be interpreted as the indices incolors_7.‘thick_7’:
str, path to nifti file containing the 7 region parcellation fitted to thick template cortex segmentations. The image contains integer values which can be interpreted as the indices incolors_7.‘thin_17’:
str, path to nifti file containing the 17 region parcellation fitted to thin template cortex segmentations. The image contains integer values which can be interpreted as the indices incolors_17.‘thick_17’:
str, path to nifti file containing the 17 region parcellation fitted to thick template cortex segmentations. The image contains integer values which can be interpreted as the indices incolors_17.‘colors_7’:
str, path to colormaps text file for 7 region parcellation. This file maps voxel integer values fromdata.thin_7anddata.tick_7to network names.‘colors_17’:
str, path to colormaps text file for 17 region parcellation. This file maps voxel integer values fromdata.thin_17anddata.tick_17to network names.‘anat’:
str, path to nifti file containing the anatomy image.‘description’:
str, description of the atlas.
- data
Notes
Licence: unknown.
References
Examples using nilearn.datasets.fetch_atlas_yeo_2011¶
Comparing connectomes on different reference atlases
