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.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
.- 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 in
colors_7
.
- ‘thin_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 in
colors_7
.
- ‘thick_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 in
colors_17
.
- ‘thin_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 in
colors_17
.
- ‘thick_17’:
- ‘colors_7’:
str
Path to colormaps text file for 7 region parcellation. This file maps voxel integer values from
data.thin_7
anddata.tick_7
to network names.
- ‘colors_7’:
- ‘colors_17’:
str
Path to colormaps text file for 17 region parcellation. This file maps voxel integer values from
data.thin_17
anddata.tick_17
to network names.
- ‘colors_17’:
- ‘anat’:
str
Path to nifti file containing the anatomy image.
- ‘anat’:
- ‘description’
str
Description of the dataset.
- ‘description’
- ‘template’
str
The standardized space of analysis in which the atlas results are provided. When known it should be a valid template name taken from the spaces described in the BIDS specification.
- ‘template’
- ‘atlas_type’
str
Type of atlas. See Probabilistic atlas and Deterministic atlas.
- ‘atlas_type’
- data
Notes
License: unknown.
References
Examples using nilearn.datasets.fetch_atlas_yeo_2011
¶
Comparing connectomes on different reference atlases
Breaking an atlas of labels in separated regions