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_schaefer_2018¶
- nilearn.datasets.fetch_atlas_schaefer_2018(n_rois=400, yeo_networks=7, resolution_mm=1, data_dir=None, base_url=None, resume=True, verbose=1)[source]¶
Download and return file names for the Schaefer 2018 parcellation.
Added in version 0.5.1.
This function returns a Deterministic atlas, and the provided images are in MNI152 space.
For more information on this dataset, see Schaefer 2018 parcellation[1], Schaefer et al.[2], and Thomas Yeo et al.[3].
- Parameters:
- n_rois{100, 200, 300, 400, 500, 600, 700, 800, 900, 1000}, default=400
Number of regions of interest.
- yeo_networks{7, 17}, default=7
ROI annotation according to yeo networks.
- resolution_mm{1, 2}, default=1mm
Spatial resolution of atlas image in mm.
- 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
.- base_url
str
, default=None Base URL of files to download (
None
results in defaultbase_url
).- resume
bool
, default=True Whether to resume download of a partly-downloaded file.
- verbose
int
, default=1 Verbosity level (0 means no message).
- Returns:
- data
sklearn.utils.Bunch
Dictionary-like object, contains:
- ‘maps’:
str
, path to nifti file containing the 3D
Nifti1Image
(its shape is(182, 218, 182)
). The values are consecutive integers between 0 andn_rois
which can be interpreted as indices in the list of labels.
- ‘maps’:
- ‘description’
str
Description of the dataset.
- ‘description’
- ‘lut’
pandas.DataFrame
Act as a look up table (lut) with at least columns ‘index’ and ‘name’. Formatted according to ‘dseg.tsv’ format from BIDS.
- ‘lut’
- ‘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
Release v0.14.3 of the Schaefer 2018 parcellation is used by default. Versions prior to v0.14.3 are known to contain erroneous region label names. For more details, see https://github.com/ThomasYeoLab/CBIG/blob/master/stable_projects/brain_parcellation/Schaefer2018_LocalGlobal/Parcellations/Updates/Update_20190916_README.md
License: MIT.
References