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_smith_2009¶

nilearn.datasets.fetch_atlas_smith_2009(data_dir=None, url=None, resume=True, verbose=1, mirror='origin', dimension=10, resting=True)[source]¶

Download and load the Smith ICA and BrainMap Probabilistic atlas (2009).

See Smith et al.[1] and Laird et al.[2].

Parameters:

data_dirpathlib.Path or str or None, 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 also nilearn.datasets.utils.get_data_dirs.
urlstr or None, default=None: URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data).
resumebool, default=True: Whether to resume download of a partly-downloaded file.
verboseint, default=1: Verbosity level (0 means no message).
mirrorstr, default=’origin’: By default, the dataset is downloaded from the original website of the atlas. Specifying “nitrc” will force download from a mirror, with potentially higher bandwidth.
dimensionint, default=None: Number of dimensions in the dictionary. Valid dimension available are {10, 20, 70}.
restingbool, default=True: Either to fetch the resting-fMRI or BrainMap components

Returns:

datasklearn.utils.Bunch

Dictionary-like object, contains:

maps: str
Path to nifti file containing the requested resting fMRI or or BrainMap components image with the number of requested dimenensions. The shape of the image is (91, 109, 91, dimension).
‘description’str
Description of the dataset.
‘atlas_type’str
Type of atlas. See Probabilistic atlas and Deterministic atlas.
‘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.

Notes

For more information about this dataset’s structure: https://www.fmrib.ox.ac.uk/datasets/brainmap+rsns/

References

Examples using `nilearn.datasets.fetch_atlas_smith_2009`¶

3D and 4D niimgs: handling and visualizing

Visualizing 4D probabilistic atlas maps

Regions Extraction of Default Mode Networks using Smith Atlas

nilearn.datasets.fetch_atlas_smith_2009¶

Examples using nilearn.datasets.fetch_atlas_smith_2009¶

Examples using `nilearn.datasets.fetch_atlas_smith_2009`¶