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=None, resting=True)[source]#

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

See [1] and [2].

Parameters:

data_dirpathlib.Path or str, optional: Path where data should be downloaded. By default, files are downloaded in home directory.
urlstr, optional: URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data). Default=None.
resumebool, optional: Whether to resume download of a partly-downloaded file. Default=True.
verboseint, optional: Verbosity level (0 means no message). Default=1.
mirrorstr, optional: 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. Default=’origin’.
dimension: :obj:`int`, optional: Number of dimensions in the dictionary. Valid resolutions available are {10, 20, 70}.
resting: :obj:`bool`, optional: Either to fetch the resting-fMRI or BrainMap components Default=True.

Returns:

datasklearn.utils.Bunch

Dictionary-like object, contains:

‘rsn20’: str, path to nifti file containing the 20-dimensional ICA, resting-fMRI components. The shape of the image is (91, 109, 91, 20).

‘rsn10’: str, path to nifti file containing the 10 well-matched maps from the 20 maps obtained as for ‘rsn20’, as shown in [1]. The shape of the image is (91, 109, 91, 10).

‘bm20’: str, path to nifti file containing the 20-dimensional ICA, BrainMap components. The shape of the image is (91, 109, 91, 20).

‘bm10’: str, path to nifti file containing the 10 well-matched maps from the 20 maps obtained as for ‘bm20’, as shown in [1]. The shape of the image is (91, 109, 91, 10).

‘rsn70’: str, path to nifti file containing the 70-dimensional ICA, resting-fMRI components. The shape of the image is (91, 109, 91, 70).

‘bm70’: str, path to nifti file containing the 70-dimensional ICA, BrainMap components. The shape of the image is (91, 109, 91, 70).

‘description’: str, description of the atlas.

Warns:

FutureWarning: If a dimension input is provided, the current behavior (returning multiple maps) is deprecated. Starting in version 0.13, one map will be returned depending on the dimension value.

Notes

For more information about this dataset’s structure: http://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`#