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, 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, 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:

DeprecationWarning: If a dimension input is provided, the current behavior (returning multiple maps) is deprecated. Starting in version 0.13, one map will be returned in a ‘maps’ dict key depending on the dimension and resting 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`#