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_allen_2011#

nilearn.datasets.fetch_atlas_allen_2011(data_dir=None, url=None, resume=True, verbose=1)[source]#

Download and return file names for the Allen and MIALAB ICA Probabilistic atlas (dated 2011).

See [1].

The provided images are in MNI152 space.

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.

Returns:
datasklearn.utils.Bunch

Dictionary-like object, keys are:

  • ‘maps’: str, path to nifti file containing the T-maps of all 75 unthresholded components. The image has shape (53, 63, 46, 75).

  • ‘rsn28’: str, path to nifti file containing the T-maps of 28 RSNs included in [1]. The image has shape (53, 63, 46, 28).

  • ‘networks’: list of list of str, list containing the names for the 28 RSNs.

  • ‘rsn_indices’: list of tuple, each tuple is a (str, list of :int). This maps the network names to the map indices. For example, the map indices for the ‘Visual’ network can be obtained:

    # Should return [46, 64, 67, 48, 39, 59]
dict(data.rsn_indices)["Visual"]

  • ‘comps’: str, path to nifti file containing the aggregate ICA components.

  • ‘description’: str, description of the dataset.

Notes

Licence: unknown

See http://mialab.mrn.org/data/index.html for more information on this dataset.

References

Examples using nilearn.datasets.fetch_atlas_allen_2011#

Visualizing 4D probabilistic atlas maps

Visualizing 4D probabilistic atlas maps