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 Allen et al.[1].
The provided images are in MNI152 space.
- Parameters:
- data_dir
pathlib.Pathorstr, optional Path where data should be downloaded. By default, files are downloaded in a
nilearn_datafolder in the home directory of the user. See alsonilearn.datasets.utils.get_data_dirs.- url
str, default=None URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data).
- resume
bool, default=True Whether to resume download of a partly-downloaded file.
- verbose
int, default=1 Verbosity level (0 means no message).
- data_dir
- Returns:
- data
sklearn.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 Allen et al.[1]. The image has shape(53, 63, 46, 28).‘networks’:
listoflistofstr, list containing the names for the 28 RSNs.‘rsn_indices’:
listoftuple, each tuple is a (str,listof :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.
- data
Notes
Licence: unknown
See http://mialab.mrn.org/data/index.html for more information on this dataset.
References
