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.
8.2.13. 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 atlas (dated 2011).
See 1.
The provided images are in MNI152 space.
- Parameters
- data_dir
pathlib.Path
orstr
, optional Path where data should be downloaded. By default, files are downloaded in home directory.
- url
str
, optional URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data). Default=None.
- resume
bool
, optional Whether to resume download of a partly-downloaded file. Default=True.
- verbose
int
, optional Verbosity level (0 means no message). Default=1.
- data_dir
- Returns
- datasklearn.datasets.base.Bunch
Dictionary-like object, keys are:
“maps”: T-maps of all 75 unthresholded components.
“rsn28”: T-maps of 28 RSNs included in E. Allen et al.
“networks”: string list containing the names for the 28 RSNs.
“rsn_indices”: dict[rsn_name] -> list of int, indices in the “maps” file of the 28 RSNs.
“comps”: The aggregate ICA Components.
“description”: details about the data release.
Notes
Licence: unknown
See http://mialab.mrn.org/data/index.html for more information on this dataset.
References
- 1
Elena Allen, Erik Erhardt, Eswar Damaraju, William Gruner, Judith Segall, Rogers Silva, Martin Havlicek, Srinivas Rachakonda, Jill Fries, Ravi Kalyanam, Andrew Michael, Arvind Caprihan, Jessica Turner, Tom Eichele, Steven Adelsheim, Angela Bryan, Juan Bustillo, Vincent Clark, Sarah Feldstein Ewing, Francesca Filbey, Corey Ford, Kent Hutchison, Rex Jung, Kent Kiehl, Piyadasa Kodituwakku, Yuko Komesu, Andrew Mayer, Godfrey Pearlson, John Phillips, Joseph Sadek, Michael Stevens, Ursina Teuscher, Robert Thoma, and Vince Calhoun. A baseline for the multivariate comparison of resting-state networks. Frontiers in Systems Neuroscience, 5:2, 2011. URL: https://www.frontiersin.org/article/10.3389/fnsys.2011.00002, doi:10.3389/fnsys.2011.00002.