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.

8.2.11. nilearn.datasets.fetch_atlas_allen_2011

nilearn.datasets.fetch_atlas_allen_2011(data_dir=None, url=None, resume=True, verbose=1)

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

The provided images are in MNI152 space.

Parameters:

data_dir: str, optional

directory where data should be downloaded and unpacked.

url: str, optional

url of file to download.

resume: bool

whether to resumed download of a partly-downloaded file.

verbose: int

verbosity level (0 means no message).

Returns:

data: sklearn.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

E. Allen, et al, “A baseline for the multivariate comparison of resting state networks,” Frontiers in Systems Neuroscience, vol. 5, p. 12, 2011.

8.2.11.1. Examples using nilearn.datasets.fetch_atlas_allen_2011