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_craddock_2012#

nilearn.datasets.fetch_atlas_craddock_2012(data_dir=None, url=None, resume=True, verbose=1)[source]#

Download and return file names for the Craddock 2012 parcellation.

This function returns a probabilistic atlas. The provided images are in MNI152 space. All images are 4D with shapes equal to (47, 56, 46, 43).

See 1 for the licence.

See 2 and 3 for more information on this parcellation.

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:

  • ‘scorr_mean’: obj:str, path to nifti file containing the group-mean parcellation when emphasizing spatial homogeneity.

  • ‘tcorr_mean’: obj:str, path to nifti file containing the group-mean parcellation when emphasizing temporal homogeneity.

  • ‘scorr_2level’: obj:str, path to nifti file containing the parcellation obtained when emphasizing spatial homogeneity.

  • ‘tcorr_2level’: obj:str, path to nifti file containing the parcellation obtained when emphasizing temporal homogeneity.

  • ‘random’: obj:str, path to nifti file containing the parcellation obtained with random clustering.

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

References

1

Licence: creative commons attribution non-commercial share alike. http://creativecommons.org/licenses/by-nc-sa/2.5/. Accessed: 2021-05-11.

2

R. Cameron Craddock, G.Andrew James, Paul E. Holtzheimer III, Xiaoping P. Hu, and Helen S. Mayberg. A whole brain fmri atlas generated via spatially constrained spectral clustering. Human Brain Mapping, 33(8):1914–1928, 2012. URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.21333, arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.21333, doi:https://doi.org/10.1002/hbm.21333.

3

Spatially constrained parcellation. http://www.nitrc.org/projects/cluster_roi/. Accessed: 2021-05-11.