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(data_dir=None, url=None, resume=True, verbose=1, homogeneity=None, grp_mean=True)#
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  for the licence.
Path where data should be downloaded. By default, files are downloaded in home directory.
URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data).
Whether to resume download of a partly-downloaded file.
Verbosity level (0 means no message).
- homogeneity: :obj:`str`, optional
The choice of the homogeneity (‘spatial’ or ‘temporal’ or ‘random’)
- grp_mean: :obj:`bool`, optional
The choice of the parcellation (with group_mean or without) Default=True.
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.
str, general description of the dataset.
If an homogeneity input is provided, the current behavior (returning multiple maps) is deprecated. Starting in version 0.13, one map will be returned in a ‘maps’ dict key depending on the homogeneity and grp_mean value.