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_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
- data
sklearn.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.
- data
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.