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.
8.2.1. 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
The provided images are in MNI152 space.
See 1 for the licence.
See 2 and 3 for more information on this parcellation.
- Parameters
- data_dirstring, optional
Directory where data should be downloaded and unpacked.
- urlstring, optional
url of file to download.
- resumebool, optional
Whether to resumed download of a partly-downloaded file. Default=True.
- verboseint, optional
Verbosity level (0 means no message). Default=1.
- Returns
- datasklearn.datasets.base.Bunch
Dictionary-like object, keys are: scorr_mean, tcorr_mean, scorr_2level, tcorr_2level, random
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.