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.

8.2.10. nilearn.datasets.fetch_atlas_yeo_2011

nilearn.datasets.fetch_atlas_yeo_2011(data_dir=None, url=None, resume=True, verbose=1)[source]

Download and return file names for the Yeo 2011 parcellation.

The provided images are in MNI152 space.

For more information on this dataset’s structure, see 1, and 2.

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.


Dictionary-like object, keys are:

  • “thin_7”, “thick_7”: 7-region parcellations, fitted to resp. thin and thick template cortex segmentations.

  • “thin_17”, “thick_17”: 17-region parcellations.

  • “colors_7”, “colors_17”: colormaps (text files) for 7- and 17-region parcellation respectively.

  • “anat”: anatomy image.


Licence: unknown.



Cortical parcellation estimated by intrinsic functional connectivity. Accessed: 2021-05-19.


B. T. Thomas Yeo, Fenna M. Krienen, Jorge Sepulcre, Mert R. Sabuncu, Danial Lashkari, Marisa Hollinshead, Joshua L. Roffman, Jordan W. Smoller, Lilla Zöllei, Jonathan R. Polimeni, Bruce Fischl, Hesheng Liu, and Randy L. Buckner. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. Journal of Neurophysiology, 106(3):1125–1165, 2011. PMID: 21653723. URL:, arXiv:, doi:10.1152/jn.00338.2011.