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7.2.6. nilearn.datasets.fetch_atlas_smith_2009

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7.2.8. nilearn.datasets.fetch_atlas_aal


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.

7.2.7. nilearn.datasets.fetch_atlas_yeo_2011

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

Download and return file names for the Yeo 2011 parcellation.

The provided images are in MNI152 space.


data_dir: string

directory where data should be downloaded and unpacked.

url: string

url of file to download.

resume: bool

whether to resumed download of a partly-downloaded file.

verbose: int

verbosity level (0 means no message).


data: sklearn.datasets.base.Bunch

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.


For more information on this dataset’s structure, see

Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, Roffman JL, Smoller JW, Zollei L., Polimeni JR, Fischl B, Liu H, Buckner RL. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol 106(3):1125-65, 2011.

Licence: unknown.