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.

7.2.12. nilearn.datasets.fetch_atlas_pauli_2017

nilearn.datasets.fetch_atlas_pauli_2017(version='prob', data_dir=None, verbose=1)

Download the Pauli et al. (2017) atlas with in total 12 subcortical nodes.

Parameters
version: str, optional (default=’prob’)

Which version of the atlas should be download. This can be ‘prob’ for the probabilistic atlas or ‘det’ for the deterministic atlas.

data_dirstr, optional (default=None)

Path of the data directory. Used to force data storage in a specified location.

verboseint

verbosity level (0 means no message).

Returns
sklearn.datasets.base.Bunch

Dictionary-like object, contains:

  • maps: 3D Nifti image, values are indices in the list of labels.

  • labels: list of strings. Starts with ‘Background’.

  • description: a short description of the atlas and some references.

References

https://osf.io/r2hvk/

Pauli, W. M., Nili, A. N., & Tyszka, J. M. (2018). A high-resolution probabilistic in vivo atlas of human subcortical brain nuclei. Scientific Data, 5, 180063-13. http://doi.org/10.1038/sdata.2018.63`

7.2.12.1. Examples using nilearn.datasets.fetch_atlas_pauli_2017