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.

8.2.14. nilearn.datasets.fetch_atlas_pauli_2017

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

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

See 1 and 2.

Parameters
versionstr {‘prob’, ‘det’}, optional

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

data_dirpathlib.Path or str, optional

Path where data should be downloaded. By default, files are downloaded in home directory.

verboseint, optional

Verbosity level (0 means no message). Default=1.

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

1

Pauli et al. (2017) atlas. https://osf.io/r2hvk/. Accessed: 2021-05-19.

2

Wolfgang M. Pauli, Amanda N. Nili, and J. Michael Tyszka. A high-resolution probabilistic in vivo atlas of human subcortical brain nuclei. Scientific Data, 5(1):180063, Apr 2018. URL: https://doi.org/10.1038/sdata.2018.63, doi:10.1038/sdata.2018.63.

8.2.14.1. Examples using nilearn.datasets.fetch_atlas_pauli_2017