netneurotools.datasets.fetch_schaefer2018

netneurotools.datasets.fetch_schaefer2018(version='fsaverage', data_dir=None, url=None, resume=True, verbose=1)[source]

Download FreeSurfer .annot files for Schaefer et al., 2018 parcellation.

Parameters:

  • version ({'fsaverage', 'fsaverage5', 'fsaverage6', 'fslr32k'}) – Specifies which surface annotation files should be matched to. Default: ‘fsaverage’

  • data_dir (str, optional) – Path to use as data directory. If not specified, will check for environmental variable ‘NNT_DATA’; if that is not set, will use ~/nnt-data instead. Default: None

  • url (str, optional) – URL from which to download data. Default: None

  • resume (bool, optional) – Whether to attempt to resume partial download, if possible. Default: True

  • verbose (int, optional) – Modifies verbosity of download, where higher numbers mean more updates. Default: 1

Returns:

filenames – Dictionary-like object with keys of format ‘{}Parcels{}Networks’ where corresponding values are the left/right hemisphere annotation files

Return type:

sklearn.utils.Bunch

References

Schaefer, A., Kong, R., Gordon, E. M., Laumann, T. O., Zuo, X. N., Holmes, A. J., … & Yeo, B. T. (2017). Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI. Cerebral Cortex, 28(9), 3095-3114.

Notes

License: https://github.com/ThomasYeoLab/CBIG/blob/master/LICENSE.md