netneurotools.datasets.fetch_cammoun2012

netneurotools.datasets.fetch_cammoun2012(version='MNI152NLin2009aSym', force=False, data_dir=None, verbose=1)[source]

Download files for Cammoun et al., 2012 multiscale parcellation.

This dataset contains

If you used this data, please cite 1.

Parameters:

version (str, optional) – Specifies which version of the dataset to download, where ‘MNI152NLin2009aSym’ will return .nii.gz atlas files defined in MNI152 space, ‘fsaverageX’ will return .annot files defined in fsaverageX space (FreeSurfer 6.0.1), ‘fslr32k’ will return .label.gii files in fs_LR_32k HCP space, and ‘gcs’ will return FreeSurfer-style .gcs probabilistic atlas files for generating new, subject-specific parcellations. Default: ‘MNI152NLin2009aSym’

Returns:

filenames – Dictionary-like object with keys [‘scale033’, ‘scale060’, ‘scale125’, ‘scale250’, ‘scale500’], where corresponding values are lists of filepaths to downloaded parcellation files.

Return type:

sklearn.utils.Bunch

Other Parameters:
  • force (bool, optional) – If True, will overwrite existing dataset. Default: False

  • 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

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

Notes

License: https://raw.githubusercontent.com/LTS5/cmp/master/COPYRIGHT

References

Examples using netneurotools.datasets.fetch_cammoun2012

Spatial permutations for significance testing

Spatial permutations for significance testing