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.

nilearn.datasets.fetch_atlas_surf_destrieux#

nilearn.datasets.fetch_atlas_surf_destrieux(data_dir=None, url=None, resume=True, verbose=1)[source]#

Download and load Destrieux et al, 2010 cortical Deterministic atlas.

See [1].

This atlas returns 76 labels per hemisphere based on sulco-gryal patterns as distributed with Freesurfer in fsaverage5 surface space.

New in version 0.3.

Parameters:
data_dirpathlib.Path or str, optional

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

urlstr, optional

URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data). Default=None.

resumebool, optional

Whether to resume download of a partly-downloaded file. Default=True.

verboseint, optional

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

Returns:
datasklearn.utils.Bunch

Dictionary-like object, contains:

  • ‘labels’: list of str, list containing the 76 region labels.

  • ‘map_left’: numpy.ndarray of int, maps each vertex on the left hemisphere of the fsaverage5 surface to its index into the list of label name.

  • ‘map_right’: numpy.ndarray of int, maps each vertex on the right hemisphere of the fsaverage5 surface to its index into the list of label name.

  • ‘description’: str, description of the dataset.

References

Examples using nilearn.datasets.fetch_atlas_surf_destrieux#

Seed-based connectivity on the surface

Seed-based connectivity on the surface

Seed-based connectivity on the surface
Loading and plotting of a cortical surface atlas

Loading and plotting of a cortical surface atlas

Loading and plotting of a cortical surface atlas
Making a surface plot of a 3D statistical map

Making a surface plot of a 3D statistical map

Making a surface plot of a 3D statistical map