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 Destrieux et al.[1].
This atlas returns 76 labels per hemisphere based on sulco-gryal patterns as distributed with Freesurfer in fsaverage5 surface space.
Added in version 0.3.
- Parameters:
- data_dir
pathlib.Pathorstr, optional Path where data should be downloaded. By default, files are downloaded in a
nilearn_datafolder in the home directory of the user. See alsonilearn.datasets.utils.get_data_dirs.- url
str, default=None URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data).
- resume
bool, default=True Whether to resume download of a partly-downloaded file.
- verbose
int, default=1 Verbosity level (0 means no message).
- data_dir
- Returns:
- data
sklearn.utils.Bunch Dictionary-like object, contains:
- ‘map_left’:
numpy.ndarrayofint Maps each vertex on the left hemisphere of the fsaverage5 surface to its index into the list of label name.
- ‘map_left’:
- ‘map_right’:
numpy.ndarrayofint Maps each vertex on the right hemisphere of the fsaverage5 surface to its index into the list of label name.
- ‘map_right’:
- ‘description’
str Description of the dataset.
- ‘description’
- ‘lut’
pandas.DataFrame Act as a look up table (lut) with at least columns ‘index’ and ‘name’. Formatted according to ‘dseg.tsv’ format from BIDS.
- ‘lut’
- ‘template’
str The standardized space of analysis in which the atlas results are provided. When known it should be a valid template name taken from the spaces described in the BIDS specification.
- ‘template’
- ‘atlas_type’
str Type of atlas. See Probabilistic atlas and Deterministic atlas.
- ‘atlas_type’
- data
References
