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_destrieux_2009

nilearn.datasets.fetch_atlas_destrieux_2009(lateralized=True, data_dir=None, url=None, resume=True, verbose=1)[source]

Download and load the Destrieux cortical deterministic atlas (dated 2009).

See Fischl et al.[1], and Destrieux et al.[2].

Note

Some labels from the list of labels might not be present in the atlas image, in which case the integer values in the image might not be consecutive.

Parameters:
lateralizedbool, default=True

If True, returns an atlas with distinct regions for right and left hemispheres.

data_dirpathlib.Path or str, optional

Path where data should be downloaded. By default, files are downloaded in a nilearn_data folder in the home directory of the user. See also nilearn.datasets.utils.get_data_dirs.

urlstr, default=None

URL of file to download. Override download URL. Used for test only (or if you setup a mirror of the data).

resumebool, default=True

Whether to resume download of a partly-downloaded file.

verboseint, default=1

Verbosity level (0 means no message).

Returns:
datasklearn.utils.Bunch

Dictionary-like object, contains:

  • ‘maps’: str

    path to nifti file containing the Nifti1Image defining the cortical ROIs, lateralized or not. The image has shape (76, 93, 76), and contains integer values which can be interpreted as the indices in the list of labels.

  • ‘labels’list of str

    List of the names of the regions.

  • ‘description’str

    Description of the dataset.

  • ‘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.

  • ‘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.

  • ‘atlas_type’str

    Type of atlas. See Probabilistic atlas and Deterministic atlas.

References

Examples using nilearn.datasets.fetch_atlas_destrieux_2009

Making a surface plot of a 3D statistical map

Making a surface plot of a 3D statistical map