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(lateralized=True, data_dir=None, url=None, resume=True, verbose=1, legacy_format=True)[source]

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

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


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.

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).

legacy_formatbool, default=True

If set to True, the fetcher will return recarrays. Otherwise, it will return pandas dataframes.


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’: numpy.recarray, rec array containing the names of the ROIs. If legacy_format is set to False, this is a pandas.DataFrame.

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


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

Making a surface plot of a 3D statistical map

Making a surface plot of a 3D statistical map