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_talairach

nilearn.datasets.fetch_atlas_talairach(level_name, data_dir=None, verbose=1)[source]

Download the Talairach Deterministic atlas.

For more information, see Talairach Atlas Labels[1], Lancaster et al.[2], and Lancaster et al.[3].

Added in version 0.4.0.

Parameters:
level_name{‘hemisphere’, ‘lobe’, ‘gyrus’, ‘tissue’, ‘ba’}

Which level of the atlas to use: the hemisphere, the lobe, the gyrus, the tissue type or the Brodmann area.

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.

verboseint, default=1

Verbosity level (0 means no message).

Returns:
datasklearn.utils.Bunch

Dictionary-like object, contains:

  • ‘maps’: 3D Nifti1Image

    The image has shape (141, 172, 110) and contains consecutive integer values from 0 to the number of regions, which are indices in the list of labels.

  • ‘labels’list of str

    List of the names of the regions.

    The list starts with ‘Background’ (region ID 0 in the image).

  • ‘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