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].
New 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_dir
pathlib.Path
orstr
, 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 alsonilearn.datasets.utils.get_data_dirs
.- verbose
int
, default=1 Verbosity level (0 means no message).
- Returns:
- data
sklearn.utils.Bunch
Dictionary-like object, contains:
‘maps’: 3D
Nifti1Image
, 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
ofstr
. List of region names. The list starts with ‘Background’ (region ID 0 in the image).‘description’:
str
, a short description of the atlas and some references.
- data
References