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.
8.2.9. nilearn.datasets.fetch_atlas_aal¶
nilearn.datasets.fetch_atlas_aal(version='SPM12', data_dir=None, url=None, resume=True, verbose=1)¶Downloads and returns the AAL template for SPM 12.
This atlas is the result of an automated anatomical parcellation of the spatially normalized single-subject high-resolution T1 volume provided by the Montreal Neurological Institute (MNI) (D. L. Collins et al., 1998, Trans. Med. Imag. 17, 463-468, PubMed).
Parameters: version: string, optional
The version of the AAL atlas. Must be SPM5, SPM8 or SPM12. Default is SPM12.
data_dir: string
directory where data should be downloaded and unpacked.
url: string
url of file to download.
resume: bool
whether to resumed download of a partly-downloaded file.
verbose: int
verbosity level (0 means no message).
Returns: data: sklearn.datasets.base.Bunch
dictionary-like object, keys are:
- “maps”: str. path to nifti file containing regions.
- “labels”: list of the names of the regions
Notes
For more information on this dataset’s structure, see http://www.gin.cnrs.fr/AAL-217?lang=en
Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain. N. Tzourio-Mazoyer, B. Landeau, D. Papathanassiou, F. Crivello, O. Etard, N. Delcroix, B. Mazoyer, and M. Joliot. NeuroImage 2002. 15 :273-28
Licence: unknown.