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.

8.2.10. 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).

For more information on this dataset’s structure, see [1] and [2].

Parameters
versionstring {‘SPM12’, ‘SPM5’, ‘SPM8’}, optional

The version of the AAL atlas. Must be SPM5, SPM8 or SPM12. Default=’SPM12’.

data_dirstring, optional

Directory where data should be downloaded and unpacked.

urlstring, optional

Url of file to download.

resumebool, optional

Whether to resumed download of a partly-downloaded file. Default=True.

verboseint, optional

Verbosity level (0 means no message). Default=1.

Returns
datasklearn.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

Licence: unknown.

References

1

http://www.gin.cnrs.fr/AAL-217?lang=en

2

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