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_msdl

nilearn.datasets.fetch_atlas_msdl(data_dir=None, url=None, resume=True, verbose=1)

Download and load the MSDL brain atlas.

Parameters:

data_dir: string, optional :

Path of the data directory. Used to force data storage in a specified location. Default: None

url: string, optional :

Override download URL. Used for test only (or if you setup a mirror of the data).

Returns:

data: sklearn.datasets.base.Bunch :

Dictionary-like object, the interest attributes are : - ‘labels’: str. Path to csv file containing labels. - ‘maps’: str. path to nifti file containing regions definition.

References

Download:https://team.inria.fr/parietal/files/2015/01/MSDL_rois.zip
Paper to cite:Multi-subject dictionary learning to segment an atlas of brain spontaneous activity Gael Varoquaux, Alexandre Gramfort, Fabian Pedregosa, Vincent Michel, Bertrand Thirion. Information Processing in Medical Imaging, 2011, pp. 562-573, Lecture Notes in Computer Science.
Other references:
 Learning and comparing functional connectomes across subjects. Gael Varoquaux, R.C. Craddock NeuroImage, 2013.