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.
6.1.4. nilearn.datasets.fetch_atlas_msdl¶
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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 Gaël 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. Gaël Varoquaux, R.C. Craddock NeuroImage, 2013.