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_coords_dosenbach_2010

nilearn.datasets.fetch_coords_dosenbach_2010(ordered_regions=True)

Load the Dosenbach et al 160 ROIs.

These ROIs cover much of the cerebral cortex and cerebellum and are assigned to 6 networks.

See Dosenbach et al.[1].

Parameters:

ordered_regionsbool, default=True

ROIs from same networks are grouped together and ordered with respect to their names and their locations (anterior to posterior).

Returns:

datasklearn.utils.Bunch

Dictionary-like object, contains:

• ‘rois’: pandas.DataFrame with the coordinates of the 160 ROIs in MNI space.

• ‘labels’list of str

  List of the names of the regions.

• ‘networks’: numpy.ndarray of str, list of network names for the 160 ROI.

• ‘description’str

  Description of the dataset.

References

[1]

Nico U. F. Dosenbach, Binyam Nardos, Alexander L. Cohen, Damien A. Fair, Jonathan D. Power, Jessica A. Church, Steven M. Nelson, Gagan S. Wig, Alecia C. Vogel, Christina N. Lessov-Schlaggar, Kelly Anne Barnes, Joseph W. Dubis, Eric Feczko, Rebecca S. Coalson, John R. Pruett, Deanna M. Barch, Steven E. Petersen, and Bradley L. Schlaggar. Prediction of individual brain maturity using fmri. Science, 329(5997):1358–1361, 2010. doi:10.1126/science.1194144.

Examples using nilearn.datasets.fetch_coords_dosenbach_2010

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