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.

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.

For more information see the dataset description.

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:

• atlas_type: str. Type of atlas. See Probabilistic atlas and Deterministic atlas.

• networks: numpy.ndarray. Names of the corresponding network for each region.

• radius: numpy.ndarray. Radius of each region in mm.

• regions: numpy.ndarray. Names of the regions.

• rois: pandas.DataFrame. Coordinates of the 300 regions in MNI space with x, y, z coordinates.

• template: str. The standardized space of analysis in which the data is provided.

Examples using nilearn.datasets.fetch_coords_dosenbach_2010

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