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, legacy_format=True)[source]¶
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:
- Returns:
- data
sklearn.utils.Bunch
Dictionary-like object, contains:
‘rois’:
numpy.recarray
, rec array with the coordinates of the 160 ROIs in MNI space. Iflegacy_format
is set toFalse
, this is apandas.DataFrame
.‘labels’:
numpy.ndarray
ofstr
, list of label names for the 160 ROIs.‘networks’:
numpy.ndarray
ofstr
, list of network names for the 160 ROI.‘description’:
str
, description of the dataset.
- data
References
Examples using nilearn.datasets.fetch_coords_dosenbach_2010
¶
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