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.

7.2.6. nilearn.datasets.fetch_coords_seitzman_2018

nilearn.datasets.fetch_coords_seitzman_2018(ordered_regions=True)

Load the Seitzman et al. 300 ROIs. These ROIs cover cortical, subcortical and cerebellar regions and are assigned to one of 13 networks (Auditory, CinguloOpercular, DefaultMode, DorsalAttention, FrontoParietal, MedialTemporalLobe, ParietoMedial, Reward, Salience, SomatomotorDorsal, SomatomotorLateral, VentralAttention, Visual) and have a regional label (cortexL, cortexR, cerebellum, thalamus, hippocampus, basalGanglia, amygdala, cortexMid).

New in version 0.5.1.

Parameters
ordered_regionsbool, optional

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

Returns
data: sklearn.datasets.base.Bunch

dictionary-like object, contains: - “rois”: Coordinates of 300 ROIs in MNI space - “radius”: Radius of each ROI in mm - “networks”: Network names - “regions”: Region names

References

Seitzman, B. A., Gratton, C., Marek, S., Raut, R. V., Dosenbach, N. U., Schlaggar, B. L., et al. (2018). A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum. bioRxiv, 450452. http://doi.org/10.1101/450452