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_seitzman_2018(ordered_regions=True, legacy_format=True)[source]#

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).

See Seitzman et al.[1].

New in version 0.5.1.

ordered_regionsbool, default=True

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

legacy_formatbool, default=True

If set to True, the fetcher will return recarrays. Otherwise, it will return pandas dataframes.


Dictionary-like object, contains: