How to use altases unavailable in MNE to segment ROI?

I am a student new to EEG, and I have completed source localization with a template MRI(EEG forward operator with a template MRI) and got the source spaces(src) and source estimate(stc).

  • My question is how to segment ROI, such as using an atlas(AAL2, Schaefer2018, etc) that is not available in fsaverage/label ?

After using mne.read_labels_from_annot(), mne.extract_label_time_course() I will get a single stc in every ROI if the atlas is available in fsaverage/label. As far as I know Nilearn have abundant atlases. Can I use the Nilearn atlases to label vertexes(dipole?) in src so that I can get a single stc in ROI based on AAL2.