This gives you labels that represent brain lobes for a subject. The lobe definition is based on the Desikan-Killiany atlas (Desikan *et al.*, 2010) as suggested on the FreeSurfer website at https://surfer.nmr.mgh.harvard.edu/fswiki/CorticalParcellation.
subject.lobes(
subjects_dir,
subject_id,
hemi = "both",
include_cingulate = TRUE,
as_annot = FALSE
)string. The FreeSurfer SUBJECTS_DIR, i.e., a directory containing the data for all your subjects, each in a subdir named after the subject identifier.
string. The subject identifier
string, one of 'lh', 'rh', or 'both'. The hemisphere name. Used to construct the names of the surface file to be loaded. For 'both', see the information on the return value.
logical, whether to include the vertices of the cingulate in the lobes
return a hemilist of annotations instead of the return value described in the *value* section
hemilist of integer vectors, the vectors represent vertex indices of the hemispheres, and each vertex is assigned one of the following values: `0`=no_lobe, `1`=frontal, `2`=parietal, `3`=temporal, `4`=occipital.
Other atlas functions:
get.atlas.region.names(),
group.agg.atlas.native(),
group.agg.atlas.standard(),
group.annot(),
group.label.from.annot(),
label.from.annotdata(),
label.to.annot(),
regions.to.ignore(),
spread.values.over.annot(),
spread.values.over.hemi(),
spread.values.over.subject(),
subject.annot(),
subject.atlas.agg(),
subject.label.from.annot()
Other label functions:
apply.label.to.morphdata(),
apply.labeldata.to.morphdata(),
subject.mask(),
vis.labeldata.on.subject(),
vis.subject.label()