subject.lobes {fsbrain}

Load labels representing brain lobes.

Description

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.

Usage

subject.lobes(
  subjects_dir,
  subject_id,
  hemi = "both",
  include_cingulate = TRUE,
  as_annot = FALSE
)

Arguments

subjects_dir

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.

subject_id

string. The subject identifier

hemi

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.

include_cingulate

logical, whether to include the vertices of the cingulate in the lobes

as_annot

return a hemilist of annotations instead of the return value described in the *value* section

Value

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.

See Also

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()