| collayer.bg.atlas {fsbrain} | R Documentation | 
Compute atlas or annotation surface color layer.
Description
Compute atlas or annotation surface color layer.
Usage
collayer.bg.atlas(
  subjects_dir,
  subject_id,
  hemi = "both",
  atlas = "aparc",
  grayscale = FALSE,
  outline = FALSE,
  outline_surface = "white"
)
Arguments
subjects_dir | 
 character string, the FreeSurfer SUBJECTS_DIR.  | 
subject_id | 
 character string, the subject identifier.  | 
hemi | 
 character string, one of 'lh', 'rh', or 'both'. The latter will merge the data for both hemis into a single vector.  | 
atlas | 
 character string, the atlas name. E.g., "aparc", "aparc.2009s", or "aparc.DKTatlas". Used to construct the name of the annotation file to be loaded.  | 
grayscale | 
 logical, whether to convert the atlas colors to grayscale  | 
outline | 
 logical, whether to draw an outline only instead of filling the regions. Defaults to 'FALSE'. Instead of passing 'TRUE', one can also pass a list of extra parameters to pass to   | 
outline_surface | 
 character string, the surface to load. Only relevant when 'outline' is used. (In that case the surface mesh is needed to compute the vertices forming the region borders.)  | 
Value
a color layer, i.e., vector of color strings in a hemilist
Note
Using 'outline' mode is quite slow, and increasing the border thickness makes it even slower.
See Also
You can plot the return value using vis.color.on.subject.
Other surface color layer: 
collayer.bg.meancurv(),
collayer.bg.sulc(),
collayer.bg(),
collayer.from.annotdata(),
collayer.from.annot(),
collayer.from.mask.data(),
collayer.from.morphlike.data(),
collayers.merge()