collayer.bg: Compute binarized mean curvature surface color layer.

In fsbrain: Managing and Visualizing Brain Surface Data

Compute binarized mean curvature surface color layer.

Description

Compute a binarized mean curvature surface color layer, this is intended as a background color layer. You can merge it with your data layer using collayers.merge.

Usage

collayer.bg(subjects_dir, subject_id, bg, hemi = "both")

Arguments

subjects_dir	character string, the FreeSurfer SUBJECTS_DIR.
subject_id	character string, the subject identifier.
bg	character string, a background name. One of 'curv', 'curv_light', 'sulc', 'sulc_light', or 'aparc'. If this is already a colorlayer in a hemilist, it will be returned as-is.
hemi	character string, one of 'lh', 'rh', or 'both'. The latter will merge the data for both hemis into a single vector.

Value

a color layer, i.e., vector of color strings in a hemilist

See Also

You can plot the return value using vis.color.on.subject.

Other surface color layer: collayer.bg.atlas(), collayer.bg.meancurv(), collayer.bg.sulc(), collayer.from.annotdata(), collayer.from.annot(), collayer.from.mask.data(), collayer.from.morphlike.data(), collayers.merge()

fsbrain documentation built on July 9, 2023, 7:12 p.m.