collayer.bg.meancurv: 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.meancurv(
  subjects_dir,
  subject_id,
  hemi = "both",
  cortex_only = FALSE,
  bin_colors = c("#898989", "#5e5e5e"),
  bin_thresholds = c(0)
)

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.
cortex_only	logical, whether to restrict pattern computation to the cortex.
bin_colors	vector of two character strings, the two colors to use.
bin_thresholds	vector of 1 or 2 double values, the curvature threshold values used to separate gyri from sulci.

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.sulc(), collayer.bg(), 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.