label.from.annotdata: Extract a region from an annotation as a label.

In dfsp-spirit/fsbrain: Managing and Visualizing Brain Surface Data

Extract a region from an annotation as a label.

Description

The returned label can be used to mask morphometry data, e.g., to set the values of a certain region to 'NaN' or to extract only values from a certain region.

Usage

label.from.annotdata(
  annotdata,
  region,
  return_one_based_indices = TRUE,
  invert = FALSE,
  error_on_invalid_region = TRUE
)

Arguments

annotdata	annotation. An annotation for one hemisphere, as returned by subject.annot. This must be the loaded data, not a path to a file.
region	string. A valid region name for the annotation, i.e., one of the regions of the atlas used to create the annotation.
return_one_based_indices	logical. Whether the indices should be 1-based. Indices are stored zero-based in label files, but R uses 1-based indices. Defaults to TRUE.
invert	logical. If TRUE, return the indices of all vertices which are NOT part of the region. Defaults to FALSE.
error_on_invalid_region	logical. Whether to throw an error if the given region does not appear in the region list of the annotation. If set to FALSE, this will be ignored and an empty vertex list will be returned. Defaults to TRUE.

Value

integer vector with label data: the list of vertex indices in the label. See 'return_one_based_indices' for important information.

See Also

Other atlas functions: get.atlas.region.names(), group.agg.atlas.native(), group.agg.atlas.standard(), group.annot(), group.label.from.annot(), 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(), subject.lobes()

dfsp-spirit/fsbrain documentation built on Nov. 28, 2024, 10:29 a.m.