fsbrain (version 0.4.3)

spread.values.over.annot: Spread a single value for a region to all region vertices.

Description

Given an annotation and a list of values (one per brain region), return data that has the values for each region mapped to all region vertices.

Usage

spread.values.over.annot(
  annot,
  region_value_list,
  value_for_unlisted_regions = NaN,
  warn_on_unmatched_list_regions = FALSE,
  warn_on_unmatched_atlas_regions = FALSE
)

Arguments

annot,

annotation. The result of calling fs.read.annot.

region_value_list,

named list of strings. Each name must be a region name from the annotation, and the value must be the value to spread to all region vertices.

value_for_unlisted_regions,

numeric scalar. The value to assign to vertices which are part of atlas regions that are not listed in region_value_list. Defaults to NaN.

warn_on_unmatched_list_regions,

logical. Whether to print a warning when a region occurs in the region_value_list that is not part of the given atlas (and the value assigned to this region is thus ignored in the output file and data). Defaults to FALSE.

warn_on_unmatched_atlas_regions,

logical. Whether to print a warning when a region occurs in the atlas that is not part of the given region_value_list (and thus the vertices of the region will be assigned the value 'value_for_unlisted_regions' in the output file and data). Defaults to FALSE.

Value

named list with following entries: "spread_data": a vector of length n, where n is the number of vertices in the annotation. One could write this to an MGH or curv file for visualization. "regions_not_in_annot": list of regions which are not in the annotation, but in the region_value_list. Their values were ignored.

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.hemi(), spread.values.over.subject(), subject.annot(), subject.atlas.agg(), subject.label.from.annot(), subject.lobes()

Examples

# NOT RUN {
   fsbrain::download_optional_data();
   subjects_dir = fsbrain::get_optional_data_filepath("subjects_dir");
   annot = subject.annot(subjects_dir, 'subject1', 'lh', 'aparc');
   region_value_list = list("bankssts"=0.9, "precuneus"=0.7);
   morph_like_data =
   spread.values.over.annot(annot, region_value_list, value_for_unlisted_regions=0.0);
# }
# NOT RUN {
# }