subject.annot {fsbrain}

Load an annotation for a subject.

Description

Load a brain surface annotation, i.e., a cortical parcellation based on an atlas, for a subject.

Usage

subject.annot(subjects_dir, subject_id, hemi, atlas)

Arguments

subjects_dir

string. The FreeSurfer SUBJECTS_DIR, i.e., a directory containing the data for all your subjects, each in a subdir named after the subject identifier.

subject_id

string. The subject identifier

hemi

string, one of 'lh' or 'rh'. The hemisphere name. Used to construct the names of the annotation and morphometry data files to be loaded.

atlas

string. The atlas name. E.g., "aparc", "aparc.2009s", or "aparc.DKTatlas". Used to construct the name of the annotation file to be loaded.

Value

the annotation, as returned by read.fs.annot. It is a named list, enties are: "vertices" vector of n vertex indices, starting with 0. "label_codes": vector of n integers, each entry is a color code, i.e., a value from the 5th column in the table structure included in the "colortable" entry (see below). "label_names": the n brain structure names for the vertices, already retrieved from the colortable using the code. "hex_colors_rgb": Vector of hex color for each vertex. The "colortable" is another named list with 3 entries: "num_entries": int, number of brain structures. "struct_names": vector of strings, the brain structure names. "table": numeric matrix with num_entries rows and 5 colums. The 5 columns are: 1 = color red channel, 2=color blue channel, 3=color green channel, 4=color alpha channel, 5=unique color code. "colortable_df": The same information as a dataframe. Contains the extra columns "hex_color_string_rgb" and "hex_color_string_rgba" that hold the color as an RGB(A) hex string, like "#rrggbbaa".

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.annot(), spread.values.over.hemi(), spread.values.over.subject(), 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_lh = subject.annot(subjects_dir, "subject1", "lh", "aparc");

## End(Not run)