group.agg.atlas.native: Aggregate native space morphometry data over brain atlas...

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

Aggregate native space morphometry data over brain atlas regions and subjects for a group of subjects.

Description

Aggregate native space morphometry data over brain atlas regions, e.g., compute the mean thickness value over all regions in an atlas for all subjects.

Usage

group.agg.atlas.native(
  subjects_dir,
  subjects_list,
  measure,
  hemi,
  atlas,
  agg_fun = mean,
  cache_file = NULL
)

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.
subjects_list	string vector. A vector of subject identifiers that match the directory names within subjects_dir.
measure	string. Name of the vertex-wise measure of morphometry data file. E.g., "area" or "thickness". Used to construct the name of the morphometry file to be loaded.
hemi	string, one of 'lh', 'rh', 'split', or 'both'. The hemisphere name. Used to construct the names of the annotation and morphometry data files to be loaded. If set to 'both', combined data for 'lh' and 'rh' will be used. If 'split', the data for hte two hemispheres will go into seprate columns, with column names having 'lh_' and 'rh_' prefixes.
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.
agg_fun	function. An R function that aggregates data, typically max, mean, min or something similar. Note: this is NOT a string, put the function name without quotes. Defaults to mean.
cache_file	string or NULL. If given, it is interpreted as path of a file, and the data will be cached in the file cache_file in RData format. If the file does not exist yet, the function will run and cache the data in the file. If the file exists, the function will load the data from the file instead of running. The filename should end in '.RData', but that is not enforced or checked in any way. WARNING: If cached data is returned, all parameters passed to this function (with the exception of 'cache_file') are ignored! Whether the cached data is for another subjects_list or hemi is NOT checked! You have to ensure this yourself, by using different filenames. Defaults to NULL.

Value

dataframe with aggregated values for all regions and subjects, with n columns and m rows, where n is the number of subjects and m is the number of regions.

See Also

Other aggregation functions: group.agg.atlas.standard(), group.morph.agg.standard.vertex(), subject.atlas.agg()

Other atlas functions: get.atlas.region.names(), 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.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");
   agg = group.agg.atlas.native(subjects_dir, c('subject1', 'subject2'),
    'thickness', 'lh', 'aparc');
   # Visualize the mean values. Could use any subject, typically
   # one would use fsaverage. Here we use subject1:
   agg$subject = NULL;   # remove non-numeric column.
   vis.region.values.on.subject(subjects_dir, 'subject1', 'aparc',
    lh_region_value_list=colMeans(agg), rh_region_value_list=NULL);

## End(Not run)

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