qc.vis.failcount.by.region: Visualize the number of outlier subjects per region in your...

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

Visualize the number of outlier subjects per region in your dataset.

Description

The function helps you to see which regions are affected the most by QC issues: for each region, it plots the number of subjects which are outliers in the region.

Usage

qc.vis.failcount.by.region(
  qc_res,
  atlas,
  subjects_dir = fsaverage.path(),
  subject_id = "fsaverage",
  ...
)

Arguments

qc_res	hemilist of QC results, as returned by functions like qc.for.group or qc.from.segstats.tables.
atlas	string. The brain atlas to use. E.g., 'aparc' or 'aparc.a2009s'.
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.
...	extra parameters passed to vis.region.values.on.subject. E.g., to change to interactive view, get a colorbar and better resolution, try: draw_colorbar=T, rgloptions = rglo(), views='si'.

Note

You can visualize this on any subject you like, 'fsaverage' is a typical choice. The atlas must be the one used during the QC step.

dfsp-spirit/nitools documentation built on Jan. 26, 2024, 8:24 p.m.