Key concepts of fRAT

Representation of how ROI-wise maps are produced. Data from a single participant is shown here. All figures are in native space apart from (D), which is in standard space. (A) Original functional volume. (B) Voxelwise temporal signal-to-noise ratio (tSNR) map. (C) Harvard-Oxford Cortical atlas regions assigned to participant. (D) Combination of (B) and (C) to produce final ROI-wise tSNR map.

As seen in the figure below, fRAT contains 3 main components: voxelwise map creation, ROI analysis, and inferential statistics and visualisation. Each step component a configuration log file to log what settings were used during this step. The ROI analysis step requires: functional volumes, anatomical volumes, and voxelwise statistical maps. While voxelwise statistical maps can be created using fRAT itself, any voxelwise map can be used for the ROI analysis.