fsbrain

fsbrain visualizes structural neuroimaging data by rendering cortical surface and volumetric morphometry for analysis of brain morphology, including cortical thickness, parcellations, labels, and statistical maps.


Key Features:

  • 3D surface rendering: Renders vertex-wise and region-wise morphometric data on three-dimensional cortical surfaces, including cortical thickness, parcellations, labels, and statistical results.
  • Voxel-based visualization: Supports visualization of voxel-based (volumetric) data through a lightbox mode.
  • Export formats: Allows saving visualizations as bitmap image files.

Scientific Applications:

  • Individual subject analysis: Visualizes subject-specific morphometric characteristics such as cortical thickness and label-based measures.
  • Group-level analysis: Displays group-level morphometric patterns and statistical results across populations.
  • Statistical mapping: Maps statistical results onto cortical surfaces to support interpretation of neuroimaging findings.

Methodology:

Renders vertex-wise and region-wise morphometry on 3D surfaces, displays voxel-based data in lightbox mode, and exports plots as bitmap images.

Topics

Details

Tool Type:
library
Programming Languages:
R
Added:
1/18/2021
Last Updated:
3/11/2021

Operations

Publications

Schäfer T, Ecker C. fsbrain: an R package for the visualization of structural neuroimaging data. Unknown Journal. 2020. doi:10.1101/2020.09.18.302935.