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.