Package brainGraph

neuro
mri
package
Author

Dr. Joscelin Rocha-Hidalgo

Published

December 13, 2020

Buy me a coffeeBuy me a coffee

Description from site: A set of tools for performing graph theory analysis of brain MRI data. It works with data from a Freesurfer analysis (cortical thickness, volumes, local gyrification index, surface area), diffusion tensor tractography data (e.g., from FSL) and resting-state fMRI data (e.g., from DPABI). It contains a graphical user interface for graph visualization and data exploration, along with several functions for generating useful figures.

  1. Link to documentation: https://cran.r-project.org/web/packages/brainGraph/brainGraph.pdf
  2. Link to repo: https://github.com/cwatson/brainGraph
  3. Link to User Guide: https://cwatson.github.io/files/brainGraph_UserGuide.pdf

Screenshot of a brain network visualization using the brainGraph R package. Two brain images are displayed side by side labeled “Control” and “Patient.” Each image shows colored nodes and connecting lines superimposed on an axial brain slice. Node colors represent brain lobes (e.g., frontal in red, parietal in green), and sizes correspond to degree centrality. The control and patient graphs show different node sizes and edge connections, with a legend summarizing node counts by lobe. A panel on the left provides user interface controls for customizing the graph display.

Back to top