brainGraph
An R package for performing graph theory analyses of brain MRI data from structural, DTI, and resting-state fMRI connectivity.
What is brainGraph?
brainGraph is an R package that applies graph theory to analyze brain MRI data, modeling the brain as a network of interconnected regions. It computes various graph metrics to study brain connectivity patterns and differences across groups or conditions. The package supports multiple MRI modalities including structural, DTI, and resting-state fMRI data.
Neuroscience researchers, data scientists, and bioinformaticians who analyze brain MRI data and want to apply graph theory methods to understand brain network organization and connectivity.
It provides a comprehensive, open-source solution within R for graph-based brain network analysis, integrating statistical methods like NBS and MTPC, and supporting numerous standard brain atlases out of the box.
Overview
Graph theory analysis of brain MRI data
Use Cases
Best For
- Analyzing structural covariance networks from brain MRI data
- Performing group-level statistical comparisons of brain network properties
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