GraphVar: A user-friendly toolbox for comprehensive graph analyses of functional brain connectivity
“GraphVar” is a user-friendly graphical-user-interface based toolbox (MATLAB) for comprehensive graph-theoretical analyses of brain connectivity, including network construction and characterization, statistical analysis (GLM and Machine Learning) on network topological measures, and interactive exploration of results. By combining together features across multiple current toolboxes, such as the Brain Connectivity Toolbox, the Network Based Statistic Toolbox, and BrainNetClass (BCT, Rubinov and Sporns 2010; NBS, Zalesky et al., 2010; BrainNetClass, Zhou et al., 2020), GraphVar represents a comprehensive collection of graph analysis routines for functional neuroimaging researchers. GraphVar offers an interactive viewer that allows intuitive exploration of statistical results. Results can easily be exported and reloaded. The program entails a detailed manual that includes usage instructions and a description of all the implemented functions.
Recent Activity - Documents
Recent Activity - News
GraphVar 2.0 machine learning paper in JNeuroscience Methods posted by Johann Kruschwitz on Jul 18, 2018
GraphVar now published in "Journal of Neuroscience Methods" posted by Johann Kruschwitz on Feb 26, 2015