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 Graph Analysis Toolbox, and the Network Based Statistic Toolbox (BCT, Rubinov and Sporns 2010; GAT, Hosseini et al., 2012; NBS, Zalesky et al., 2010), 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.
bct, fmri, functional, graph, graph analysis, graph components, graph statistics, graph theoretic, graph theory, nbs, network, network analysis, network based statistics, pipeline, resting state, small world
Recent Activity - Documents
Recent Activity - News
GraphVar now published in "Journal of Neuroscience Methods" posted by Johann Kruschwitz on Feb 26, 2015