GraphVar: A user-friendly toolbox for comprehensive graph analyses of functional brain connectivity

"Journal of Neuroscience Methods" (2015, 2018).

“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, Network Based Statistic Toolbox, BRAPH, and BrainNetClass (BCT, Rubinov and Sporns 2010; NBS, Zalesky et al., 2010; BRAPH, Mijalkov 2017; 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 comprehensive video tutorials.

Execution Options

Download Now:
Download

Specifications

License:
GNU General Public License (GPL)
Programming Language:
Other Keywords:
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