GraphVar contains most functions included in the Brain Connectivity Toolbox, but allows users to add custom functions which can subsequently be accessed via GraphVar does not require MATLAB programming experience Walter and is provided under the GNU GPL v3 *equal contribution) The program entails a detailed manual that includes usage instructions and a description of all the implemented functions, a Quick Guide for getting started, and a tutorial for getting started with sample data. Results can easily be exported and reloaded.
GraphVar offers an interactive viewer that allows intuitive exploration of statistical results. By combining together features across multiple current toolboxes, such as the Brain Connectivity Toolbox, the Graph Analysis Toolbox, the Network Based Statistic Toolbox, BrainNetClass and BRAPH (BCT, Rubinov and Sporns 2010 GAT, Hosseini et al., 2012 NBS, Zalesky et al., 2010 BrainNetClass, Zhou et al., 2020 BRAPH, Mijalkov et al., 2017), GraphVar represents a comprehensive collection of graph analysis routines for functional neuroimaging researchers. “GraphVar” is a user-friendly graphical-user-interface (GUI)-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. Introduction to Brain Network Analysis (Youtube Channel)Īrticle in "Journal of Neuroscience Methods 2015"Īrticle in "Journal of Neuroscience Methods 2018" New release: GraphVar 2.03: DOWNLOAD HERE Waller L, Brovkin A, Dorfschmidt L, Bzdok D, Walter H, Kruschwitz JD - GraphVar 2.0: A user-friendly toolbox for machine learning on of functional connectivity measures, JNeuroscience Methods (2018), Kruschwitz JD, List D, Waller L, Rubinov M, Walter H - GraphVar: A user-friendly toolbox for comprehensive graph analyses of functional brain connectivity, JNeuroscience Methods (2015), NEW: Video Tutorials available on the GraphVar Youtube Channel
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