GRETNA: a graph theoretical network analysis toolbox for imaging connectomics

Recent studies have suggested that the brain's structural and functional networks (i.e., connectomics) can be constructed by various imaging technologies (e.g., EEG/MEG; structural, diffusion and functional MRI) and further characterized by graph theory. Given the huge complexity of network construction, analysis and statistics, toolboxes incorporating these functions are largely lacking. Here, we developed the GRaph thEoreTical Network Analysis (GRETNA) toolbox for imaging connectomics. The GRETNA contains several key features as follows: (i) an open-source, Matlab-based, cross-platform (Windows and UNIX OS) package with a graphical user interface (GUI); (ii) allowing topological analyses of global and local…

• NN
  National Natural Science Foundation of China

  Awards: 81225012, 30870667, 81401479, 2014CB846102, 31221003, 81030028
• NS
  Natural Science Foundation of Zhejiang Province