Network-Based Statistic (NBS)

Matlab toolbox for testing hypotheses about the human connectome. NBS has been widely used to identify connections and networks comprising the connectome that are associated with an experimental effect or a between-group difference. User provides a series of connectivity matrices from different cohorts, or from the same subject during different conditions. Connectivity matrices are inferred from neuroimaging data using packages that, for example, count the number of tractography streamlines that interconnect each pair of regions (diffusion-MRI), or measure the extent of correlation in BOLD response (fMRI). User specifies hypothesis with the GLM. Features include: graphical user interface; NBSview, a basic network viewer modeled on SPMresults; exchange blocks for repeated measures. Developed by Zalesky, Fornito, Cocchi & Bullmore.

- NBS extension for directed networks by Max von Gellhorn (

- R package for NBS by Zeus Gracia-Tabuenca:

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GNU General Public License (GPL)