Network Based Statistic Toolbox





The Network Based Statistic Toolbox is a MATLAB toolbox for testing hypotheses about the human connectome. The network-based statistic has been widely used to identify connections and networks comprising the connectome associated with an experimental effect or a between-group difference. The user provides a series of connectivity matrices from different cohorts, or from the same subject during different experimental conditions. Connectivity matrices are inferred from neuroimaging data using other packages that, for example, count the number of tractography streamlines that interconnect each pair of regions (diffusion-MRI), or measure the extent of inter regional correlation in BOLD response (fMRI). The user specifies hypothesis to be tested at every connection with the general linear model. Features include: graphical user interface; NBSview, a basic network viewer modeled on SPMresults; exchange blocks for repeated measures; options to measure network size with intensity or extent; false discovery rate (FDR) option.

Reference and citation

Network-based statistic: identifying differences in brain networks.
Zalesky A, Fornito A, Bullmore ET (2010) NeuroImage 53:1197-207.

Contributors

Andrew Zalesky azalesky at unimelb.edu.au
Alex Fornito
Luca Cocchi
Ed Bullmore
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Mikail Rubinov,
Mar 24, 2013, 12:47 PM