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 (NBSDirected.zip).
- R package for NBS by Zeus Gracia-Tabuenca: https://cran.r-project.org/web/packages/...
- NBS extension for directed networks by Max von Gellhorn (NBSDirected.zip).
- R package for NBS by Zeus Gracia-Tabuenca: https://cran.r-project.org/web/packages/...
Specifications
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Recent Activity - Forums
RE: Multiple significant networks posted by Andrew Zalesky on Apr 4
RE: Report the NBS method and results posted by Andrew Zalesky on Apr 4
Report the NBS method and results posted by omid sefat on Apr 3
Multiple significant networks posted by YaeJi Kim on Mar 30
Can structure function coupling matrices be used in NBS? posted by Shania Soman on Mar 4
Recent Activity - Files
NBSDirected1.0.zip posted by Andrew Zalesky on Nov 29, 2020
NBS: Reference Manual (v1.2) release
Reference_Manual_NBS_v1.2.pdf posted by Andrew Zalesky on Mar 20, 2013
NBS1.2.zip posted by Andrew Zalesky on Nov 13, 2012
NBS1.1.1.zip posted by Andrew Zalesky on Aug 11, 2012