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 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). 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. Developed by Zalesky, Fornito, Cocchi and Bullmore.
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Specifications

Category:Connectivity Analysis, Statistical Operation
License:GNU General Public License (GPL)
Domain:Domain Independent

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RE: Contrast not found or inconsistent posted by Andrew Zalesky on Apr 13

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Contrast not found or inconsistent posted by Nabin Koirala on Apr 13

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RE: Design matrix posted by Xiaonan Guo on Mar 29

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RE: Design matrix posted by Andrew Zalesky on Mar 28

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Design matrix posted by Xiaonan Guo on Mar 28

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RE: Exchange blocks for unpaired t-test posted by Andrew Zalesky on Mar 28

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Exchange blocks for unpaired t-test posted by Mchandra pal on Mar 28

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RE: non-square adj. matrices posted by Andrew Zalesky on Mar 27

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non-square adj. matrices posted by Toni Abe on Mar 27

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RE: pair t-test for 1 group posted by Andrew Zalesky on Feb 13