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: 2-way ANOVA matrix design and contrast posted by Andrew Zalesky on May 24

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RE: 2-way ANOVA matrix design and contrast posted by Jeff Jiang on May 23

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RE: 2-way ANOVA matrix design and contrast posted by Andrew Zalesky on May 23

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RE: 2-way ANOVA matrix design and contrast posted by Jeff Jiang on May 23

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RE: 2-way ANOVA matrix design and contrast posted by Andrew Zalesky on May 23

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RE: 2-way ANOVA matrix design and contrast posted by Jeff Jiang on May 23

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2-way ANOVA matrix design and contrast posted by Jeff Jiang on May 21

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RE: component comprises only one edge  posted by Andrew Zalesky on May 20

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component comprises only one edge  posted by qing ma on May 19

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RE: Design matrix posted by Andrew Zalesky on May 12