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Network Based Statistic Toolbox

RRID:SCR_002454 RRID Copied

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Network Based Statistic Toolbox (RRID:SCR_002454)

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URL: https://sites.google.com/site/bctnet/comparison/nbs

Proper Citation: Network Based Statistic Toolbox (RRID:SCR_002454)

Description: 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.

Abbreviations: NBS

Synonyms: Network Based Statistic Toolbox, Network-Based Statistic (NBS)

Resource Type: software resource, software toolkit

Defining Citation: PMID:20600983

Keywords: connectivity analysis, domain independent, statistical operation, matlab

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This resource

is listed by	NeuroImaging Tools and Resources Collaboratory (NITRC)
is related to	Network-Based R-Statistics
has parent organization	University of Melbourne; Victoria; Australia

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