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Graph Theory GLM (GTG) MATLAB Toolbox (RRID:SCR_014075)
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Resource Information

URL: https://www.nitrc.org/projects/metalab_gtg/

Proper Citation: Graph Theory GLM (GTG) MATLAB Toolbox (RRID:SCR_014075)

Description: A software application that calculates and runs a GLM on graph theory properties derived from brain networks. The GLM accepts continuous and categorical between-participant predictors and categorical within-participant predictors. Significance is determined via non-parametric permutation tests. Both fully connected and thresholded networks are tested. The toolbox also provides a data processing path for resting state and (block design) task fMRI data. Options for partialing nuisance signals include local and total white matter signal and PCA of white matter/ventricular signal. For task fMRI, connectivity matrices are computed for each condition by dividing up the timeseries. To compensate for HDR-related delay, the timeseries is deconvolved, allowing for division at the actual onset/offset times.

Abbreviations: GTG

Synonyms: Graph Theory GLM, GTG MATLAB Toolbox

Resource Type: software resource, software application, data analysis software, data processing software

Keywords: MATLAB, Connectivity Analysis, fMRI, data analysis software

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