Graph Theory GLM (GTG) MATLAB Toolbox

This MATLAB toolbox calculates & runs a GLM on graph theory properties derived from brain networks. The GLM accepts continuous & categorical between-participant predictors & categorical within-participant predictors. Significance is determined via non-parametric permutation tests, including correction for multiple comparisons. Both fully connected & thresholded networks are tested.

The toolbox also provides a data processing path for resting state & task fMRI data. Options for partialing nuisance signals include: local & total white matter signal (Jo et al., 2013), PCA of white matter/ventricular signal (Muschelli et al., 2014), Saad et al. (2013)'s GCOR, & Chen et al. (2012)’s GNI. In addition, Power et al. (2014)'s motion scrubbing method & Patel et al. (2014)'s WaveletDespike are available.

Please sign up for the mailing list, as this is where we announce new releases.

Download Now Download

OR   See All Files

Specifications

Category:
License:
Development Status:
Diagnosis:
Domain:
MR
Intended Audience:
Natural Language:
Operating System:
Programming Language:
Supported Data Format:
Other Keywords:
graph, graph theoretic, graph theory, network