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Matlab toolbox to run a GLM on graph theoretic properties in MRI data
This Matlab toolbox runs a GLM on graph theoretic network properties in brain networks. The GLM accepts continuous & categorical between-participant predictors and categorical within-participant predictors. Significance is determined via non-parametric permutation tests. The toolbox allows testing of both fully connected and thresholded networks (based on a range of thresholds).
The toolbox also provides a data processing path for resting state fMRI data. Several options for partialing...
This project aims at developing R-based Software for the analysis of typical neuroscientific data. These will include time resolved bootstrap tests and fitting and testing of psychometric functions.