EEG Permutation Testing: An open-source matlab toolbox implementing various permutation strategies for EEG statistical analysis

This open-source toolbox for matlab is primarily designed to statistically analyse EEG dataset using a mass-univariate approach (either simple T-test contrasts, or appropriate ANOVA designs) of all channels, time-points and/or frequency bins, followed by threshold-free cluster-enhancement approach and the maximum-permutation strategy to obtain individual p-values for each channel-sample-frequency pairing and adequately account for the multiple comparisons problem. The toolbox also provides a user interface from which to explore the results freely and create publication ready tables and figures.