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.

{"references": ["Mensen A, Khatami R. Advanced EEG analysis using threshold-free cluster-enhancement and non-parametric statistics. Neuroimage 2013;67:111\u2013118."]}