Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_statfun_diff_itc”.

FT_STATFUN_DIFF_ITC computes the difference in the inter-trial coherence between two conditions. The input data for this test should consist of complex-values spectral estimates, e.g. computed using FT_FREQANALYSIS with method=mtmfft, wavelet or mtmconvcol. The ITC is a measure of phase consistency over trials. By randomlly shuffling the trials between the two consitions and repeatedly computing the ITC difference, you can test the significance of the two conditions having a different ITC. A difference in the number of trials poer condition will affect the ITC, however since the number of trials remains the same for each random permutation, this bias is reflected in the randomization distribution. Use this function by calling [stat] = ft_freqstatistics(cfg, freq1, freq2, ...) with the following configuration options cfg.method = 'montecarlo' cfg.statistic = 'diff_itc' and optionally the options cfg.complex = 'diffabs' to compute the difference of the absolute ITC values (default), or 'absdiff' to compute the absolute value of the difference in the complex ITC values. NOTE: For this specific statistic there is no known parametric distribution, hence the probability and critical value cannot be computed. This specific statistic can therefore only be used with cfg.method='montecarlo'. If you want to do this in combination with cfg.correctm='cluster', you need cfg.clusterthreshold='nonparametric_common' or cfg.clusterthreshold='nonparametric_individual'. See FT_FREQSTATISTICS and FT_STATISTICS_MONTECARLO for more details

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