To assess changes in the strength of PAC between the grating and baseline periods, the comodulograms were compared using non-parametric cluster-based statistics, which have been shown to adequately control the type-I error rate for electrophysiological data (Maris and Oostenveld, 2007). First, an uncorrected dependent-samples t-test was performed (grating vs. baseline), and all MI-values exceeding a 5% significance threshold were grouped into clusters. The maximum t-value within each cluster was carried forward. Next, a null distribution was obtained by randomizing the condition label (grating/baseline) 1,000 times and calculating the largest cluster-level t-value for each permutation. The maximum t-value within each original cluster was then compared against this null distribution, with values exceeding a threshold of p < 0.05 deemed significant.
