We used cluster-based permutation tests 93 implemented in FieldTrip, which corrects for multiple comparisons. PAC analysis was computed between memory and control blocks for the amplitude frequencies of interest, the phase frequencies of interest, and all electrodes. A t-test was calculated at every electrode separately. Neighboring electrodes in terms of space, phase frequency, and amplitude frequency that fell below a p-value of 0.05 were grouped into clusters. Within each cluster, the sum of t-values was then calculated. A null distribution was generated using permutated data across subjects (1000 permutations). We calculated the maximum cluster-level test statistic, which provided a corrected p-value for each cluster. Clusters with a pcorrected < 0.01 (two-sided) were considered significant.
