Statistical analyses
All analyses were conducted using R Studio (R Team, 2015). Mixed-effects generalized linear models (GLMMs) on a binomial distribution were adopted to test for tACS effects on performance, with a critical α-error = 0.05. Descriptive statistics, results for random effects and fixed effects from each task are reported in the Supplementary Materials.The experimental group (“Group”, 3 levels: sham, 40Hz-tACS_ON, 40Hz-tACS_PRE) served as between-subject independent variable. Participants’ “Participants’ RTs were also evaluated as a dependent variable by using mixed-effects linear models (LMMs), with the same independent variables. All models used random intercepts on participants. Trials with RTs beyond ± 2 SD from the participant’s mean were discarded as potential outliers. The significance of each effect was estimated using the Satterthwaite approximation for degrees of freedom in LMMs and performing likelihood ratio tests (LRTs) with corresponding null models in GLMMs. Post-hoc comparisons (using Tukey HSD 