Statistical analysis
Generalized mixed models were constructed to compare error rates and latency of correct antisaccades and errors between the three conditions using the R package lme4 (Statistical inference of the EEG data was ascertained with cluster-based permutation tests implemented in MNE Python (To assess whether preparatory beta or theta activity may predict the antisaccade outcome (correct antisaccade / error) or antisaccade latency on a single trial level, a second set of generalized mixed-effect models were run with main effects of condition and theta, respectively beta activity (cf. Results section) as well as their interaction as fixed effects and participants as random effect.