In order to do so, we need to increase sample sizes sufficiently to reach the statistical power required to detect and replicate genetic associations of common variants with the EEG biomarkers. Genetic variants typically have small effect sizes, thus requiring large sample sizes. As in other ENIGMA workgroups, a core element of ENIGMA‐EEG is to perform our genetic studies using a meta‐analytic approach, where participating cohorts analyze their data locally, after which they are collected, scrutinized, and meta‐analyzed, after which they are linked to the disorders. This requires coordination between participating cohorts in prioritizing subject of investigation, the method of analysis, and coordination of the effort put in by each site to reach the inevitable goal of science, the manuscript. Figure 1 shows the workflow of our consortium in more detail, illustrating that collaborative efforts require extensive discussion and coordination. It shows how data/results are shared, what data/results are shared, the role of each of the participating sites, and the role of ENIGMA‐EEG in coordinating this process. As Figure 1 shows, most of the work is performed by the collaborating
