In ENIGMA‐EEG, we expect that large‐scale studies of EEG data will help to elucidate the causal mechanisms of liability genes affecting the functioning brain, by identifying the genetics of EEG features. Given the wealth of EEG data available worldwide, and the promise of other imaging modalities such as structural measures of fMRI in massive data collections such as available in the UK Biobank (Manolio et al., 2012), there is still a huge incentive to collaborate across cohorts that have collected EEG and genetic data to combine their efforts and reach ever increasing sample sizes that have proven so useful for other fields (Sullivan, 2010; Sullivan et al., 2017). Such multisite and international alliances can boost power and may also help in avoiding the small sample pitfalls that sometimes may have stalled progress in areas of human neuroscience (Button et al., 2013).
