Large-scale collaboration in ENIGMA-EEG: A perspective on the meta-analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity.
Dirk J A SmitOle A AndreassenDorret I BoomsmaScott J BurwellDavid B ChorlianEco J C de GeusTorbjørn ElvsåshagenReyna L GordonJeremy HarperUlrich HegerlTilman HenschWilliam G IaconoPhilippe JawinskiErik G JönssonJurjen J LuykxCyrille L MagneStephen M MaloneSarah E MedlandJacquelyn L MeyersTorgeir MobergetBernice PorjeszChristian SanderSanjay M SisodiyaPaul M ThompsonCatharina E M van BeijsterveldtEdwin van DellenMarc ViaMargaret J WrightPublished in: Brain and behavior (2021)
The long list of potential challenges to our large-scale meta-analytic approach requires extensive effort and organization between participating cohorts; however, our perspective shows that these challenges are surmountable. Our perspective argues that elucidating the genetic of EEG oscillatory activity is a worthwhile effort in order to elucidate the pathway from gene to disease liability.