Large‐scale collaboration in ENIGMA‐EEG: A perspective on the meta‐analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity

Large‐scale collaboration in ENIGMA‐EEG: A perspective on the meta‐analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity

Abstract Background and purpose The ENIGMA‐EEG working group was established to enable large‐scale international collaborations among cohorts that investigate the genetics of brain function measured with electroencephalography (EEG). In this perspective, we will discuss why analyzing the genetics of...

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Bibliographic Details
Main Authors: Dirk J. A. Smit, Ole A. Andreassen, Dorret I. Boomsma, Scott J. Burwell, David B. Chorlian, Eco J. C. deGeus, Torbjørn Elvsåshagen, Reyna L. Gordon, Jeremy Harper, Ulrich Hegerl, Tilman Hensch, William G. Iacono, Philippe Jawinski, Erik G. Jönsson, Jurjen J. Luykx, Cyrille L. Magne, Stephen M. Malone, Sarah E. Medland, Jacquelyn L. Meyers, Torgeir Moberget, Bernice Porjesz, Christian Sander, Sanjay M. Sisodiya, Paul M. Thompson, Catharina E. M. vanBeijsterveldt, Edwin vanDellen, Marc Via, Margaret J. Wright
Format: Article
Language:English
Published: Wiley 2021-08-01
Series:Brain and Behavior
Subjects:
brain disorders
electroencephalography
ENIGMA
harmonization
imaging genetics
open science
Online Access:https://doi.org/10.1002/brb3.2188

Internet

https://doi.org/10.1002/brb3.2188

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