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

Autor: Dorret I. Boomsma, Reyna L. Gordon, Paul M. Thompson, Eco J. C. de Geus, Bernice Porjesz, Cyrille Magne, Margaret J. Wright, Catharina E. M. van Beijsterveldt, Ole A. Andreassen, Philippe Jawinski, Erik G. Jönsson, Jacquelyn L. Meyers, William G. Iacono, Dirk J.A. Smit, Edwin van Dellen, Marc Via, Christian Sander, Tilman Hensch, Torbjørn Elvsåshagen, Scott J. Burwell, Ulrich Hegerl, Jurjen J. Luykx, David B. Chorlian, Sanjay M. Sisodiya, Sarah E. Medland, Torgeir Moberget, Stephen M. Malone, Jeremy Harper
Přispěvatelé: Adult Psychiatry, ANS - Compulsivity, Impulsivity & Attention, Biological Psychology, APH - Mental Health, APH - Methodology, APH - Personalized Medicine
Rok vydání: 2021
Předmět:
medicine.medical_specialty
Open science
Brain activity and meditation
Imaging genetics
Neurosciences. Biological psychiatry. Neuropsychiatry
Malalties cerebrals
Electroencephalography
Affect (psychology)
03 medical and health sciences
Behavioral Neuroscience
SDG 17 - Partnerships for the Goals
0302 clinical medicine
ddc:150
open science
Methods
medicine
Humans
ddc:610
Association (psychology)
Psychiatry
Accés obert
ENIGMA
030304 developmental biology
Brain Mapping
0303 health sciences
Open access publishing
medicine.diagnostic_test
harmonization
Perspective (graphical)
Brain
Signal Processing
Computer-Assisted
brain disorders
electroencephalography
Scale (social sciences)
imaging genetics
Brain diseases
Electroencefalografia
Psychology
030217 neurology & neurosurgery
RC321-571
Genome-Wide Association Study
Zdroj: Brain and Behavior
Brain and Behavior, Vol 11, Iss 8, Pp n/a-n/a (2021)
Brain and behavior, 11(8):e02188. John Wiley and Sons Inc.
BRAIN AND BEHAVIOR
r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname
Smit, D J A, Andreassen, O A, Boomsma, D I, Burwell, S J, Chorlian, D B, de Geus, E J C, Elvsåshagen, T, Gordon, R L, Harper, J, Hegerl, U, Hensch, T, Iacono, W G, Jawinski, P, Jönsson, E G, Luykx, J J, Magne, C L, Malone, S M, Medland, S E, Meyers, J L, Moberget, T, Porjesz, B, Sander, C, Sisodiya, S M, Thompson, P M, van Beijsterveldt, C E M, van Dellen, E, Via, M & Wright, M J 2021, ' Large-scale collaboration in ENIGMA-EEG : A perspective on the meta-analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity ', Brain and Behavior, vol. 11, no. 8, e02188, pp. 1-20 . https://doi.org/10.1002/brb3.2188
r-FSJD: Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
Fundació Sant Joan de Déu
Dipòsit Digital de la UB
Universidad de Barcelona
Brain and Behavior, 11(8):e02188, 1-20. John Wiley and Sons Inc.
ISSN: 2162-3279
Popis: 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 functional brain activity may be crucial for understanding how neurological and psychiatric liability genes affect the brain. Methods We summarize how we have performed our currently largest genome‐wide association study of oscillatory brain activity in EEG recordings by meta‐analyzing the results across five participating cohorts, resulting in the first genome‐wide significant hits for oscillatory brain function located in/near genes that were previously associated with psychiatric disorders. We describe how we have tackled methodological issues surrounding genetic meta‐analysis of EEG features. We discuss the importance of harmonizing EEG signal processing, cleaning, and feature extraction. Finally, we explain our selection of EEG features currently being investigated, including the temporal dynamics of oscillations and the connectivity network based on synchronization of oscillations. Results We present data that show how to perform systematic quality control and evaluate how choices in reference electrode and montage affect individual differences in EEG parameters. Conclusion 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.
We present the perspective of the ENIGMA‐EEG workgroup on our goal to elucidate the genetics of brain activity measured by electroencephalography. We explain the issues that arise when performing an international multicohort study and the solutions to these problems. We summarize our initial results and lay out our plans for future electroencephalographic features that are crucial to investigate in order to link liability genes to brain activity.
Databáze: OpenAIRE
Externí odkaz: