Large-scale collaboration in ENIGMA-EEG: A perspective on the meta-analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity.
ENIGMA
brain disorders
electroencephalography
harmonization
imaging genetics
open science
Journal
Brain and behavior
ISSN: 2162-3279
Titre abrégé: Brain Behav
Pays: United States
ID NLM: 101570837
Informations de publication
Date de publication:
08 2021
08 2021
Historique:
revised:
12
03
2021
received:
19
05
2020
accepted:
30
04
2021
pubmed:
23
7
2021
medline:
23
9
2021
entrez:
22
7
2021
Statut:
ppublish
Résumé
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. 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. 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. 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.
Sections du résumé
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.
Identifiants
pubmed: 34291596
doi: 10.1002/brb3.2188
pmc: PMC8413828
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e02188Subventions
Organisme : European Research Council
ID : 771057
Pays : International
Organisme : NIMH NIH HHS
ID : MH089951
Pays : United States
Organisme : NIH HHS
ID : R01D0042157-01A1
Pays : United States
Organisme : NIH HHS
ID : DA018673
Pays : United States
Organisme : NIH HHS
ID : APP1172917
Pays : United States
Organisme : European Research Council
ID : 230374
Pays : International
Organisme : NIMH NIH HHS
ID : R01 MH058799
Pays : United States
Organisme : NIH HHS
ID : K18DC017383
Pays : United States
Organisme : NIAAA NIH HHS
ID : AA008401
Pays : United States
Organisme : NICHD NIH HHS
ID : P50 HD103537
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK092127
Pays : United States
Organisme : NIAAA NIH HHS
ID : U10 AA008401
Pays : United States
Organisme : NIH HHS
ID : DA036216
Pays : United States
Organisme : NIH HHS
ID : DA005147
Pays : United States
Organisme : NIMH NIH HHS
ID : MH089995
Pays : United States
Organisme : NIAAA NIH HHS
ID : R21 AA026919
Pays : United States
Organisme : European Research Council
ID : 284167
Pays : International
Organisme : NIH HHS
ID : K01DA037914
Pays : United States
Organisme : NIH HHS
ID : EB020403
Pays : United States
Organisme : NIDA NIH HHS
ID : T32 DA037183
Pays : United States
Organisme : NIH HHS
ID : AA009367
Pays : United States
Organisme : NIH HHS
ID : DP2HD098859
Pays : United States
Organisme : NIMH NIH HHS
ID : U24 MH068457
Pays : United States
Organisme : NIH HHS
ID : AA008401
Pays : United States
Organisme : NIMH NIH HHS
ID : MH081802
Pays : United States
Informations de copyright
© 2021 The Authors. Brain and Behavior published by Wiley Periodicals LLC.
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