ENIGMA-Sleep: Challenges, opportunities, and the road map

Masoud Tahmasian*, André Aleman, Ole A. Andreassen, Zahra Arab, Marion Baillet, Francesco Benedetti, Tom Bresser, Joanna Bright, Michael W.L. Chee, Daphne Chylinski, Wei Cheng, Michele Deantoni, Martin Dresler, Simon B. Eickhoff, Claudia R. Eickhoff, Torbjørn Elvsåshagen, Jianfeng Feng, Jessica C. Foster-Dingley, Habib Ganjgahi, Hans J. GrabeNynke A. Groenewold, Tiffany C. Ho, Seung Bong Hong, Josselin Houenou, Benson Irungu, Neda Jahanshad, Habibolah Khazaie, Hosung Kim, Ekaterina Koshmanova, Desi Kocevska, Peter Kochunov, Oti Lakbila-Kamal, Jeanne Leerssen, Meng Li, Annemarie I. Luik, Vincenzo Muto, Justinas Narbutas, Gustav Nilsonne, Victoria S. O’Callaghan, Alexander Olsen, Ricardo S. Osorio, Sara Poletti, Govinda Poudel, Joyce E. Reesen, Liesbeth Reneman, Mathilde Reyt, Dieter Riemann, Ivana Rosenzweig, Masoumeh Rostampour, Amin Saberi, Julian Schiel, Christina Schmidt, Anouk Schrantee, Emma Sciberras, Tim J. Silk, Kang Sim, Hanne Smevik, Jair C. Soares, Kai Spiegelhalder, Dan J. Stein, Puneet Talwar, Sandra Tamm, Giana l. Teresi, Sofie L. Valk, Eus Van Someren, Gilles Vandewalle, Maxime Van Egroo, Henry Völzke, Martin Walter, Rick Wassing, Frederik D. Weber, Antoine Weihs, Lars Tjelta Westlye, Margaret J. Wright, Mon Ju Wu, Nathalia Zak, Mojtaba Zarei

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

20 Scopus citations

Abstract

Neuroimaging and genetics studies have advanced our understanding of the neurobiology of sleep and its disorders. However, individual studies usually have limitations to identifying consistent and reproducible effects, including modest sample sizes, heterogeneous clinical characteristics and varied methodologies. These issues call for a large-scale multi-centre effort in sleep research, in order to increase the number of samples, and harmonize the methods of data collection, preprocessing and analysis using pre-registered well-established protocols. The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium provides a powerful collaborative framework for combining datasets across individual sites. Recently, we have launched the ENIGMA-Sleep working group with the collaboration of several institutes from 15 countries to perform large-scale worldwide neuroimaging and genetics studies for better understanding the neurobiology of impaired sleep quality in population-based healthy individuals, the neural consequences of sleep deprivation, pathophysiology of sleep disorders, as well as neural correlates of sleep disturbances across various neuropsychiatric disorders. In this introductory review, we describe the details of our currently available datasets and our ongoing projects in the ENIGMA-Sleep group, and discuss both the potential challenges and opportunities of a collaborative initiative in sleep medicine.

Original languageEnglish
Article numbere13347
JournalJournal of Sleep Research
Volume30
Issue number6
DOIs
StatePublished - Dec 2021
Externally publishedYes

Funding

FundersFunder number
Université de Liège
German Federal State of Mecklenburg‐West Pomerania
Dagmar Dolby Family Fund
Helse Midt-Norge
Fresenius Medical Care North America
Federal State of Mecklenburg-West Pomerania
National Funds FNRS
Wallonia‐Brussels Federation
Erasmus Universiteit Rotterdam
German Federal State of Mecklenburg-West Pomerania
Norges Teknisk-Naturvitenskapelige Universitet
Research Institute for Diseases in the Elderly
Federal State of Mecklenburg‐West Pomerania
Erasmus Medisch Centrum
Max-Planck-Gesellschaft
European Commission
Ministerie van Volksgezondheid, Welzijn en Sport
German Restless Legs Syndrome Society
ZonMw
European Research Council
European Regional Development Fund
FNRS-Belgium
Fondation Simone et Pierre Clerdent
Ministerie van Onderwijs, Cultuur en Wetenschap
Respiratory Health Association
Walloon excellence in life sciences and biotechnologyWELBIO‐CR‐2010‐06E
Horizon 2020 Framework Programme757763
FNRS‐Belgium3.4516.11
Australian Research Council09/14‐03
National Institute on AgingZ01AG000914, R01AG056531
Wallonia-Brussels FederationARC - 09/14-03
Riksbankens JubileumsfondP15‐0310:1
Deutsche ForschungsgemeinschaftGR 1912/13‐1
National Institute of Mental HealthK01MH117442

    Keywords

    • ENIGMA consortium
    • large-scale collaboration
    • neurogenetics
    • neuroimaging
    • sleep

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