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

Journal of Sleep Research2021Vol. 30(6), pp. e13347–e13347

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Masoud Tahmasian, André Alemán, Ole A. Andreassen, Zahra Arab, Marion Baillet, Francesco Benedetti, Tom Bresser, Joanna K. Bright, Michael W.L. Chee, Daphné 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. Grabe, Nynke 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 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, Timothy J. Silk, Kang Sim, Hanne Smevik, Jair C. Soares, Kai Spiegelhalder, Dan J. Stein, Puneet Talwar, Sandra Tamm, Giana I. Teresi, Sofie L. Valk, Eus J.W. Van Someren, Gilles Vandewalle, Maxime Van Egroo, Henry Völzke, Martin Walter, Rick Wassing, Frederik D. Weber, Antoine Weihs, Lars T. Westlye, Margaret J. Wright, Mon‐Ju Wu, Nathalia Zak, Mojtaba Zarei

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.

Citations Over TimeTop 10% of 2021 papers

Abstract

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