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

Masoud Tahmasian*, Andre 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, Torbjorn Elvsashagen, 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 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

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

2 Citations (Scopus)

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 number13347
Number of pages20
JournalJournal of Sleep Research
DOIs
Publication statusE-pub ahead of print - 28-Apr-2021

Keywords

  • ENIGMA consortium
  • large&#8208
  • scale collaboration
  • neurogenetics
  • neuroimaging
  • sleep

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