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

Masoud TahmasianAndré AlemanOle Andreas AndreassenZahra ArabMarion BailletFrancesco BenedettiTom BresserJoanna BrightMichael W L CheeDaphne ChylinskiWei ChengMichele DeantoniMartin DreslerSimon B EickhoffClaudia R EickhoffTorbjørn ElvsåshagenJianfeng FengJessica C Foster-DingleyHabib GanjgahiHans J GrabeNynke A GroenewoldTiffany C HoSeung Bong HongJosselin HouenouBenson IrunguNeda JahanshadHabibolah KhazaieHosung KimEkaterina KoshmanovaDesi KocevskaPeter KochunovOti Lakbila-KamalJeanne LeerssenMeng LiAnnemarie I LuikVincenzo MutoJustinas NarbutasGustav NilsonneVictoria S O'CallaghanAlexander OlsenRicardo S OsorioSara PolettiGovinda PoudelJoyce E ReesenLiesbeth RenemanMathilde ReytDieter RiemannIvana RosenzweigMasoumeh RostampourAmin SaberiJulian SchielChristina SchmidtAnouk SchranteeEmma SciberrasTim J SilkKang SimHanne SmevikJair C SoaresKai SpiegelhalderDan J SteinPuneet TalwarSandra TammGiana L TeresiSofie Louise ValkEus J W Van SomerenGilles VandewalleMaxime Van EgrooHenry VölzkeMartin WalterRick WassingFrederik D WeberAntoine WeihsLars Tjelta WestlyeMargaret J WrightMon-Ju WuNathalia ZakMojtaba Zarei
Published in: Journal of sleep research (2021)
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.
Keyphrases
  • sleep quality
  • physical activity
  • depressive symptoms
  • systematic review
  • quality improvement
  • risk assessment
  • climate change
  • randomized controlled trial
  • single cell
  • rna seq
  • data analysis
  • high density