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000891692 1001_ $$0P:(DE-HGF)0$$aTahmasian, Masoud$$b0$$eCorresponding author
000891692 245__ $$aENIGMA-Sleep: challenges, opportunities, and the road map
000891692 260__ $$aOxford [u.a.]$$bWiley-Blackwell$$c2021
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000891692 520__ $$aNeuroimaging 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-center 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 on 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.
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