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This title appears in the Scientific Report : 2022 

A need for worldwide collaboration in neuroimaging/genetics of sleep research: The ENIGMA-Sleep framework

A need for worldwide collaboration in neuroimaging/genetics of sleep research: The ENIGMA-Sleep framework

Recent neuroimaging and genetic evidence have advanced our under-standing of the neurobiological mechanism of sleep physiology, sleepdisorders and the interplay between sleep and neuropsychiatric disor-ders. However, most conventional individual studies have limitations inidentifying reproducible ef...

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Personal Name(s): Tahmasian, Masoud (Corresponding author)
Contributing Institute: Gehirn & Verhalten; INM-7
Imprint: 2022
Conference: 26th Congress of the European Sleep Research Society, Athen (Greece), 2022-09-27 - 2022-09-30
Document Type: Conference Presentation
Research Program: Multilevel Brain Organization and Variability
Publikationsportal JuSER

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520 |a Recent neuroimaging and genetic evidence have advanced our under-standing of the neurobiological mechanism of sleep physiology, sleepdisorders and the interplay between sleep and neuropsychiatric disor-ders. However, most conventional individual studies have limitations inidentifying reproducible effects due to their small sample sizes, geneticvariability, heterogeneous clinical characteristics, and divergent imag-ing acquisition, preprocessing and analytic methods. Thus, a need for aconsensus multi-centre effort in sleep research is inevitable to increasethe number of samples, and harmonize the methods of data preproces-sing and analysis using the pre-registered unified protocols. Recently,the ENIGMA-Sleep consortium has been launched with the collabora-tion of around 100 scientists across 15 countries to perform large-scaleworldwide neuroimaging and genetics studies in the sleep field. TheENIGMA-Sleep group adopts a‘bottom-up’approach, whereby theinterested researchers can join and suggest/guide a project, rather thanjust contributing to some predetermined set of analyses by sharingdata. Currently, there are several ongoing projects about neural corre-lates of insomnia disorder using structural brain data, the predictiverole of sleep on cognitive performance among population-based sam-ples, predicting brain age gap following sleep deprivation, and trans-diagnostic neural correlates of sleep across mental illnesses. 
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