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| Hauptseite > Publikationsdatenbank > A need for worldwide collaboration in neuroimaging/genetics of sleep research: The ENIGMA-Sleep framework > print |
| Hauptseite > Publikationsdatenbank > A need for worldwide collaboration in neuroimaging/genetics of sleep research: The ENIGMA-Sleep framework > print |
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| 100 | 1 | _ | |a Tahmasian, Masoud |0 P:(DE-Juel1)188400 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a 26th Congress of the European Sleep Research Society |c Athen |d 2022-09-27 - 2022-09-30 |w Greece |
| 245 | _ | _ | |a A need for worldwide collaboration in neuroimaging/genetics of sleep research: The ENIGMA-Sleep framework |
| 260 | _ | _ | |c 2022 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
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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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