Premium
ENIGMA‐Sleep: Challenges, opportunities, and the road map
Author(s) -
Tahmasian Masoud,
Aleman André,
Andreassen Ole A.,
Arab Zahra,
Baillet Marion,
Benedetti Francesco,
Bresser Tom,
Bright Joanna,
Chee Michael W.L.,
Chylinski Daphne,
Cheng Wei,
Deantoni Michele,
Dresler Martin,
Eickhoff Simon B.,
Eickhoff Claudia R.,
Elvsåshagen Torbjørn,
Feng Jianfeng,
FosterDingley Jessica C.,
Ganjgahi Habib,
Grabe Hans J.,
Groenewold Nynke A.,
Ho Tiffany C.,
Bong Hong Seung,
Houenou Josselin,
Irungu Benson,
Jahanshad Neda,
Khazaie Habibolah,
Kim Hosung,
Koshmanova Ekaterina,
Kocevska Desi,
Kochunov Peter,
LakbilaKamal Oti,
Leerssen Jeanne,
Li Meng,
Luik Annemarie I.,
Muto Vincenzo,
Narbutas Justinas,
Nilsonne Gustav,
O’Callaghan Victoria S.,
Olsen Alexander,
Osorio Ricardo S.,
Poletti Sara,
Poudel Govinda,
Reesen Joyce E.,
Reneman Liesbeth,
Reyt Mathilde,
Riemann Dieter,
Rosenzweig Ivana,
Rostampour Masoumeh,
Saberi Amin,
Schiel Julian,
Schmidt Christina,
Schrantee Anouk,
Sciberras Emma,
Silk Tim J.,
Sim Kang,
Smevik Hanne,
Soares Jair C.,
Spiegelhalder Kai,
Stein Dan J.,
Talwar Puneet,
Tamm Sandra,
Teresi Giana l.,
Valk Sofie L.,
Someren Eus,
Vandewalle Gilles,
Van Egroo Maxime,
Völzke Henry,
Walter Martin,
Wassing Rick,
Weber Frederik D.,
Weihs Antoine,
Westlye Lars Tjelta,
Wright Margaret J.,
Wu MonJu,
Zak Nathalia,
Zarei Mojtaba
Publication year - 2021
Publication title -
journal of sleep research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.297
H-Index - 117
eISSN - 1365-2869
pISSN - 0962-1105
DOI - 10.1111/jsr.13347
Subject(s) - neuroimaging , sleep (system call) , psychology , sleep deprivation , population , neuroscience , data science , psychiatry , medicine , computer science , circadian rhythm , environmental health , operating system
Summary 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.