Abstract
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.
Original language | English |
---|---|
Article number | e13347 |
Pages (from-to) | 1-20 |
Number of pages | 20 |
Journal | Journal of sleep research |
Volume | 30 |
Issue number | 6 |
Early online date | 28 Apr 2021 |
DOIs | |
Publication status | Published - Dec 2021 |
Keywords
- ENIGMA consortium
- large-scale collaboration
- neurogenetics
- neuroimaging
- sleep
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In: Journal of sleep research, Vol. 30, No. 6, e13347, 12.2021, p. 1-20.
Research output: Contribution to journal › Review article › Academic › peer-review
TY - JOUR
T1 - ENIGMA-Sleep
T2 - Challenges, opportunities, and the road map
AU - ENIGMA Consortium
AU - Tahmasian, Masoud
AU - Aleman, André
AU - Andreassen, Ole A.
AU - Arab, Zahra
AU - Baillet, Marion
AU - Benedetti, Francesco
AU - Bresser, Tom
AU - Bright, Joanna
AU - Chee, Michael W.L.
AU - Chylinski, Daphne
AU - Cheng, Wei
AU - Deantoni, Michele
AU - Dresler, Martin
AU - Eickhoff, Simon B.
AU - Eickhoff, Claudia R.
AU - Elvsåshagen, Torbjørn
AU - Feng, Jianfeng
AU - Foster-Dingley, Jessica C.
AU - Ganjgahi, Habib
AU - Grabe, Hans J.
AU - Groenewold, Nynke A.
AU - Ho, Tiffany C.
AU - Bong Hong, Seung
AU - Houenou, Josselin
AU - Irungu, Benson
AU - Jahanshad, Neda
AU - Khazaie, Habibolah
AU - Kim, Hosung
AU - Koshmanova, Ekaterina
AU - Kocevska, Desi
AU - Kochunov, Peter
AU - Lakbila-Kamal, Oti
AU - Leerssen, Jeanne
AU - Li, Meng
AU - Luik, Annemarie I.
AU - Muto, Vincenzo
AU - Narbutas, Justinas
AU - Nilsonne, Gustav
AU - O’Callaghan, Victoria S.
AU - Olsen, Alexander
AU - Osorio, Ricardo S.
AU - Poletti, Sara
AU - Poudel, Govinda
AU - Reesen, Joyce E.
AU - Reneman, Liesbeth
AU - Reyt, Mathilde
AU - Riemann, Dieter
AU - Rosenzweig, Ivana
AU - Rostampour, Masoumeh
AU - Van Someren, Eus
AU - Saberi, Amin
AU - Schiel, Julian
AU - Schmidt, Christina
AU - Schrantee, Anouk
AU - Sciberras, Emma
AU - Silk, Tim J.
AU - Sim, Kang
AU - Smevik, Hanne
AU - Soares, Jair C.
AU - Spiegelhalder, Kai
AU - Stein, Dan J.
AU - Talwar, Puneet
AU - Tamm, Sandra
AU - Teresi, Giana l.
AU - Valk, Sofie L.
AU - Vandewalle, Gilles
AU - Van Egroo, Maxime
AU - Völzke, Henry
AU - Walter, Martin
AU - Wassing, Rick
AU - Weber, Frederik D.
AU - Weihs, Antoine
AU - Westlye, Lars Tjelta
AU - Wright, Margaret J.
AU - Wu, Mon Ju
AU - Zak, Nathalia
AU - Zarei, Mojtaba
N1 - Funding Information: GN was supported by Riksbankens Jubileumsfond (grant no. P15‐0310:1). SLV was supported by the Otto Hahn award of the Max Planck Society. AO was supported by the Liaison Committee between the Central Norway Regional Health Authority (RHA) and the Norwegian University of Science and Technology (NTNU). GV and CS are funded by National Funds FNRS Scientific Research (FRS‐FNRS Belgium). The research included here was funded by Wallonia‐Brussels Federation (ARC ‐ 09/14‐03), WELBIO/Walloon Excellence in Life Sciences and Biotechnology Grant (WELBIO‐CR‐2010‐06E), FNRS‐Belgium (FRS‐FNRS, F.4513.17 & T.0242.19 & 3.4516.11), University of Liège (ULiège), Fondation Simone et Pierre Clerdent, European Regional Development Fund (Radiomed project), European Research Council (ERC‐Starting Grant ‐ GA 757763). The Rotterdam Study is funded by Erasmus Medical Center and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. TCH is supported by the National Institute of Mental Health (K01MH117442) and the Ray and Dagmar Dolby Family Fund. AW was supported by the Deutsche Forschungsgemeinschaft (DFG, grant number: GR 1912/13‐1). The Study of Health in Pomerania (SHIP) is supported by the German Federal State of Mecklenburg‐West Pomerania. MRI scans have been supported by a joint grant from Siemens Healthineers, Erlangen, Germany and the Federal State of Mecklenburg‐West Pomerania, and PSG assessment was in part supported by the Deutsche RLS e.V. (German Restless Legs Syndrome Society). HJG has received travel grants and speakers honoraria from Fresenius Medical Care, Neuraxpharm, Servier and Janssen Cilag as well as research funding from Fresenius Medical Care. Funding Information: GN was supported by Riksbankens Jubileumsfond (grant no. P15-0310:1). SLV was supported by the Otto Hahn award of the Max Planck Society. AO was supported by the Liaison Committee between the Central Norway Regional Health Authority (RHA) and the Norwegian University of Science and Technology (NTNU). GV and CS are funded by National Funds FNRS Scientific Research (FRS-FNRS Belgium). The research included here was funded by Wallonia-Brussels Federation (ARC - 09/14-03), WELBIO/Walloon Excellence in Life Sciences and Biotechnology Grant (WELBIO-CR-2010-06E), FNRS-Belgium (FRS-FNRS, F.4513.17 & T.0242.19 & 3.4516.11), University of Li?ge (ULi?ge), Fondation Simone et Pierre Clerdent, European Regional Development Fund (Radiomed project), European Research Council (ERC-Starting Grant - GA 757763). The Rotterdam Study is funded by Erasmus Medical Center and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. TCH is supported by the National Institute of Mental Health (K01MH117442) and the Ray and Dagmar Dolby Family Fund. AW was supported by the Deutsche Forschungsgemeinschaft (DFG, grant number: GR 1912/13-1). The Study of Health in Pomerania (SHIP) is supported by the German Federal State of Mecklenburg-West Pomerania. MRI scans have been supported by a joint grant from Siemens Healthineers, Erlangen, Germany and the Federal State of Mecklenburg-West Pomerania, and PSG assessment was in part supported by the Deutsche RLS e.V. (German Restless Legs Syndrome Society). HJG has received travel grants and speakers honoraria from Fresenius Medical Care, Neuraxpharm, Servier and Janssen Cilag as well as research funding from Fresenius Medical Care. Publisher Copyright: © 2021 European Sleep Research Society
PY - 2021/12
Y1 - 2021/12
N2 - 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.
AB - 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.
KW - ENIGMA consortium
KW - large-scale collaboration
KW - neurogenetics
KW - neuroimaging
KW - sleep
UR - http://www.scopus.com/inward/record.url?scp=85105413413&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85105413413&partnerID=8YFLogxK
U2 - https://doi.org/10.1111/jsr.13347
DO - https://doi.org/10.1111/jsr.13347
M3 - Review article
C2 - 33913199
SN - 0962-1105
VL - 30
SP - 1
EP - 20
JO - Journal of sleep research
JF - Journal of sleep research
IS - 6
M1 - e13347
ER -