| Literature DB >> 33913199 |
Masoud Tahmasian1, André Aleman2, Ole A Andreassen3, Zahra Arab1, Marion Baillet4, Francesco Benedetti5,6, Tom Bresser7,8, Joanna Bright9,10, Michael W L Chee11, Daphne Chylinski4, Wei Cheng12,13, Michele Deantoni4, Martin Dresler14, Simon B Eickhoff15,16, Claudia R Eickhoff17,18, Torbjørn Elvsåshagen19,20, Jianfeng Feng12,13,21, Jessica C Foster-Dingley7, Habib Ganjgahi22, Hans J Grabe23,24, Nynke A Groenewold25, Tiffany C Ho26, Seung Bong Hong27, Josselin Houenou28,29,30, Benson Irungu31, Neda Jahanshad9, Habibolah Khazaie32, Hosung Kim33, Ekaterina Koshmanova4, Desi Kocevska7, Peter Kochunov34, Oti Lakbila-Kamal7,8, Jeanne Leerssen7,8, Meng Li35,36,37, Annemarie I Luik38,39, Vincenzo Muto4, Justinas Narbutas4, Gustav Nilsonne40,41, Victoria S O'Callaghan42, Alexander Olsen43,44, Ricardo S Osorio45,46, Sara Poletti5,6, Govinda Poudel47, Joyce E Reesen7,8, Liesbeth Reneman48, Mathilde Reyt4,49, Dieter Riemann50, Ivana Rosenzweig51,52, Masoumeh Rostampour32, Amin Saberi1, Julian Schiel50, Christina Schmidt4,49, Anouk Schrantee48, Emma Sciberras53,54,55, Tim J Silk53,54,55, Kang Sim56, Hanne Smevik44, Jair C Soares31, Kai Spiegelhalder50, Dan J Stein25, Puneet Talwar4, Sandra Tamm40,41,57, Giana L Teresi58, Sofie L Valk15,16,59, Eus Van Someren7,8,60, Gilles Vandewalle4, Maxime Van Egroo4, Henry Völzke61,62, Martin Walter35,36,37,63,64,36, Rick Wassing65, Frederik D Weber14, Antoine Weihs23, Lars Tjelta Westlye3,66,67, Margaret J Wright42,68, Mon-Ju Wu69, Nathalia Zak3, Mojtaba Zarei1.
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.Entities:
Keywords: ENIGMA consortium; large-scale collaboration; neurogenetics; neuroimaging; sleep
Mesh:
Year: 2021 PMID: 33913199 PMCID: PMC8803276 DOI: 10.1111/jsr.13347
Source DB: PubMed Journal: J Sleep Res ISSN: 0962-1105 Impact factor: 3.981