Characterizing sleep spindles in 11,630 individuals from the National Sleep Research Resource.
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Abstract | Sleep spindles are characteristic electroencephalogram (EEG) signatures of stage 2 non-rapid eye movement sleep. Implicated in sleep regulation and cognitive functioning, spindles may represent heritable biomarkers of neuropsychiatric disease. Here we characterize spindles in 11,630 individuals aged 4 to 97 years, as a prelude to future genetic studies. Spindle properties are highly reliable but exhibit distinct developmental trajectories. Across the night, we observe complex patterns of age- and frequency-dependent dynamics, including signatures of circadian modulation. We identify previously unappreciated correlates of spindle activity, including confounding by body mass index mediated by cardiac interference in the EEG. After taking account of these confounds, genetic factors significantly contribute to spindle and spectral sleep traits. Finally, we consider topographical differences and critical measurement issues. Taken together, our findings will lead to an increased understanding of the genetic architecture of sleep spindles and their relation to behavioural and health outcomes, including neuropsychiatric disorders. |
Year of Publication | 2017
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Journal | Nat Commun
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Volume | 8
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Pages | 15930
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Date Published | 2017 06 26
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ISSN | 2041-1723
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DOI | 10.1038/ncomms15930
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PubMed ID | 28649997
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PubMed Central ID | PMC5490197
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Grant list | K24 MH099421 / MH / NIMH NIH HHS / United States
R03 MH108908 / MH / NIMH NIH HHS / United States
R01 HL113338 / HL / NHLBI NIH HHS / United States
R21 MH107855 / MH / NIMH NIH HHS / United States
R35 HL135818 / HL / NHLBI NIH HHS / United States
R24 HL114473 / HL / NHLBI NIH HHS / United States
R01 MH048832 / MH / NIMH NIH HHS / United States
K01 HL135405 / HL / NHLBI NIH HHS / United States
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