Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study

Abstract The topographic distribution of sleep EEG power is a reflection of brain structure and function. The goal of this study was to examine the degree to which genes contribute to sleep EEG topography during adolescence, a period of brain restructuring and maturation. We recorded high-density sl...

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Autores principales:	Andjela Markovic, Peter Achermann, Thomas Rusterholz, Leila Tarokh
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9a732348380844a3b8b29f2b9bffa1f5
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spelling	oai:doaj.org-article:9a732348380844a3b8b29f2b9bffa1f52021-12-02T11:40:15ZHeritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study10.1038/s41598-018-25590-72045-2322https://doaj.org/article/9a732348380844a3b8b29f2b9bffa1f52018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25590-7https://doaj.org/toc/2045-2322Abstract The topographic distribution of sleep EEG power is a reflection of brain structure and function. The goal of this study was to examine the degree to which genes contribute to sleep EEG topography during adolescence, a period of brain restructuring and maturation. We recorded high-density sleep EEG in monozygotic (MZ; n = 28) and dizygotic (DZ; n = 22) adolescent twins (mean age = 13.2 ± 1.1 years) at two time points 6 months apart. The topographic distribution of normalized sleep EEG power was examined for the frequency bands delta (1–4.6 Hz) to gamma 2 (34.2–44 Hz) during NREM and REM sleep. We found highest heritability values in the beta band for NREM and REM sleep (0.44 ≤ h2 ≤ 0.57), while environmental factors shared amongst twin siblings accounted for the variance in the delta to sigma bands (0.59 ≤ c2 ≤ 0.83). Given that both genetic and environmental factors are reflected in sleep EEG topography, our results suggest that topography may provide a rich metric by which to understand brain function. Furthermore, the frequency specific parsing of the influence of genetic from environmental factors on topography suggests functionally distinct networks and reveals the mechanisms that shape these networks.Andjela MarkovicPeter AchermannThomas RusterholzLeila TarokhNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-13 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Andjela Markovic Peter Achermann Thomas Rusterholz Leila Tarokh Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study
description	Abstract The topographic distribution of sleep EEG power is a reflection of brain structure and function. The goal of this study was to examine the degree to which genes contribute to sleep EEG topography during adolescence, a period of brain restructuring and maturation. We recorded high-density sleep EEG in monozygotic (MZ; n = 28) and dizygotic (DZ; n = 22) adolescent twins (mean age = 13.2 ± 1.1 years) at two time points 6 months apart. The topographic distribution of normalized sleep EEG power was examined for the frequency bands delta (1–4.6 Hz) to gamma 2 (34.2–44 Hz) during NREM and REM sleep. We found highest heritability values in the beta band for NREM and REM sleep (0.44 ≤ h2 ≤ 0.57), while environmental factors shared amongst twin siblings accounted for the variance in the delta to sigma bands (0.59 ≤ c2 ≤ 0.83). Given that both genetic and environmental factors are reflected in sleep EEG topography, our results suggest that topography may provide a rich metric by which to understand brain function. Furthermore, the frequency specific parsing of the influence of genetic from environmental factors on topography suggests functionally distinct networks and reveals the mechanisms that shape these networks.
format	article
author	Andjela Markovic Peter Achermann Thomas Rusterholz Leila Tarokh
author_facet	Andjela Markovic Peter Achermann Thomas Rusterholz Leila Tarokh
author_sort	Andjela Markovic
title	Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study
title_short	Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study
title_full	Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study
title_fullStr	Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study
title_full_unstemmed	Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study
title_sort	heritability of sleep eeg topography in adolescence: results from a longitudinal twin study
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/9a732348380844a3b8b29f2b9bffa1f5
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Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study

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