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

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 i...

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Autores principales: Markovic, Andjela, Achermann, Peter, Rusterholz, Thomas, Tarokh, Leila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943340/
https://www.ncbi.nlm.nih.gov/pubmed/29743546
http://dx.doi.org/10.1038/s41598-018-25590-7
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author Markovic, Andjela
Achermann, Peter
Rusterholz, Thomas
Tarokh, Leila
author_facet Markovic, Andjela
Achermann, Peter
Rusterholz, Thomas
Tarokh, Leila
author_sort Markovic, Andjela
collection PubMed
description 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 ≤ h(2) ≤ 0.57), while environmental factors shared amongst twin siblings accounted for the variance in the delta to sigma bands (0.59 ≤ c(2) ≤ 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.
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spelling pubmed-59433402018-05-14 Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study Markovic, Andjela Achermann, Peter Rusterholz, Thomas Tarokh, Leila Sci Rep Article 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 ≤ h(2) ≤ 0.57), while environmental factors shared amongst twin siblings accounted for the variance in the delta to sigma bands (0.59 ≤ c(2) ≤ 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. Nature Publishing Group UK 2018-05-09 /pmc/articles/PMC5943340/ /pubmed/29743546 http://dx.doi.org/10.1038/s41598-018-25590-7 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Markovic, Andjela
Achermann, Peter
Rusterholz, Thomas
Tarokh, Leila
Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5943340/
https://www.ncbi.nlm.nih.gov/pubmed/29743546
http://dx.doi.org/10.1038/s41598-018-25590-7
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