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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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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. |
format | Online Article Text |
id | pubmed-5943340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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