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...

Full description

Bibliographic Details
Main Authors: Andjela Markovic, Peter Achermann, Thomas Rusterholz, Leila Tarokh
Format: Article
Language:English
Published: Nature Publishing Group 2018-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-018-25590-7
id doaj-9a732348380844a3b8b29f2b9bffa1f5
record_format Article
spelling doaj-9a732348380844a3b8b29f2b9bffa1f52020-12-08T03:42:09ZengNature Publishing GroupScientific Reports2045-23222018-05-018111310.1038/s41598-018-25590-7Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin StudyAndjela Markovic0Peter Achermann1Thomas Rusterholz2Leila Tarokh3University Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of BernInstitute of Pharmacology and Toxicology, University of ZurichUniversity Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of BernUniversity Hospital of Child and Adolescent Psychiatry and Psychotherapy, University of BernAbstract 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.https://doi.org/10.1038/s41598-018-25590-7
collection DOAJ
language English
format Article
sources DOAJ
author Andjela Markovic
Peter Achermann
Thomas Rusterholz
Leila Tarokh
spellingShingle Andjela Markovic
Peter Achermann
Thomas Rusterholz
Leila Tarokh
Heritability of Sleep EEG Topography in Adolescence: Results from a Longitudinal Twin Study
Scientific Reports
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 Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2018-05-01
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.
url https://doi.org/10.1038/s41598-018-25590-7
work_keys_str_mv AT andjelamarkovic heritabilityofsleepeegtopographyinadolescenceresultsfromalongitudinaltwinstudy
AT peterachermann heritabilityofsleepeegtopographyinadolescenceresultsfromalongitudinaltwinstudy
AT thomasrusterholz heritabilityofsleepeegtopographyinadolescenceresultsfromalongitudinaltwinstudy
AT leilatarokh heritabilityofsleepeegtopographyinadolescenceresultsfromalongitudinaltwinstudy
_version_ 1724392398722695168