Literature DB >> 31170459

A simple sleep EEG marker in childhood predicts brain myelin 3.5 years later.

Monique K LeBourgeois1, Douglas C Dean2, Sean C L Deoni3, Malcolm Kohler4, Salome Kurth5.   

Abstract

Epidemiological research reveals that insufficient sleep in children has negative cognitive and emotional consequences; however, the physiological underpinnings of these observations remain understudied. We tested the hypothesis that the topographical distribution of deep sleep slow wave activity during the childhood predicts brain white matter microstructure (myelin) 3.5 y later. Healthy children underwent sleep high-density EEG at baseline (n = 13; ages 2.4-8.0 y) and follow-up (n = 14; ages 5.5-12.2 y). At follow-up, myelin (myelin water fraction) and cortical morphology were also quantified. Our investigation revealed 3 main findings. (1) The Frontal/Occipital (F/O)-ratio at baseline strongly predicted whole brain myelin at follow-up. (2) At follow-up, the F/O-ratio was only minimally (negatively) linked to brain myelin. (3) Cortical morphology was not related to the F/O-ratio, neither at baseline nor at follow-up. Our results support the hypothesis that during child development EEG markers during sleep longitudinally predict brain myelin content. Data extend previous findings reporting a link between EEG markers of sleep need and cortical morphology, by supporting the hypothesis that sleep is a necessary component to underlying processes of brain, and specifically myelin, maturation. In line with the overarching theory that sleep contributes to neurodevelopmental processes, it remains to be investigated whether chronic sleep loss negatively affects white matter myelin microstructure growth during sensitive periods of development.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Development; Early marker; High density EEG; Myelin; Slow wave activity; Topography

Mesh:

Substances:

Year:  2019        PMID: 31170459      PMCID: PMC6688908          DOI: 10.1016/j.neuroimage.2019.05.072

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  63 in total

1.  Longitudinal mapping of cortical thickness and brain growth in normal children.

Authors:  Elizabeth R Sowell; Paul M Thompson; Christiana M Leonard; Suzanne E Welcome; Eric Kan; Arthur W Toga
Journal:  J Neurosci       Date:  2004-09-22       Impact factor: 6.167

2.  Vesicular glutamate release from axons in white matter.

Authors:  Maria Kukley; Estibaliz Capetillo-Zarate; Dirk Dietrich
Journal:  Nat Neurosci       Date:  2007-02-11       Impact factor: 24.884

3.  Human Hippocampal Structure: A Novel Biomarker Predicting Mnemonic Vulnerability to, and Recovery from, Sleep Deprivation.

Authors:  Jared M Saletin; Andrea N Goldstein-Piekarski; Stephanie M Greer; Shauna Stark; Craig E Stark; Matthew P Walker
Journal:  J Neurosci       Date:  2016-02-24       Impact factor: 6.167

4.  Cortical surface-based analysis. I. Segmentation and surface reconstruction.

Authors:  A M Dale; B Fischl; M I Sereno
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

5.  Processes of change in brain and cognitive development.

Authors:  Mark H Johnson; Yuko Munakata
Journal:  Trends Cogn Sci       Date:  2005-03       Impact factor: 20.229

6.  Neurodevelopmental trajectories of the human cerebral cortex.

Authors:  Philip Shaw; Noor J Kabani; Jason P Lerch; Kristen Eckstrand; Rhoshel Lenroot; Nitin Gogtay; Deanna Greenstein; Liv Clasen; Alan Evans; Judith L Rapoport; Jay N Giedd; Steve P Wise
Journal:  J Neurosci       Date:  2008-04-02       Impact factor: 6.167

Review 7.  Developmental changes in sleep and their relationships to psychiatric illnesses.

Authors:  Noemi Tesler; Miriam Gerstenberg; Reto Huber
Journal:  Curr Opin Psychiatry       Date:  2013-11       Impact factor: 4.741

8.  Gleaning multicomponent T1 and T2 information from steady-state imaging data.

Authors:  Sean C L Deoni; Brian K Rutt; Tarunya Arun; Carlo Pierpaoli; Derek K Jones
Journal:  Magn Reson Med       Date:  2008-12       Impact factor: 4.668

9.  Myelin modifications after chronic sleep loss in adolescent mice.

Authors:  Michele Bellesi; John Douglas Haswell; Luisa de Vivo; William Marshall; Patrick H Roseboom; Giulio Tononi; Chiara Cirelli
Journal:  Sleep       Date:  2018-05-01       Impact factor: 5.849

10.  Modeling healthy male white matter and myelin development: 3 through 60months of age.

Authors:  Douglas C Dean; Jonathan O'Muircheartaigh; Holly Dirks; Nicole Waskiewicz; Katie Lehman; Lindsay Walker; Michelle Han; Sean C L Deoni
Journal:  Neuroimage       Date:  2013-10-02       Impact factor: 6.556

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  4 in total

1.  Spatio-temporal properties of sleep slow waves and implications for development.

Authors:  Igor Timofeev; Sarah F Schoch; Monique K LeBourgeois; Reto Huber; Brady A Riedner; Salome Kurth
Journal:  Curr Opin Physiol       Date:  2020-01-28

Review 2.  Nonrapid eye movement sleep characteristics and relations with motor, memory, and cognitive ability from infancy to preadolescence.

Authors:  Jessica M Page; Lauren S Wakschlag; Elizabeth S Norton
Journal:  Dev Psychobiol       Date:  2021-12       Impact factor: 3.038

3.  Cortical thinning and sleep slow wave activity reductions mediate age-related improvements in cognition during mid-late adolescence.

Authors:  Ju Lynn Ong; S Azrin Jamaluddin; Jesisca Tandi; Nicholas I Y N Chee; Ruth L F Leong; Reto Huber; June C Lo; Michael W L Chee
Journal:  Sleep       Date:  2022-01-11       Impact factor: 5.849

4.  A skin-conformable wireless sensor to objectively quantify symptoms of pruritus.

Authors:  Keum San Chun; Youn J Kang; Jong Yoon Lee; Morgan Nguyen; Brad Lee; Rachel Lee; Han Heul Jo; Emily Allen; Hope Chen; Jungwoo Kim; Lian Yu; Xiaoyue Ni; KunHyuck Lee; Hyoyoung Jeong; JooHee Lee; Yoonseok Park; Ha Uk Chung; Alvin W Li; Peter A Lio; Albert F Yang; Anna B Fishbein; Amy S Paller; John A Rogers; Shuai Xu
Journal:  Sci Adv       Date:  2021-04-30       Impact factor: 14.136

  4 in total

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