Developmental Changes in Sleep Spindle Characteristics and Sigma Power across Early Childhood

Sleep spindles, a prominent feature of the non-rapid eye movement (NREM) sleep electroencephalogram (EEG), are linked to cognitive abilities. Early childhood is a time of rapid cognitive and neurophysiological maturation; however, little is known about developmental changes in sleep spindles. In thi...

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Main Authors: Ian J. McClain, Caroline Lustenberger, Peter Achermann, Jonathan M. Lassonde, Salome Kurth, Monique K. LeBourgeois
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Neural Plasticity
Online Access:http://dx.doi.org/10.1155/2016/3670951
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author Ian J. McClain
Caroline Lustenberger
Peter Achermann
Jonathan M. Lassonde
Salome Kurth
Monique K. LeBourgeois
author_facet Ian J. McClain
Caroline Lustenberger
Peter Achermann
Jonathan M. Lassonde
Salome Kurth
Monique K. LeBourgeois
author_sort Ian J. McClain
collection DOAJ
description Sleep spindles, a prominent feature of the non-rapid eye movement (NREM) sleep electroencephalogram (EEG), are linked to cognitive abilities. Early childhood is a time of rapid cognitive and neurophysiological maturation; however, little is known about developmental changes in sleep spindles. In this study, we longitudinally examined trajectories of multiple sleep spindle characteristics (i.e., spindle duration, frequency, integrated spindle amplitude, and density) and power in the sigma frequency range (10–16 Hz) across ages 2, 3, and 5 years (n=8; 3 males). At each time point, nocturnal sleep EEG was recorded in-home after 13-h of prior wakefulness. Spindle duration, integrated spindle amplitude, and sigma power increased with age across all EEG derivations (C3A2, C4A1, O2A1, and O1A2; all ps < 0.05). We also found a developmental decrease in mean spindle frequency (p<0.05) but no change in spindle density with increasing age. Thus, sleep spindles increased in duration and amplitude but decreased in frequency across early childhood. Our data characterize early developmental changes in sleep spindles, which may advance understanding of thalamocortical brain connectivity and associated lifelong disease processes. These findings also provide unique insights into spindle ontogenesis in early childhood and may help identify electrophysiological features related to healthy and aberrant brain maturation.
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spelling doaj-art-4111c477dafd4f0cad4f5f67aadcfc252025-02-03T01:32:56ZengWileyNeural Plasticity2090-59041687-54432016-01-01201610.1155/2016/36709513670951Developmental Changes in Sleep Spindle Characteristics and Sigma Power across Early ChildhoodIan J. McClain0Caroline Lustenberger1Peter Achermann2Jonathan M. Lassonde3Salome Kurth4Monique K. LeBourgeois5Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USAChild Development Center, University Children’s Hospital Zurich, 8032 Zurich, SwitzerlandInstitute of Pharmacology and Toxicology, University of Zurich, 8057 Zurich, SwitzerlandDepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USADepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USADepartment of Integrative Physiology, University of Colorado Boulder, Boulder, CO 80309, USASleep spindles, a prominent feature of the non-rapid eye movement (NREM) sleep electroencephalogram (EEG), are linked to cognitive abilities. Early childhood is a time of rapid cognitive and neurophysiological maturation; however, little is known about developmental changes in sleep spindles. In this study, we longitudinally examined trajectories of multiple sleep spindle characteristics (i.e., spindle duration, frequency, integrated spindle amplitude, and density) and power in the sigma frequency range (10–16 Hz) across ages 2, 3, and 5 years (n=8; 3 males). At each time point, nocturnal sleep EEG was recorded in-home after 13-h of prior wakefulness. Spindle duration, integrated spindle amplitude, and sigma power increased with age across all EEG derivations (C3A2, C4A1, O2A1, and O1A2; all ps < 0.05). We also found a developmental decrease in mean spindle frequency (p<0.05) but no change in spindle density with increasing age. Thus, sleep spindles increased in duration and amplitude but decreased in frequency across early childhood. Our data characterize early developmental changes in sleep spindles, which may advance understanding of thalamocortical brain connectivity and associated lifelong disease processes. These findings also provide unique insights into spindle ontogenesis in early childhood and may help identify electrophysiological features related to healthy and aberrant brain maturation.http://dx.doi.org/10.1155/2016/3670951
spellingShingle Ian J. McClain
Caroline Lustenberger
Peter Achermann
Jonathan M. Lassonde
Salome Kurth
Monique K. LeBourgeois
Developmental Changes in Sleep Spindle Characteristics and Sigma Power across Early Childhood
Neural Plasticity
title Developmental Changes in Sleep Spindle Characteristics and Sigma Power across Early Childhood
title_full Developmental Changes in Sleep Spindle Characteristics and Sigma Power across Early Childhood
title_fullStr Developmental Changes in Sleep Spindle Characteristics and Sigma Power across Early Childhood
title_full_unstemmed Developmental Changes in Sleep Spindle Characteristics and Sigma Power across Early Childhood
title_short Developmental Changes in Sleep Spindle Characteristics and Sigma Power across Early Childhood
title_sort developmental changes in sleep spindle characteristics and sigma power across early childhood
url http://dx.doi.org/10.1155/2016/3670951
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