Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects

The ultrafast spatiotemporal dynamics of large-scale neural networks can be examined using resting-state electroencephalography (EEG) microstates, representing transient periods of synchronized neural activity that evolve dynamically over time. In adults, four canonical microstates have been shown t...

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Main Authors: Armen Bagdasarov, Kenneth Roberts, Lucie Bréchet, Denis Brunet, Christoph M. Michel, Michael S. Gaffrey
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Developmental Cognitive Neuroscience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1878929322000779
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author Armen Bagdasarov
Kenneth Roberts
Lucie Bréchet
Denis Brunet
Christoph M. Michel
Michael S. Gaffrey
author_facet Armen Bagdasarov
Kenneth Roberts
Lucie Bréchet
Denis Brunet
Christoph M. Michel
Michael S. Gaffrey
author_sort Armen Bagdasarov
collection DOAJ
description The ultrafast spatiotemporal dynamics of large-scale neural networks can be examined using resting-state electroencephalography (EEG) microstates, representing transient periods of synchronized neural activity that evolve dynamically over time. In adults, four canonical microstates have been shown to explain most topographic variance in resting-state EEG. Their temporal structures are age-, sex- and state-dependent, and are susceptible to pathological brain states. However, no studies have assessed the spatial and temporal properties of EEG microstates exclusively during early childhood, a critical period of rapid brain development. Here we sought to investigate EEG microstates recorded with high-density EEG in a large sample of 103, 4–8-year-old children. Using data-driven k-means cluster analysis, we show that the four canonical microstates reported in adult populations already exist in early childhood. Using multiple linear regressions, we demonstrate that the temporal dynamics of two microstates are associated with age and sex. Source localization suggests that attention- and cognitive control-related networks govern the topographies of the age- and sex-dependent microstates. These novel findings provide unique insights into functional brain development in children captured with EEG microstates.
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spelling doaj.art-d9d6f400c33942cfb7ccc76ffe6061392022-12-22T03:48:15ZengElsevierDevelopmental Cognitive Neuroscience1878-92932022-10-0157101134Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effectsArmen Bagdasarov0Kenneth Roberts1Lucie Bréchet2Denis Brunet3Christoph M. Michel4Michael S. Gaffrey5Department of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC 27708, USA; Corresponding author.Duke Institute for Brain Sciences, Duke University, 308 Research Drive, Durham, NC, USADepartment of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, 1202 Geneva, SwitzerlandDepartment of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, 1202 Geneva, Switzerland; Center for Biomedical Imaging (CIBM) Lausanne, EPFL AVP CP CIBM Station 6, 1015 Lausanne SwitzerlandDepartment of Basic Neurosciences, University of Geneva, Campus Biotech, 9 Chemin des Mines, 1202 Geneva, Switzerland; Center for Biomedical Imaging (CIBM) Lausanne, EPFL AVP CP CIBM Station 6, 1015 Lausanne SwitzerlandDepartment of Psychology & Neuroscience, Duke University, Reuben-Cooke Building, 417 Chapel Drive, Durham, NC 27708, USAThe ultrafast spatiotemporal dynamics of large-scale neural networks can be examined using resting-state electroencephalography (EEG) microstates, representing transient periods of synchronized neural activity that evolve dynamically over time. In adults, four canonical microstates have been shown to explain most topographic variance in resting-state EEG. Their temporal structures are age-, sex- and state-dependent, and are susceptible to pathological brain states. However, no studies have assessed the spatial and temporal properties of EEG microstates exclusively during early childhood, a critical period of rapid brain development. Here we sought to investigate EEG microstates recorded with high-density EEG in a large sample of 103, 4–8-year-old children. Using data-driven k-means cluster analysis, we show that the four canonical microstates reported in adult populations already exist in early childhood. Using multiple linear regressions, we demonstrate that the temporal dynamics of two microstates are associated with age and sex. Source localization suggests that attention- and cognitive control-related networks govern the topographies of the age- and sex-dependent microstates. These novel findings provide unique insights into functional brain development in children captured with EEG microstates.http://www.sciencedirect.com/science/article/pii/S1878929322000779EEG microstatesResting-state networksBrain developmentChildrenAgeSex differences
spellingShingle Armen Bagdasarov
Kenneth Roberts
Lucie Bréchet
Denis Brunet
Christoph M. Michel
Michael S. Gaffrey
Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects
Developmental Cognitive Neuroscience
EEG microstates
Resting-state networks
Brain development
Children
Age
Sex differences
title Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects
title_full Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects
title_fullStr Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects
title_full_unstemmed Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects
title_short Spatiotemporal dynamics of EEG microstates in four- to eight-year-old children: Age- and sex-related effects
title_sort spatiotemporal dynamics of eeg microstates in four to eight year old children age and sex related effects
topic EEG microstates
Resting-state networks
Brain development
Children
Age
Sex differences
url http://www.sciencedirect.com/science/article/pii/S1878929322000779
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