Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood

Age-related structural and functional changes that occur during brain development are critical for cortical development and functioning. Previous electroencephalography (EEG) and magnetoencephalography (MEG) studies have highlighted the utility of power spectra analyses and have uncovered age-relate...

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Main Authors: Marco McSweeney, Santiago Morales, Emilio A. Valadez, George A. Buzzell, Lydia Yoder, William P. Fifer, Nicolò Pini, Lauren C. Shuffrey, Amy J. Elliott, Joseph R. Isler, Nathan A. Fox
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:NeuroImage
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923000733
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author Marco McSweeney
Santiago Morales
Emilio A. Valadez
George A. Buzzell
Lydia Yoder
William P. Fifer
Nicolò Pini
Lauren C. Shuffrey
Amy J. Elliott
Joseph R. Isler
Nathan A. Fox
author_facet Marco McSweeney
Santiago Morales
Emilio A. Valadez
George A. Buzzell
Lydia Yoder
William P. Fifer
Nicolò Pini
Lauren C. Shuffrey
Amy J. Elliott
Joseph R. Isler
Nathan A. Fox
author_sort Marco McSweeney
collection DOAJ
description Age-related structural and functional changes that occur during brain development are critical for cortical development and functioning. Previous electroencephalography (EEG) and magnetoencephalography (MEG) studies have highlighted the utility of power spectra analyses and have uncovered age-related trends that reflect perceptual, cognitive, and behavioural states as well as their underlying neurophysiology. The aim of the current study was to investigate age-related change in aperiodic and periodic alpha activity across a large sample of pre- and school-aged children (N = 502, age range 4 -11-years-of-age). Power spectra were extracted from baseline EEG recordings (eyes closed, eyes open) for each participant and parameterized into aperiodic activity to derive the offset and exponent parameters and periodic alpha oscillatory activity to derive the alpha peak frequency and the associated power estimates. Multilevel models were run to investigate age-related trends and condition-dependent changes for each of these measures. We found quadratic age-related effects for both the aperiodic offset and exponent. In addition, we observed increases in periodic alpha peak frequency as a function of age. Aperiodic measures and periodic alpha power were larger in magnitude during eyes closed compared to the eyes open baseline condition. Taken together, these results advance our understanding of the maturational patterns/trajectories of brain development during early- to middle-childhood.
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spelling doaj.art-99cfb4e887d04b0b96d34196d3e93d5b2023-02-08T04:16:34ZengElsevierNeuroImage1095-95722023-04-01269119925Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhoodMarco McSweeney0Santiago Morales1Emilio A. Valadez2George A. Buzzell3Lydia Yoder4William P. Fifer5Nicolò Pini6Lauren C. Shuffrey7Amy J. Elliott8Joseph R. Isler9Nathan A. Fox10Department of Human Development and Quantitative Methodology, University of Maryland, 3304 Benjamin Building, College Park, MD 20742, USA; Corresponding author.Department of Psychology, University of Southern California, USADepartment of Human Development and Quantitative Methodology, University of Maryland, 3304 Benjamin Building, College Park, MD 20742, USADepartment of Psychology and the Center for Children and Families, Florida International University, USADepartment of Human Development and Quantitative Methodology, University of Maryland, 3304 Benjamin Building, College Park, MD 20742, USADepartment of Psychiatry, Columbia University Irving Medical Center, New York, USA; Department of Paediatrics, Columbia University Irving Medical Center, New York, USA; Division of Developmental Neuroscience, New York State Psychiatric Institute, USADepartment of Psychiatry, Columbia University Irving Medical Center, New York, USA; Division of Developmental Neuroscience, New York State Psychiatric Institute, USADepartment of Psychiatry, Columbia University Irving Medical Center, New York, USA; Division of Developmental Neuroscience, New York State Psychiatric Institute, USAAvera Research Institute, USA; Department of Paediatrics, University of South Dakota School of Medicine, USADepartment of Paediatrics, Columbia University Irving Medical Center, New York, USADepartment of Human Development and Quantitative Methodology, University of Maryland, 3304 Benjamin Building, College Park, MD 20742, USAAge-related structural and functional changes that occur during brain development are critical for cortical development and functioning. Previous electroencephalography (EEG) and magnetoencephalography (MEG) studies have highlighted the utility of power spectra analyses and have uncovered age-related trends that reflect perceptual, cognitive, and behavioural states as well as their underlying neurophysiology. The aim of the current study was to investigate age-related change in aperiodic and periodic alpha activity across a large sample of pre- and school-aged children (N = 502, age range 4 -11-years-of-age). Power spectra were extracted from baseline EEG recordings (eyes closed, eyes open) for each participant and parameterized into aperiodic activity to derive the offset and exponent parameters and periodic alpha oscillatory activity to derive the alpha peak frequency and the associated power estimates. Multilevel models were run to investigate age-related trends and condition-dependent changes for each of these measures. We found quadratic age-related effects for both the aperiodic offset and exponent. In addition, we observed increases in periodic alpha peak frequency as a function of age. Aperiodic measures and periodic alpha power were larger in magnitude during eyes closed compared to the eyes open baseline condition. Taken together, these results advance our understanding of the maturational patterns/trajectories of brain development during early- to middle-childhood.http://www.sciencedirect.com/science/article/pii/S1053811923000733EEGAperiodic activityPeriodic alpha oscillationsFunctional brain developmentSpecparamFOOOF
spellingShingle Marco McSweeney
Santiago Morales
Emilio A. Valadez
George A. Buzzell
Lydia Yoder
William P. Fifer
Nicolò Pini
Lauren C. Shuffrey
Amy J. Elliott
Joseph R. Isler
Nathan A. Fox
Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood
NeuroImage
EEG
Aperiodic activity
Periodic alpha oscillations
Functional brain development
Specparam
FOOOF
title Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood
title_full Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood
title_fullStr Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood
title_full_unstemmed Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood
title_short Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood
title_sort age related trends in aperiodic eeg activity and alpha oscillations during early to middle childhood
topic EEG
Aperiodic activity
Periodic alpha oscillations
Functional brain development
Specparam
FOOOF
url http://www.sciencedirect.com/science/article/pii/S1053811923000733
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