Alterations in aperiodic and periodic EEG activity in young children with Down syndrome

Down syndrome (DS) is the most common cause of intellectual disability, yet little is known about the neurobiological pathways leading to cognitive impairments. Electroencephalographic (EEG) measures are commonly used to study neurodevelopmental disorders, but few studies have focused on young children with DS. Here we assess resting state EEG data collected from toddlers/preschoolers with DS (n = 29, age 13-48 months old) and compare their aperiodic and periodic EEG features with both age-matched (n = 29) and developmental-matched (n = 58) comparison groups. DS participants exhibited significantly reduced aperiodic slope, increased periodic theta power, and decreased alpha peak amplitude. A majority of DS participants displayed a prominent peak in the theta range, whereas a theta peak was not present in age-matched participants. Overall, similar findings were also observed when comparing DS and developmental-matched groups, suggesting that EEG differences are not explained by delayed cognitive ability.

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Publication Details

Journal
Neurobiology of Disease
Published
2024-08-22
DOI
https://doi.org/10.1016/j.nbd.2024.106643
Citations
3
Primary Topic
Analog and Mixed-Signal Circuit Design
Type
article
Field-Weighted Citation Impact
0.55

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article

Alterations in aperiodic and periodic EEG activity in young children with Down syndrome

Sophie Hurewitz, McKena Geiger, Nicole Baumer, Katherine G. Pawlowski et al.
3 citations
Neurobiology of Disease
Analog and Mixed-Signal Circuit Design
0.55
article

Alterations in aperiodic and periodic EEG activity in young children with Down syndrome

Sophie Hurewitz, McKena Geiger, Nicole Baumer, Katherine G. Pawlowski, Carol L. Wilkinson
article en
3 citations

Abstract

Down syndrome (DS) is the most common cause of intellectual disability, yet little is known about the neurobiological pathways leading to cognitive impairments. Electroencephalographic (EEG) measures are commonly used to study neurodevelopmental disorders, but few studies have focused on young children with DS. Here we assess resting state EEG data collected from toddlers/preschoolers with DS (n = 29, age 13-48 months old) and compare their aperiodic and periodic EEG features with both age-matched (n = 29) and developmental-matched (n = 58) comparison groups. DS participants exhibited significantly reduced aperiodic slope, increased periodic theta power, and decreased alpha peak amplitude. A majority of DS participants displayed a prominent peak in the theta range, whereas a theta peak was not present in age-matched participants. Overall, similar findings were also observed when comparing DS and developmental-matched groups, suggesting that EEG differences are not explained by delayed cognitive ability.

Neurobiology of DiseaseVol. 200
Boston Children's Hospital (US)
National Institutes of Health
Zero hunger
Openalex Percentile: Top 38%
Analog and Mixed-Signal Circuit Design
0.55
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