2023
DOI: 10.1016/j.neuroimage.2023.119925
|View full text |Cite
|
Sign up to set email alerts
|

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

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

15
30
3

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 16 publications
(48 citation statements)
references
References 57 publications
15
30
3
Order By: Relevance
“…Modeled developmental trajectories of the aperiodic slope showed a qualitatively gradual increase over the first year. These findings contrast with consistent reports of decreasing offset and slope across child and adulthood [13][14][15][16] , and likely reflect the known increases in brain volume and synaptogenesis occurring across the first year of life.…”
Section: Aperiodic Activity Increases Most During First Year Of Lifecontrasting
confidence: 99%
See 2 more Smart Citations
“…Modeled developmental trajectories of the aperiodic slope showed a qualitatively gradual increase over the first year. These findings contrast with consistent reports of decreasing offset and slope across child and adulthood [13][14][15][16] , and likely reflect the known increases in brain volume and synaptogenesis occurring across the first year of life.…”
Section: Aperiodic Activity Increases Most During First Year Of Lifecontrasting
confidence: 99%
“…Several age-dependent findings in our study contrast with previous longitudinal studies of child and adulthood. First, we observe increases in both aperiodic offset and slope, especially during the first year, whereas decreases in both measures are observed starting as early as 4 years of age and continue to decrease with adulthood [13][14][15][16] . Second, while expected shifts in the dominant peak from the theta to alpha range were observed between 5 to 44 months, in the 2-4 months age bin, a 9.5Hz peak was also transiently observed.…”
Section: Discussionmentioning
confidence: 78%
See 1 more Smart Citation
“…Because the peak and range of alpha oscillations may vary across age and individuals (Bazanova & Vernon, 2014; Sander et al., 2012), in an exploratory analysis, we employed novel ways of characterizing the power spectrum by using specparam (Donoghue et al., 2022). The specparam algorithm removes the 1/f component of the spectrum and uses an iterative procedure to identify peaks (e.g., alpha peaks; see McSweeney et al., 2023). Path analyses were conducted as with the traditionally computed alpha.…”
Section: Resultsmentioning
confidence: 99%
“…The specparam algorithm removes the 1/f component of the spectrum and TA B L E 3 Maternal internalizing symptoms at the prenatal period predicting children's frontal alpha asymmetry and internalizing/externalizing problems at 5, 7, 9, or 11 years of age (n = 415). uses an iterative procedure to identify peaks (e.g., alpha peaks; see McSweeney et al, 2023). Path analyses were conducted as with the traditionally computed alpha.…”
Section: Exploratory Analysesmentioning
confidence: 99%