Co-Increasing Neuronal Noise and Beta Power in the Developing Brain

By Wei He, Thomas Donoghue, P. Sowman, R. Seymour, Jon Brock, Stephen Crain, Bradley Voytek, Arjan Hillebrand. 2019

Subfields: Cognitive Neuroscience, Developmental Neuroscience

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In Cognitive Neuroscience

In Developmental Neuroscience

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Citations in the corpus

Revolutionizing Pediatric Neurophysiology With Magnetoencephalography (2026, unknown): “…the RS power spectrum in order to accurately characterize RS maturational changes separately for aperiodic and periodic power (Donoghue, Dominguez, and Voytek 2020; Ostlund et al. 2022; He et al. 2019), with power values in brain space preferred to those in sensor space (Donoghue et al. 2022).”
Resting-state periodic and aperiodic brain oscillations from birth to preschool years: Aperiodic maturity predicts developmental course (2026, unknown): “Studies have observed an age-related flattening of RS power spectra from infancy to adolescence (Tran, 2020; Schawor-onkow and Voytek, 2021; Karalunas, 2022; He et al., 2019; Waschke et al., 2017; Voytek, 2015; Merkin, 2023; Donoghue, 2025).”
Confirmation of a Useful Dark‐Room Resting‐State Procedure: Periodic and Aperiodic MEG Activity in Children (2026, unknown): “He et al. (2019) obtained source-space measures but then computed a single aperiodic measure, averaging across all sources.”
Lifespan brain age prediction based on multiple EEG oscillatory features and sparse group lasso (2025, unknown): “Similar patterns have also emerged when considering both adults and children, with exponent and oﬀset negatively correlated with age (He et al., 2019), and adults have higher center frequencies of the α peak than children as shown in Figure 4E, indicating higher cortical maturity (Marshall et al.,…”
Exploring Background Aperiodic Electroencephalography (EEG) Activity in the Bucharest Early Intervention Project (2024, unknown): “Even though most of the literature describes age-related linear changes across age (e.g., Cellier et al., 2021; Dave et al., 2018; W.”
Aperiodic EEG and 7T MRSI evidence for maturation of E/I balance supporting the development of working memory through adolescence (2024, background): “Furthermore, recent work has associated the flattening of the aperiodic slope to a reduction in the autocorrelation of brain activity, allowing for more efficient information processing (He, 2014; He et al., 2019).”
Age-related trends in aperiodic EEG activity and alpha oscillations during early- to middle-childhood (2023, background): “These findings may at first appear somewhat surprising given that previous developmental studies comprising participants (or sub-populations) of similar age have shown linear decreases in exponent magnitude with increases in age (Cellier et al., 2021; Dave et al., 2018; Donoghue et al., 2020a, 2020b”
Predicting Math Ability Using Working Memory, Number Sense, and Neurophysiology in Children and Adults (2022, background): “However, more and more evidence has arisen that shows that this activity contains inter-individual importance for behavior, and to health and disease (He et al., 2019; Molina et al., 2020; Robertson et al., 2019; Voytek et al., 2015).”
Globally elevated excitation–inhibition ratio in children with autism spectrum disorder and below-average intelligence (2021, background): “The developmental flattening of the spectral slope has been previously observed in TD infants [25], children [20, 21], and adolescents [24] and may reflect protracted maturational changes that are common for both TD and ASD Table 2 Spearman correlations between the grand average”
Longitudinal age- and sex-related change in background aperiodic activity during early adolescence (2021, background): “…electrocorticographic (ECoG) and MEG recordings during different stages of postnatal animal (Zhang et al., 2011) and human brain development (Cellier et al., 2021; Dave et al., 2018; He et al., 2019; Voytek et al., 2015) including infants over the first year of life (Schaworonkow and Voytek, 2021).”
Separating Neural Oscillations from Aperiodic 1/f Activity: Challenges and Recommendations (2021, background): “For example, the 1/f exponent was shown to change with task (Waschke et al., 2021), age (He et al., 2019; Schaworonkow & Voytek, 2021; Voytek et al., 2015), and disease (Molina et al., 2020; Robertson et al., 2019) and it decreases with cortical depth (Halgren et al., 2021).”
Decomposing the role of alpha oscillations during brain maturation (2020, background): “flattening of the aperiodic slope (He et al., 2019).”