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Updated: Apr 2, 2026

Infant Auditory Processing and Event-related Brain Oscillations
Published on: July 1, 2015
Resting-state periodic and aperiodic brain oscillations from birth to preschool years: Aperiodic maturity predicts
Heather L Green1, J Christopher Edgar2, Kylie Mol1
1Lurie Family Foundations MEG Imaging Center, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA.
Insights
A novel Dark-Room resting-state task improves neural activity measurement in young children. More mature brain function predicts better developmental outcomes, aiding early clinical assessment.
Area of Science:
- Neuroscience
- Developmental Psychology
- Biomedical Engineering
Background:
- Establishing maturation trajectories of resting-state neural activity from infancy to preschool is crucial for clinical assessment and intervention.
- This study investigated regional brain differences in resting-state activity and their association with behavior in 107 young children.
Purpose of the Study:
- To evaluate the superiority of an adapted Dark-Room eyes-open condition over a standard Video-On condition for magnetoencephalography.
- To examine regional brain differences in resting-state neural activity maturation.
- To investigate associations between resting-state measures and behavior in young children.
Main Methods:
- Typically developing children (2-68 months) underwent magnetoencephalography with alternating eyes-open/darkness and video-on conditions.
- Source-localized resting-state power spectra were analyzed for periodic (dominant frequency, power) and aperiodic (exponent, offset) measures in seven brain regions.
Main Results:
- The Dark-Room condition yielded 36% more dominant oscillation activity compared to the Video-On condition.
- Maturation of dominant frequency increased non-linearly with age, while aperiodic measure maturation decelerated.
- Regional differences in maturation rates were observed, and mature aperiodic values correlated with better adaptive behaviors.
Conclusions:
- The Dark-Room eyes-open task provides superior signal-to-noise ratio for young child resting-state periodic activity measures.
- Source-space analysis reveals regional differences in aperiodic activity maturation, unaddressed by scalp-space methods.
- Mature aperiodic brain function predicts higher developmental scores, suggesting underlying brain mechanisms for behavioral development.
Background:
Establishing maturation trajectories of resting-state neural activity from infancy to preschool ages would improve opportunities for clinical assessment and intervention. This study evaluated the superiority of an adapted Dark-Room eyes-open condition over a standard eyes-open Video-On condition during magnetoencephalography as well as regional brain differences in resting-state activity in 107 young children. Associations between the resting-state measures and behavior were also examined.
Methods:
Typically developing children, 2-to-68 months-old, viewed a video without audio alternated with eyes open in total darkness. Source-localized resting-state power spectra from seven brain regions (parietal-occipital and left and right frontal, temporal, and central cortex) yielded periodic measures (dominant frequency and power) and aperiodic measures (exponent and offset of 1/f neuronal activity).
Results:
As hypothesized, a dominant frequency response was observed more often in the Dark-Room than in the Video-On condition, the former eliciting 36% more dominant oscillation activity. Maturation of this dominant frequency increased non-linearly with age. Also as hypothesized, maturation of aperiodic measures decelerated with age, and maturation rate differed by brain region. Finally, more mature aperiodic values predicted better adaptive behaviors and daily living skills.
Conclusions:
(1) The use of an appropriate Dark-Room eyes-open task provides measures of young child resting-state periodic activity with excellent signal-to-noise ratio, better than the conventional video task. (2) Analyses in brain source space reveal regional differences in aperiodic activity and its maturation that typical scalp-space analyses have not addressed. (3) More mature aperiodic brain function measures predict higher developmental behavior scores, pointing to potential brain mechanisms supporting behavioral development.
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