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.
Abstract