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Network Analysis of Baseline EEG in 6- to 12-Month-Old Infants: Relations with Age and Temperament

Sammy Perone1, Maria A Gartstein2

  • 1Department of Human Development, Washington State University, Pullman, Washington, USA.

Developmental Neuropsychology
|April 2, 2026
PubMed

Insights

Brain network organization in infants develops with age, showing increased integration and segregation. Higher regulatory capacity in infants correlates with less brain network integration and segregation.

Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Network Science

Background:

  • The brain's complex communication networks are crucial for cognitive development.
  • Understanding early brain organization provides insights into developmental trajectories.

Purpose of the Study:

  • To investigate the developmental trajectory of brain network organization in infants.
  • To examine the relationship between brain network properties, age, and temperament in early childhood.

Main Methods:

  • Utilized electroencephalography (EEG) to record brain activity in 77 infants aged 6-12 months.
  • Applied network analysis to EEG data, focusing on the 6-9 Hz alpha band.
  • Measured clustering coefficient (segregation) and characteristic path length (integration) as key network metrics.

Main Results:

  • Brain network segregation (clustering coefficient) increased with infant age.
  • Brain network integration (characteristic path length) decreased with infant age.
  • Higher regulatory capacity/orienting in infants was associated with decreased segregation and integration.

Conclusions:

  • Infant brain networks become more segregated and integrated with age.
  • Temperament, specifically regulatory capacity, influences early brain network organization.
  • These findings highlight the interplay between neural development and behavioral characteristics in infancy.

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