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Related Experiment Video

Updated: Apr 30, 2026

Preterm EEG: A Multimodal Neurophysiological Protocol
19:32

Preterm EEG: A Multimodal Neurophysiological Protocol

Published on: February 18, 2012

30.6K

Graph-theoretical analysis of EEG functional brain network development in preterm infants.

Jiaqi Li1, Yuanyuan Shan1, Mengmeng Ge1

  • 1Deprtment of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai 201102, China.

Brain Research Bulletin
|April 28, 2026
PubMed

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Summary

Brain network maturation in preterm infants shows significant changes around 36 weeks postmenstrual age (PMA). Delta-band connectivity increases, while beta and theta bands decline, highlighting critical neurodevelopmental transitions.

Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Computational Neuroscience

Background:

  • Preterm birth can disrupt normal brain development.
  • Understanding brain network maturation is crucial for identifying developmental trajectories and potential biomarkers.

Purpose of the Study:

  • To investigate preterm brain network maturation using electroencephalography (EEG) connectivity and graph theory.
  • To identify critical neurodevelopmental transitions and potential biomarkers for preterm infants.

Main Methods:

  • Sixty-one preterm infants (25-36 weeks gestational age) underwent resting-state EEG recordings.
  • Weighted phase-lag index (wPLI) and graph metrics were computed across different frequency bands (δ, θ, α, β).
  • Developmental trajectories were modeled using generalized additive models and linear mixed-effects models.
Keywords:
ElectroencephalographyFunctional brain networksGraph theoryPreterm infants

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Related Experiment Videos

Last Updated: Apr 30, 2026

Preterm EEG: A Multimodal Neurophysiological Protocol
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Preterm EEG: A Multimodal Neurophysiological Protocol

Published on: February 18, 2012

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Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates
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Main Results:

  • Significant interhemispheric frontopolar synchrony was observed in the weighted phase-lag index (wPLI).
  • Theta-band clustering peaked at 36 weeks postmenstrual age (PMA), while beta and theta networks declined between 35-38 weeks PMA.
  • Delta-band connectivity showed enhanced global integration and efficiency, with PMA-dependent increases in parietal hub betweenness, degree, and nodal efficiency in the theta band.

Conclusions:

  • Thirty-six weeks PMA represents a critical neurodevelopmental transition in preterm infants.
  • Emergence of delta-band hubs and parietal theta-band integration may serve as potential biomarkers for preterm brain network maturation.