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Related Experiment Video

Updated: Apr 24, 2026

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
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Functional connectivity in preterm infants derived from EEG coherence analysis.

E J Meijer1, K H M Hermans2, A Zwanenburg3

  • 1Clinical Physics, Máxima Medical Center, Veldhoven, The Netherlands.

European Journal of Paediatric Neurology : EJPN : Official Journal of the European Paediatric Neurology Society
|September 11, 2014
PubMed
Summary
This summary is machine-generated.

Interhemispheric connectivity in preterm infants develops with brain maturation. Low-frequency EEG signals decrease with age, while high-frequency signals increase, indicating functional brain development.

Keywords:
CoherenceComputer-assisted signal processingEEGMaturationPreterm infant

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Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Computational Neuroscience

Background:

  • Assessing functional brain connectivity in preterm infants is crucial for understanding neurodevelopment.
  • Neuronal connectivity patterns evolve significantly during early postnatal life.

Purpose of the Study:

  • To quantify interhemispheric neuronal connectivity in preterm infants.
  • To investigate the relationship between connectivity and brain maturation using EEG coherence analysis.

Main Methods:

  • EEG coherence analysis was applied to serial EEG recordings from preterm infants.
  • Coherence spectra were analyzed across different frequency bands (delta, theta, alpha, beta).
  • Connectivity was evaluated in relation to gestational age and postnatal maturation.

Main Results:

  • EEG coherence showed distinct peaks in delta and theta bands.
  • Low-frequency coherence (delta, theta) generally decreased with increasing gestational age and maturation.
  • High-frequency coherence (beta) in occipital regions decreased with gestational age, while theta band coherence increased with maturation in frontal regions.

Conclusions:

  • Interhemispheric connectivity development parallels electrocortical maturation.
  • Peak magnitude coherence serves as a reliable indicator of brain maturation.
  • Coherence analysis can assist in the clinical evaluation of infant brain functional connectivity.