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Related Experiment Video

Updated: Apr 26, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
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Structural network analysis of brain development in young preterm neonates.

Colin J Brown1, Steven P Miller2, Brian G Booth1

  • 1Medical Image Analysis Lab, Simon Fraser University, Burnaby, BC, Canada.

Neuroimage
|July 31, 2014
PubMed
Summary

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Brain network development in preterm infants shows high efficiency and clustering. Connections in the frontal and occipital lobes significantly correlate with age, enhancing the brain

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Medical Imaging

Background:

  • Preterm infants exhibit different developmental trajectories and higher risks of brain pathology compared to full-term infants.
  • Understanding early brain development in preterm infants is crucial due to unique developmental pathways and potential for neurological complications.
  • Diffusion tensor imaging (DTI) provides early insights into brain development, particularly the structural connectome, which is not fully understood in this population.

Purpose of the Study:

  • To investigate the developmental trajectory of the structural connectome in normal preterm infants.
  • To analyze how white matter tracts and network properties evolve between 27 and 45 weeks post-menstrual age.
  • To compare network analysis results using tract count versus fractional anisotropy as edge weighting metrics.
Keywords:
Brain developmentNeonatesNetwork measuresPretermStructural connectomeTractography

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Related Experiment Videos

Last Updated: Apr 26, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.7K
Preterm EEG: A Multimodal Neurophysiological Protocol
19:32

Preterm EEG: A Multimodal Neurophysiological Protocol

Published on: February 18, 2012

30.6K
Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale
19:15

Assessment and Evaluation of the High Risk Neonate: The NICU Network Neurobehavioral Scale

Published on: August 25, 2014

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Main Methods:

  • Utilized diffusion tensor imaging (DTI) on a cohort of 47 normal preterm neonates.
  • Employed full-brain tractography to identify white matter tracts between 90 cortical and sub-cortical regions defined by the UNC Chapel Hill neonatal atlas.
  • Analyzed resulting structural connectomes, comparing edge weighting by tract count versus fractional anisotropy.

Main Results:

  • Preterm infant brain networks demonstrate high efficiency and clustering across various network scales, similar to term-born infants.
  • Development of specific region-pair connections, especially in the frontal and occipital lobes, shows significant correlation with post-menstrual age.
  • The preterm infant connectome becomes more clustered with age, leading to a significant increase in its small-world network structure.

Conclusions:

  • The structural connectome in preterm infants develops with increasing efficiency and clustering, exhibiting small-world properties.
  • Age-related changes in specific white matter connections are evident in preterm infants, particularly in frontal and occipital regions.
  • DTI-based network analysis offers valuable insights into the maturation of brain connectivity in preterm neonates.