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Updated: Jan 30, 2026

A Piglet Model of Neonatal Hypoxic-Ischemic Encephalopathy
10:30

A Piglet Model of Neonatal Hypoxic-Ischemic Encephalopathy

Published on: May 16, 2015

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Resting-state network complexity and magnitude changes in neonates with severe hypoxic ischemic encephalopathy

Hong-Xin Li1, Min Yu2, Ai-Bin Zheng3

  • 1Department of Neonatology, Changzhou Children's Hospital, Changzhou, Jiangsu Province, China.

Neural Regeneration Research
|January 12, 2019
PubMed

Insights

Severe hypoxic ischemic encephalopathy in infants disrupts brain network topology, impacting language and cognition. This finding may enable early predictions and interventions for affected newborns.

Area of Science:

  • Neuroscience
  • Developmental Neuroscience
  • Medical Imaging

Background:

  • Resting-state functional magnetic resonance imaging (rs-fMRI) reveals altered brain connectivity in older individuals with cerebral palsy.
  • Understanding brain network disruptions in neonatal hypoxic-ischemic encephalopathy (HIE) is crucial for early intervention.
  • Previous research has not fully elucidated the specific brain networks affected in neonatal HIE.

Purpose of the Study:

  • To investigate the differences in resting-state functional brain network topology between infants with mild and severe hypoxic-ischemic encephalopathy (HIE).
  • To identify specific brain regions and network properties associated with the severity of HIE in neonates.
  • To explore the potential for early prediction of neurodevelopmental outcomes in infants with severe HIE.

Main Methods:

  • Recruited 14 term-born infants with mild HIE and 14 with severe HIE from Changzhou Children's Hospital.
  • Acquired resting-state functional magnetic resonance imaging (rs-fMRI) data from all participants.
  • Analyzed whole-brain network organization, including small-world properties, local efficiency, clustering coefficient, and nodal efficiency.

Main Results:

  • Both mild and severe HIE groups exhibited efficient small-world brain network organization.
  • The severe HIE group showed significantly decreased local efficiency and a lower clustering coefficient compared to the mild HIE group.
  • Reduced nodal efficiency was observed in key language and motor areas, including the left rolandic operculum, left supramarginal gyrus, bilateral superior temporal gyrus, and right middle temporal gyrus.

Conclusions:

  • The topological structure of resting-state functional networks differs significantly between infants with severe and mild HIE.
  • These network alterations in severe HIE are potentially linked to impaired language, motor, and cognitive functions.
  • Findings suggest the possibility of early prediction of brain development in severe HIE, facilitating timely interventions.

Keywords:
brain functional connectivitybrain networksclustering coefficienthypoxic ischemic encephalopathylocal efficiencyneonatesnerve regenerationneural regenerationresting-state functional magnetic resonance imagingsmall-world organization

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