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

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.