Hindbrain regional growth in preterm newborns and its impairment in relation to brain injury

Hosung Kim1, Dawn Gano2, Mai-Lan Ho3

  • 1Department of Radiology and Biomedical Imaging, University of California, San Francisco, California.

Human Brain Mapping
|November 22, 2015
PubMed

Insights

Premature birth can impact infant brain development. This study quantifies regional growth in preterm neonates, revealing distinct growth patterns and impairments linked to brain injury, aiding early intervention for neurodevelopmental deficits.

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Medical Imaging

Background:

  • Premature birth affects 11.1% of newborns globally, increasing risk for neurodevelopmental disability.
  • Histological studies suggest differential growth in hindbrain subdivisions during the third trimester.
  • Preterm brain injuries may selectively impact rapidly developing hindbrain areas, leading to region-specific deficits.

Purpose of the Study:

  • To quantify regional growth of the cerebellum and brainstem in preterm neonates.
  • To investigate associations between regional brain volumes and the severity of brain injury.
  • To identify potential imaging biomarkers for predicting neurodevelopmental outcomes.

Main Methods:

  • Utilized a mixed-effect linear model for analyzing longitudinal MRI scans from 65 preterm neonates.
  • Quantified regional volumes of the cerebellum and brainstem.
  • Correlated regional growth patterns with the presence and severity of brain injuries like intraventricular and cerebellar hemorrhage.

Main Results:

  • In neonates without brain injury, the pons and lateral cerebellar lobes showed faster growth.
  • Cerebral intraventricular hemorrhage and cerebellar hemorrhage were associated with distinct patterns of impaired cerebellar and brainstem growth.
  • Observed cerebellar growth patterns closely matched histological data on cerebellar morphogenesis.

Conclusions:

  • Regional brain growth in preterm neonates exhibits specific patterns that are altered by brain injury.
  • Impaired growth patterns are linked to specific types of brain injury, suggesting distinct disruption mechanisms.
  • The developed analytical framework shows promise for identifying predictive imaging biomarkers for neurodevelopmental outcomes in high-risk infants.