Parsing brain-behavior heterogeneity in very preterm born children using integrated similarity networks

Laila Hadaya1,2, Konstantina Dimitrakopoulou3, Lucy D Vanes4

  • 1Centre for the Developing Brain, Department of Perinatal Imaging and Health, Faculty of Life Sciences & Medicine, King's College London, London, UK.

Insights

Children born very preterm (VPT) can be stratified into behavioral subgroups. The resilient group showed better outcomes and specific brain structure, while the at-risk group had higher clinical risk and white matter alterations.

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Pediatrics

Background:

  • Very preterm birth (VPT) is linked to neurodevelopmental challenges.
  • Identifying vulnerable VPT infants is difficult due to outcome heterogeneity.

Purpose of the Study:

  • To classify VPT children into distinct behavioral subgroups.
  • To investigate differences in neonatal brain structure and function between these subgroups.

Main Methods:

  • An integrative clustering approach combined neonatal and childhood data from 198 VPT children.
  • Neuroimaging (MRI) at term-equivalent age and neuropsychological assessments at 4-7 years were used.
  • Subgroups were characterized by outcomes and compared for neonatal brain volumes, functional, and structural connectivity.

Main Results:

  • A three-cluster solution identified 'resilient', 'intermediate', and 'at-risk' subgroups.
  • The resilient group had higher cognitive/socio-emotional scores and a stimulating environment.
  • The at-risk group had higher neonatal clinical risk and white matter alterations; the resilient group showed larger insular/orbitofrontal volumes and connectivity.

Conclusions:

  • VPT children can be stratified into clinically meaningful subgroups.
  • Distinct neuroimaging profiles correlate with behavioral outcomes.
  • This stratification may guide personalized interventions to enhance resilience in VPT infants.

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