Invited Review: Factors associated with atypical brain development in preterm infants: insights from magnetic

J P Boardman1, S J Counsell2

  • 1MRC Centre for Reproductive Health, University of Edinburgh, Edinburgh, UK.

Insights

Preterm birth (PTB) impacts brain development, causing neurodevelopmental issues. Understanding risk and resilience factors is key for better outcomes and neuroprotective strategies.

Area of Science:

  • Neuroscience
  • Developmental Biology
  • Neonatal Medicine

Background:

  • Preterm birth (PTB) is a major cause of childhood neurodevelopmental and neurocognitive deficits, often linked to psychiatric disorders.
  • Current understanding of factors influencing brain development and long-term outcomes post-PTB is limited, hindering risk stratification and the development of neuroprotective therapies.
  • Neonatal MRI reveals PTB-associated brain alterations, including neural network dysconnectivity and atypical grey matter development.

Purpose of the Study:

  • To review perinatal factors associated with the MRI-defined signature of preterm birth.
  • To explore biological and environmental influences on brain development and resilience following PTB.
  • To identify challenges and future directions for analyzing neuroimaging data in PTB research.

Main Methods:

  • Review of maternal, fetal, and neonatal factors linked to PTB's MRI signature.
  • Consideration of chorioamnionitis, fetal growth restriction, socioeconomic factors, prenatal exposures (alcohol, drugs, stress).
  • Inclusion of neonatal factors like comorbidities, nutrition, pain, medication, and genetic/epigenetic variations.

Main Results:

  • Association studies provide initial insights into pathways of adversity and resilience after PTB.
  • Identified perinatal factors contribute to the observed MRI signature in preterm infants.
  • Highlights the complexity of factors influencing neurodevelopmental outcomes in PTB.

Conclusions:

  • Further research needs to integrate quantitative MRI data with biological and environmental information.
  • Study designs supporting causal inference are crucial for understanding PTB's impact.
  • Future analyses can aid in stratifying infants for clinical trials of novel therapies to improve outcomes.

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