Structural and functional brain network alterations in prenatal alcohol exposed neonates

Annerine Roos1,2, Jean-Paul Fouche3, Jonathan C Ipser3

  • 1SU/UCT MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, PO Box 241, 8000, Cape Town, South Africa. aroos@sun.ac.za.

Insights

Prenatal alcohol exposure disrupts functional brain networks in neonates, affecting temporal and limbic hubs. These early brain network alterations may explain later behavioral and sensory difficulties.

Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Medical Imaging

Background:

  • Prenatal alcohol exposure (PAE) is linked to cognitive and behavioral deficits.
  • Previous research has not integrated structural and functional brain imaging in infants with PAE.
  • Understanding early brain alterations is crucial for intervention.

Purpose of the Study:

  • To investigate disruptions in structural and functional brain network organization in neonates with PAE.
  • To compare brain network organization between exposed and unexposed neonates.
  • To identify early neural markers associated with PAE.

Main Methods:

  • Used diffusion weighted imaging (DWI) and resting-state functional magnetic resonance imaging (rs-fMRI).
  • Analyzed structural and functional covariance networks using graph theory.
  • Compared global and regional network organization between 11 neonates with PAE and 14 controls.

Main Results:

  • Global structural network organization was similar between groups.
  • Functional networks in neonates with PAE showed temporal and limbic hubs, unlike controls' distributed hubs.
  • Regional analysis revealed distinct structural and functional connectivity patterns in subcortical and occipital regions for the PAE group.

Conclusions:

  • Prenatal alcohol exposure causes early, global, and regional functional brain network disruptions.
  • Suboptimal functional network organization in neonates with PAE may underlie sensory and behavioral issues.
  • Early identification of these network differences is vital for addressing PAE consequences.

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