Neonatal brain pathology predicts adverse attention and processing speed outcomes in very preterm and/or very low

Andrea L Murray1, Shannon E Scratch1, Deanne K Thompson1

  • 1Victorian Infant Brain Studies.

Neuropsychology
|April 9, 2014
PubMed

Insights

Very preterm (VPT) or very low birth weight (VLBW) children show poorer attention and processing speed. Neonatal brain abnormalities, particularly in white and deep gray matter, predict these long-term cognitive outcomes.

Area of Science:

  • Neuroscience
  • Developmental Pediatrics
  • Cognitive Psychology

Background:

  • Very preterm (VPT) and very low birth weight (VLBW) infants are at risk for neurodevelopmental deficits.
  • Attention and processing speed are crucial cognitive functions affected by early brain development.
  • Neonatal brain imaging may offer insights into predicting cognitive outcomes.

Purpose of the Study:

  • To investigate attention and processing speed in VPT/VLBW children.
  • To determine if neonatal brain abnormalities predict these cognitive outcomes at age 7.
  • To compare cognitive performance between VPT/VLBW children and term-born controls.

Main Methods:

  • A cohort of 198 VPT/VLBW children and 70 term controls were assessed.
  • Neonatal MRI scans were analyzed for white matter, cortical gray matter, deep gray matter, and cerebellar abnormalities.
  • Standardized neuropsychological tests evaluated attention and processing speed at 7 years.

Main Results:

  • VPT/VLBW children performed significantly worse on attention and processing speed tasks compared to controls.
  • Higher neonatal brain abnormality scores correlated with poorer attention and processing speed outcomes.
  • White matter and deep gray matter abnormalities were notable predictors of long-term cognitive deficits.

Conclusions:

  • Attention and processing speed are significant concerns for VPT/VLBW children.
  • This study establishes a link between neonatal brain pathology and adverse attention/processing speed outcomes at age 7.
  • Neonatal MRI findings can help predict long-term cognitive performance in this vulnerable population.
Abstract