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Published on: November 20, 2015
Distinct neural mechanisms underlying cognitive difficulties in preterm children born at different stages of
Samson Nivins1, Nelly Padilla1, Hedvig Kvanta1
1Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden.
Insights
Preterm birth is linked to brain differences and lower cognitive performance. These brain alterations may indicate compensatory mechanisms, suggesting tailored interventions are crucial for preterm children.
Area of Science:
- Neuroscience
- Developmental Pediatrics
- Cognitive Science
Background:
- Preterm birth is a significant global health concern, affecting neurodevelopment.
- Understanding the long-term neurological consequences of prematurity is essential for early intervention.
- Cognitive performance in childhood is a key indicator of neurodevelopmental outcomes.
Purpose of the Study:
- To investigate the relationship between low cognitive performance and brain structure/network differences in preterm children.
- To compare brain alterations in very-preterm, moderately-preterm, and full-term children.
- To determine if these brain changes predict Autism Spectrum Disorder (ASD) or Attention-Deficit/Hyperactivity Disorder (ADHD) symptoms later in childhood.
Main Methods:
- Longitudinal population-based study using data from the ABCD Study.
- Brain imaging (cortical thickness, subcortical volumes) and cognitive assessments (NIH Toolbox) were performed on 9-10-year-old children.
- Structural covariance networks were analyzed to examine brain connectivity patterns.
Main Results:
- Low cognitive performance was more common in very-preterm (29.6%) and moderately-preterm (24.0%) children compared to full-term (16.2%) children.
- Very-preterm children with low cognitive performance showed thinner inferior temporal cortex and fusiform gyrus, and larger amygdala volumes.
- Moderately-preterm children with low cognitive performance exhibited smaller hippocampal volumes.
- Structural covariance network analysis indicated altered connectivity in preterm children, potentially linked to ASD/ADHD symptoms.
Conclusions:
- Preterm children with low cognitive performance exhibit distinct regional and network-level brain differences, varying by degree of prematurity.
- Observed brain network alterations might represent compensatory mechanisms.
- Findings underscore the necessity for interventions specifically tailored to the needs of preterm populations.
Objectives:
To examine associations between low cognitive-performance and regional-and network-level brain changes at ages 9-10 in very-preterm, moderately-preterm, and full-term children, and explore whether these alterations predict ASD/ADHD symptoms at age 12.
Methods:
This longitudinal population-based study included 9-10-year-old U.S. children from ABCD Study. Children underwent brain imaging and cognitive assessment using NIH Toolbox. Cortical thickness and subcortical volumes of preterm-children with low cognitive-performance (NIH composite score < -1SD and > -2SD) were compared with preterm and full-term peers with typical performance (≥-1SD). Structural covariance networks were also examined.
Results:
Among 7281 children (mean age 9.9 ± 0.6 years; 52.2 % boys), 71 were very-preterm, 151 moderately-preterm, and 7056 full-term. Low cognitive-performance was most prevalent in very-preterm children (29.6 %), followed by moderately-preterm (24.0 %) and full-term children (16.2 %). Very-preterm children with low cognitive-performance had thinner inferior temporal cortex (β = -0.58; p = 0.03), thinner fusiform gyrus (β = -0.62; p = 0.02), and larger amygdala volumes (β = 0.41; p = 0.05) compared to very-preterm children with typical performance. Moderately-preterm children with low cognitive-performance had smaller hippocampal volumes (β = -0.32; p = 0.01). Similar patterns were observed when comparing preterm children with low cognitive-performance to full-term peers with typical performance. Structural covariance network analysis revealed stronger covariance between the precuneus-postcentral gyrus pair among moderately-preterm children with low cognitive-performance. Individualized Differential Structural Covariance Network values extracted from this pair were positively associated with ASD/ADHD symptoms, though not statistically significance.
Conclusion:
Low cognitive performance in preterm children is associated with distinct regional and network-level brain differences, differing by prematurity. Stronger hub covariance may reflect compensatory mechanisms, highlighting the need for prematurity-tailored interventions.
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