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The Structural Connectome and Internalizing and Externalizing Symptoms at 7 and 13 Years in Individuals Born Very
Courtney P Gilchrist1, Deanne K Thompson2, Claire E Kelly3
1School of Health and Biomedical Sciences, RMIT University, Melbourne, Victoria, Australia; Victorian Infant Brain Studies, Murdoch Children's Research Institute, Melbourne, Victoria, Australia; Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Insights
Children born very preterm (VP) show altered brain network integration linked to emotional and behavioral problems. This study reveals how brain connectivity differences in VP children impact internalizing and externalizing symptoms during development.
Area of Science:
- Neuroscience
- Developmental Psychology
- Medical Imaging
Background:
- Children born very preterm (VP) face increased risks for emotional and behavioral issues compared to full-term (FT) children.
- Understanding the neurobiological underpinnings of these differences is crucial for early intervention and support.
Purpose of the Study:
- To investigate the neurobiological basis of internalizing and externalizing symptoms in individuals born very preterm (VP) and full-term (FT).
- To apply a graph theory approach to analyze structural brain connectomes and their relationship with behavioral outcomes.
Main Methods:
- Combined structural and diffusion MRI data to create structural connectomes.
- Calculated network integration and segregation measures at 7 and 13 years.
- Assessed internalizing and externalizing symptoms using the Strengths and Difficulties Questionnaire and analyzed associations with network measures via linear regression.
Main Results:
- Lower network integration correlated with higher internalizing symptoms in both VP and FT children at age 7.
- At age 13, associations between network segregation and externalizing symptoms showed group differences, with stronger positive associations in the VP group.
Conclusions:
- The structural connectome plays a significant role in the development of internalizing and externalizing symptoms in childhood and adolescence.
- Findings offer insights into the neurobiological differences contributing to emotional and behavioral problems following preterm birth.
Background:
Children born very preterm (VP) are at higher risk of emotional and behavioral problems compared with full-term (FT) children. We investigated the neurobiological basis of internalizing and externalizing symptoms in individuals born VP and FT by applying a graph theory approach.
Methods:
Structural and diffusion magnetic resonance imaging data were combined to generate structural connectomes and calculate measures of network integration and segregation at 7 (VP: 72; FT: 17) and 13 (VP: 125; FT: 44) years. Internalizing and externalizing symptoms were assessed at 7 and 13 years using the Strengths and Difficulties Questionnaire. Linear regression models were used to relate network measures and internalizing and externalizing symptoms concurrently at 7 and 13 years.
Results:
Lower network integration (characteristic path length and global efficiency) was associated with higher internalizing symptoms in VP and FT children at 7 years, but not at 13 years. The association between network integration (characteristic path length) and externalizing symptoms at 7 years was weaker, but there was some evidence for differential associations between groups, with lower integration in the VP group and higher integration in the FT group associated with higher externalizing symptoms. At 13 years, there was some evidence that associations between network segregation (average clustering coefficient, transitivity, local efficiency) and externalizing symptoms differed between the VP and FT groups, with stronger positive associations in the VP group.
Conclusions:
This study provides insights into the neurobiological basis of emotional and behavioral problems after preterm birth, highlighting the role of the structural connectome in internalizing and externalizing symptoms in childhood and adolescence.
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