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Perinatal Factors and Neuroimaging Changes for Brain Maturation Among Adolescents
Eren Kafadar1,2,3, Margaret Gardner1,2,3, Lena Dorfschmidt1,2,3
1Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
JAMA Network Open
|August 7, 2026
Summary
Lower birth weight and increased psychopathology are linked to altered brain development trajectories in adolescents. These findings highlight the importance of tracking individual brain changes over time for a better understanding of developmental neuroscience.
Area of Science:
- Neuroscience
- Developmental Psychology
- Biostatistics
Background:
- Brain maturation exhibits significant individual variability, especially during adolescence.
- Assessing longitudinal brain development trajectories is crucial for identifying deviations from normative patterns.
- Understanding factors influencing these trajectories, such as birth weight and psychopathology, is essential.
Purpose of the Study:
- To determine the association between longitudinal changes in brain volumes and birth weight, gestational age, and psychopathology.
- To develop normative models for brain volumes using cross-sectional and longitudinal data.
- To assess individual deviations from expected brain growth trajectories.
Main Methods:
- Utilized data from the Adolescent Brain Cognitive Development (ABCD) Study, including neuroimaging data from 10,830 participants at baseline and 7,262 at follow-up.
- Developed conditional-longitudinal normative models to track individual brain volume changes over time.
- Analyzed associations between brain volume trajectories, birth weight, gestational age, and psychopathology scores.
Main Results:
- Lower birth weight was associated with decreased brain volumes over time across 27 brain regions.
- Increased psychopathology was linked to decreasing brain volumes across 37 brain regions.
- Individual-specific longitudinal centiles effectively captured deviations in brain development trajectories.
Conclusions:
- Conditional-longitudinal models provide valuable insights into individual brain maturation beyond static measures.
- Observed robust associations between birth weight, mental health symptoms, and individual brain trajectory deviations.
- Conditional-longitudinal modeling shows promise for applications in psychiatric neuroscience research.
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