Association of Adverse Prenatal Exposure Burden with Persistent Psychopathology and Accelerated Cortical Thinning in Youth
Zhi, D.; Perdomo, S. A.; Arteaga, L. R.; Hughes, D. E.; Dunn, E. C.; Lee, P. H.; Evins, A. E.; Reeder, H. T. H.; Hadland, S. E.; Doyle, A. E.; Clauss, J. A.; Sui, J.; Roffman, J. L.; Gilman, J.
Show abstract
ImportanceAdverse prenatal exposures (APEs) often co-occur and independently associate with risk for childhood psychopathology. Whether exposure to multiple APEs associates with persistent clinical effects through adolescence or underlying changes in brain maturation remains uncertain. ObjectiveTo evaluate longitudinal associations among cumulative APE burden, risk for psychopathology, and age-related cortical thinning in adolescents. Design, Setting, and ParticipantsThis cohort study analyzed 4-year follow-up data from the Adolescent Brain Cognitive Development (ABCD) Study, which enrolled 11,868 youth aged 9 to 10 years beginning in 2016. Sibling-comparison analysis was performed on 414 non-adopted sibling pairs with discordant APEs. Statistical analysis occurred from March to June 2025. ExposuresCumulative APE burden was calculated by summing six binary prenatal exposures that independently associated with psychopathology at baseline: unplanned pregnancy; early maternal prenatal alcohol, tobacco, or marijuana use; complicated pregnancy; and complicated birth. Main Outcomes and MeasuresOutcomes included annual Child Behavior Checklist (CBCL) scores of dimensional psychopathology, using both continuous and thresholded outcomes; and biennial cortical thickness measures from structural magnetic resonance imaging, analyzed using linear mixed-effects models. ResultsOf 8,515 singleton children (4,055 females [47.6%]), 78% were exposed to at least one APE. Multiple APEs persistently and dose-dependently associated with increased odds of clinically significant psychopathology (CBCL total problems: odds ratio=2.01-6.75; corrected P=.0065-1.31x10-13). Associations of APEs with attention-deficit/hyperactivity disorder symptoms attenuated over time (interaction: F=13.51; corrected P=7.13x10-8), while those with depressive symptoms potentiated (interaction: F=5.82; corrected P=.0019). Greater APE burden associated with accelerated age-related cortical thinning in 36 of 68 cortical regions (interactions: F=3.26-8.89; corrected Ps=0.039-4.86x10-4). Siblings with more exposures demonstrated persistently higher CBCL total problems (T=2.25; P=0.025) and accelerated cortical thinning (interactions: T=-3.00--2.10; Ps<.05) in 5 of the 36 regions implicated in the larger sample. Conclusions and RelevanceMultiple prenatal adversities associated with altered developmental trajectories of psychopathology and cortical maturation into mid-adolescence. These findings highlight the importance of fetal programming to mental health across life course, and the need for additional study of risk and resiliency-conferring factors in utero. Key PointsO_ST_ABSQuestionC_ST_ABSIs adverse prenatal exposure (APE) burden associated with long-term changes in psychopathology and underlying cortical maturation trajectories in children? FindingsIn this 4-year follow-up cohort study of 8,515 singleton children in the ABCD Study, exposure to multiple APEs associated with persistent, dose-dependent increases in the risk of clinically significant psychopathology and diffuse acceleration in age-associated cortical thinning during adolescence. Findings were further supported by within-family comparisons in 414 sibling pairs discordant for APEs. MeaningThese findings associate multiple prenatal adversities with enduring and developmentally dynamic effects on both cortical development and mental health in adolescence. The results emphasize the need for early identification, longitudinal monitoring, and neurodevelopmentally informed prevention strategies for at-risk youth.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Unique prediction of developmental psychopathology from genetic and familial risk 94%
- Analysis of structural brain asymmetries in Attention-Deficit/Hyperactivity Disorder in 39 datasets 94%
- Combined polygenic risk scores of different psychiatric traits predict general and specific psychopathology in childhood 93%
Similar papers in this journal
- Estimating the impact of transmitted and non-transmitted psychiatric and neurodevelopmental polygenic scores on youth emotional problems 94%
- Working memory and reaction time variability mediate the relationship between polygenic risk and ADHD traits in a general population sample 93%
- Using twin-pairs to assess potential bias in polygenic prediction of externalising behaviours across development 93%
Similar papers in this journal
- Transdiagnostic dimensions of psychopathology explain individuals' unique deviations from normative neurodevelopment in brain structure 94%
- Genetic liability to major psychiatric disorders contributes to multi-faceted quality of life outcomes in children and adults 93%
- Are psychiatric disorders risk factors for COVID-19 susceptibility and severity? a two-sample, bidirectional, univariable and multivariable Mendelian Randomization study 93%
Similar papers in this journal
- Regional brain age deviations reveal divergent developmental pathways in youth 94%
- Brain structure and function show distinct relations with genetic predispositions to mental health and cognition 92%
- Altered cortical gyrification in adults who were born very preterm and its associations with cognition and mental health 92%
Similar papers in this journal
- Examining Differences in the Genetic and Functional Architecture of ADHD Diagnosed in Childhood and Adulthood 94%
- Prenatal Selective Serotonin Reuptake Inhibitor Exposure, Depression and Brain Morphology in Middle Childhood: Results from the ABCD Study 93%
- Dimensional gender diversity is associated with greater polygenic propensity for cognitive performance and interacts with other genetic factors in predicting health outcomes 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.