Exposure to Fine Particulate Matter During Pregnancy Is Associated With Hippocampal Development in Offspring
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Bibliographic record
Abstract
As the global climate crisis persists, it becomes increasingly important to understand how exposure to environmental toxins can affect the developing brain. Although researchers are beginning to document links between prenatal exposure to air pollution and brain structure, it is not clear when these associations emerge. We leveraged data from the GUSTO (Growing Up Toward Healthy Outcomes in Singapore) longitudinal birth cohort study to examine prenatal exposure to air pollution and brain development during childhood. Spatiotemporally interpolated prenatal exposure to particulate matter <2.5 μm was averaged across each prenatal week. Structural magnetic resonance imaging data were obtained when children were ages 4.5, 6.0, 7.5, and 10.5 years ( N = 325, 47.7% female) and segmented with FreeSurfer 7.1. A subset of parents completed the Child Behavior Checklist at the final assessment ( n = 195, 46.7% female). We used latent growth modeling to estimate a slope of hippocampal volume growth in each hemisphere from ages 4.5 to 10.5 years, adjusted for intracranial volume. Distributed lag models indicated that late gestational exposure (during weeks 36–40) was associated with slower hippocampal growth in both hemispheres. Importantly, we also found that faster hippocampal volume growth in the right hemisphere was associated with more externalizing and attention problems at 10.5 years. Future research should examine mechanisms that may underlie or contribute to these associations. These findings underscore the importance of efforts to reduce pollution, particularly for pregnant people and their children. We examined associations between prenatal air pollution exposure and hippocampal volume development in children from ages 4 to 10 years. We found that hippocampal volume increased over time in both the left and right hemispheres of the brain, but these increases were smaller among children who were exposed to higher levels of air pollution during the last 4 weeks of pregnancy. Furthermore, faster hippocampal growth was associated with more externalizing and attention problems when children were age 10 years.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it