The effects of prenatal maternal stress and early life maternal stress on adolescent hippocampal morphology: project ice storm
Bibliographic record
Abstract
Background: Prenatal maternal stress (PNMS) is associated with altered hippocampal (HC) structure in animals, and HC-associated psychopathologies in humans. The objective of this study was to determine the extent to which PNMS experienced by women pregnant during the 1998 Quebec ice storm affects HC morphology (volume, surface area and shape) in their children; and to determine the extent to which the effects of maternal stress exposure differ between prenatally exposed children and a matched comparison group of early life exposed children, born 1-year before the storm.Methods: Using a longitudinal design, stress measures (objective hardship, subjective distress and cognitive appraisal) were collected from mothers following the storm, and high-resolution T1-weighted structural magnetic resonance images (MRI) were collected from the children at the age of 111⁄2. Automated neuroimaging techniques were used to derive HC morphology measures. Results: Results show that PNMS exposure, but not early life maternal stress (ELMS) exposure, lead to altered bilateral hippocampal volumes, as well as specific volumetric changes in subfields CA1, subiculum and stratum radiatum/lacunosum-moleculare. The direction of the effects depends on the aspect of the stress assessed. Overall, maternal cognitive appraisal was found to be the strongest predictor of adolescent hippocampal volumes, such that a negative appraisal of the storms consequences predicted smaller hippocampal volumes. A trend was observed for higher objective hardship and subjective distress levels predicting larger HC volumes. Hippocampal surface area and shape appear to be unaffected by either PNMS or ELMS. Discussion: These findings lend support to the idea that PNMS contributes to fetal programming and can exert long-lasting effects on children's brain structure.
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How this classification was reachedexpand
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".