Maternal Childhood Neglect is Linked to Greater Infant Cortisol Levels and Larger Infant Limbic Volumes
Bibliographic record
Abstract
Studies have linked maternal childhood maltreatment to altered infant brain volumes, but none have examined infant hypothalamic-pituitary-adrenal (HPA) axis function as a mechanism linking the two domains. Further, studies among older children suggest that childhood abuse and neglect may be associated with different developmental outcomes and thus should be studied separately. Study participants were N = 57 mother-infant dyads, stratified for maternal childhood maltreatment. At 4 months, infant cortisol total output (AUCg) and change (AUCi) were assessed across the Still-Face Paradigm. Under natural sleep, infants completed T1-weighted MRI scans ( M age = 12.28 months). Whole brain, amygdala, and hippocampal volumes were extracted via automated segmentation. Maternal childhood neglect, but not abuse, was directly associated with higher infant AUCg and AUCi, and was indirectly associated with larger amygdala and hippocampal volumes through infant AUCg. Results suggest that infant cortisol may be particularly influenced by maternal childhood neglect and may be one mechanism further influencing brain development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".