Early life stress modulates oxytocin effects on limbic system during acute psychosocial stress
Bibliographic record
Abstract
Early life stress (ELS) is associated with altered stress responsivity, structural and functional brain changes and an increased risk for the development of psychopathological conditions in later life. Due to its behavioral and physiological effects, the neuropeptide oxytocin (OXT) is a useful tool to investigate stress responsivity, even though the neurobiological underpinnings of its effects are still unknown. Here we investigate the effects of OXT on cortisol stress response and neural activity during psychosocial stress. Using functional magnetic resonance imaging in healthy subjects with and without a history of ELS, we found attenuated hormonal reactivity and significantly reduced limbic deactivation after OXT administration in subjects without a history of ELS. Subjects who experienced ELS showed both blunted stress reactivity and limbic deactivation during stress. Furthermore, in these subjects OXT had opposite effects with increased hormonal reactivity and increased limbic deactivation. Our results might implicate that reduced limbic deactivation and hypothalamic-pituitary-adrenal axis responsivity during psychosocial stress are markers for biological resilience after ELS. Effects of OXT in subjects with a history of maltreatment could therefore be considered detrimental and suggest careful consideration of OXT administration in such individuals.
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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 | 0.000 |
| 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) | 0.001 | 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 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".