The effects of early life adversity on hypothalamic- pituitary-adrenal axis, sympathetic, and parasympathetic responses to the Montreal Imaging Stress Task
Bibliographic record
Abstract
Early life adversity (ELA) has been shown to be associated with emergences of psycho- andother pathologies later in life. These physiological and psychological effects are hypothesizedto be mediated by changes in stress physiology, namely the hypothalamic-pituitary-adrenal(HPA) axis, and the autonomic nervous system (ANS). Numerous studies have shown effectsof ELA on HPA-axis response. However, findings have been mixed with some researchersreporting potentiating effects of ELA on HPA-reactivity, while others have found bluntingeffects of ELA. Importantly, the majority of studies so far have focused on HPA-reactivity,neglecting to incorporate measures of the independent branches of the ANS. This thesis hypothesizedthat inter-individual differences in the relationship between HPA-reactivity andELA could be explained via a moderating effect of ANS reactivity. The thesis incorporatedheart rate variability (HRV), specifically respiratory sinus arrhythmia (RSA) — an index ofparasympathetic nervous system (PSNS) activity — as well as salivary α-amylase (sAA) —a marker of the ANS but with prominent sympathetic nervous system (SNS) components —to obtain a more thorough and complete picture of stress reactivity. Results found no effectsof ELA on stress reactivity in the PSNS and HPA-axis. However, when controlling for thePSNS we found a difference in reactivity of sAA between those high in ELA and those lowin ELA, providing initial evidence of observable effects of ELA on the SNS in sAA measures.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".