Early experiences of maternal warmth buffer against effects of proximal stress on neural responses to reward in a sample of adult women
Bibliographic record
Abstract
The link between stress exposure and psychopathology is well-established, and may be due in part to the blunting effects of stress exposure on neural responses to rewards. Identification of factors that buffer against the adverse effects of stress exposure is therefore important. Early caregiving experiences of warmth and sensitivity have been shown to influence stress susceptibility later in life. The present study sought to investigate whether early maternal care moderates the effect of proximal interpersonal stress exposure on the neural processing of rewards in adult women. Two reward-sensitive event-related potential (ERP) components were examined: the P200 (P2) and the Reward Positivity (RewP). Eighty-nine women completed 1) the self-report Parental Bonding Instrument (PBI) to assess early experiences of parenting, 2) a semi-structured interview to assess recent stress exposure, and 3) a peer interaction 'Survivor'-style task to elicit neural responses to social acceptance. Analyses revealed a significant interaction between maternal care and current stress on P2 amplitude (β = 0.21, p = .04), and a similar, though not statistically significant, effect on the RewP in terms of magnitude and direction (β = 0.18, p = .09). These results suggest that, in women reporting low levels of early maternal warmth, higher levels of recent stress exposure were associated with blunted neural response to rewards. Proximal stress was not associated with these neural responses in women reporting medium or high levels of early maternal warmth. These findings suggest that warm, sensitive parenting in early life may influence stress sensitivity into adulthood.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".