The significance of mothers’ neural responding to infant emotional cues for caregiving behaviors: The moderating role of infant temperamental distress.
Bibliographic record
Abstract
= 137; 77.7% White/non-Hispanic) neural responding implicated in facial encoding (N170) and attention (P300) to infant emotional expressions and direct observations of their caregiving behaviors toward their 6-month-old infants. We also explored the moderating role of mother-reported and observer-rated infant temperamental distress. Few direct associations emerged that were not further moderated by temperament. Specifically, a dampened N170 to infant distress (vs. neutral) expressions was associated with mothers' intrusiveness, and a larger P300 to infant happy (vs. neutral) expressions was associated with mothers' sensitivity to distress. Among mothers who perceived their infants as high in temperamental distress, neural responding reflective of distinguishing (N170) and attending (P300) to infant distress (vs. neutral) expressions was associated with maternal sensitivity to distress, and neural responding reflective of encoding (N170) infant emotional (distress, happy, vs. neutral) expressions was associated with greater maternal sensitivity to nondistress. At lower levels of mother-reported temperamental distress, a heightened N170 to infant emotional (distress, happy, vs. neutral) expressions was associated with mothers' detachment. Findings indicate that distinctive patterns of neural responding to infant emotional expressions are associated with specific caregiving behaviors and demonstrate the significance of mothers' perceptions of infant temperamental distress in moderating the extent to which neural responding to infant expressions is associated with their caregiving behaviors. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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 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 | 0.000 | 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 | 0.001 | 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) | 0.000 | 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".