Mothers with higher empathy have children who make moral decisions and exhibit higher medial prefrontal cortex (mPFC) activity when discussing hypothetical moral dilemmas: an fNIRS study from Singapore
Bibliographic record
Abstract
Parents' empathic responses are crucial in shaping children's attitudes. Empathy triggers positive emotional responses, which facilitate adaptive moral judgment and utilitarian decisions. However, no study has examined the role of parental empathy in influencing children's moral reasoning and their underlying neural responses. In this study, we investigated the association between mothers' empathy levels and children's moral decisions and brain activity in the prefrontal cortex (PFC). 19 children wore a 20-channel functional Near-Infrared Spectroscopy (fNIRS) cap with a standard PFC montage while discussing preschool-aged stories with their mothers. We measured mothers' empathy levels using the Toronto Empathy Questionnaire and their preschool children's empathic tendencies by asking whether they would help the characters of these stories with simple chores in hypothetical scenarios. Findings showed that children are disposed to behave in ways parallel to their mother's attitudes. Empathic mothers have children who make prosocial decisions rooted in empathic mentalization. These helpful children also have higher activations in the medial prefrontal cortex (mPFC), the brain area associated with ethical decision-making. This study highlights the impact of parent-child communication in strengthening children's moral knowledge and moral emotions and emphasizes that parents' attitudes and interactions play a significant role in children's decision-making abilities.
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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".