The Relationship Between Typical Variations in Parent Emotional Availability, White Matter Microstructure and Social-Emotional Outcomes in 2-Year-Old Children
Bibliographic record
Abstract
During early childhood, rapid myelination of white matter tracts underlies social-emotional development. Maturing neural pathways are more sensitive to environmental factors, such as the quality of caregiving behaviours. Emotional availability (EA) refers to a caregiver’s capacity to share an emotionally healthy relationship with their child. Parent EA predicts child development and characterizes behaviours across four dimensions: sensitivity, structuring, nonintrusiveness, and nonhostility. Little is known about the extent to which normative parenting behaviours are associated with concurrent child brain development during the second year of life when white matter tracts undergo significant maturational changes. This thesis aimed to address this gap by 1) identifying how parent EA is related to white matter organization in 2-year-old children and 2) exploring whether typical variations of parent behaviours moderate the associations between white matter microstructure and social-emotional development. Diffusion tensor imaging quantified the white matter microstructure of tracts involved in social and affective information processing. Parent EA was determined from short semi-structured parent-child interactions. The first study of this thesis did not find a significant relationship between composite parent EA scores and tract microstructure. The findings of the second study of this thesis suggested that toddlers with less mature white matter profiles may be more susceptible to social-emotional problems when exposed to hostile parent interactions. Further, children with more mature white matter profiles may be more resilient to the negative effects of parental hostility. Together, these findings suggest that parent EA may not be an important predictor for white matter microstructure in 2-year-old children, however, some aspects of the parent-child relationship (i.e., nonhostility) may have a role in shaping how white matter microstructure contributes to social-emotional development in early childhood. This thesis presents insights into how typical caregiver behaviours are associated with white matter microstructure and social-emotional outcomes during early childhood. Understanding how caregivers influence child development may inform behavioural targets for parenting intervention for non-clinical populations and empower more families in the community with strategies to support their child’s brain development and well-being.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".