Subcortical structures and the neurobiology of infant attachment disorganization: A longitudinal ultrasound imaging study
Bibliographic record
Abstract
Attachment disorganization in infancy is a risk factor for behavior problems and other psychopathology. Traditionally the role of parental behavior for qualitative differences in early attachment relationships has been emphasized. However, disrupted infant-parent interactions only partly explain attachment disorganization. A complementary focus on child factors such as early differences in the underlying neurobiological systems is needed. We examined whether early structural differences in the gangliothalamic ovoid, comprising the basal ganglia and the thalamus, are involved in the etiology of infant attachment disorganization. Gangliothalamic ovoid diameter was measured by ultrasound in 6-week-old participants of a prospective population-based cohort study. Attachment classification of 629 of these infants was assessed with the strange situation at 14 months of age. Neurobiological differences within the normal range were prospectively associated with attachment disorganization. Infants with a larger gangliothalamic ovoid at 6 weeks had a lower risk of attachment disorganization at 14 months (OR = 0.73 per SD increase in diameter, 95% CI 0.57-0.93, p < .05). Volume of the lateral ventricles as an index of general brain development was not associated with attachment disorganization. These findings provide new insight into the etiology of infant attachment disorganization that may in part be neurodevelopmentally determined.
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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 | 0.000 |
| 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) | 0.001 | 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".