The Developmental Trajectory of the Social Brain: A Movie-Based Exploration from childhood to adolescence
Bibliographic record
Abstract
Abstract In childhood and adolescence, functional brain networks go through different stages of development, and the levels of connectivity within and between these networks change with age. The developmental trajectory of these large-scale networks of the brain have been extensively investigated; however, many aspects of our social brain and its developmental patterns remain unclear. This study employed a cross-sectional design to investigate the brains of 753 children and adolescents (ages 5-15) while they watched a movie. This research investigates the functional distinctness and developmental synchronicity of brain areas implicated in social cognition, such as empathy and affective and cognitive theory of mind, across childhood and adolescence using generalized additive models and inter-region group analysis. Our findings suggest that social cognition components networks such as cognitive and affective theory of mind and empathy exhibit distinct developmental trajectories throughout childhood and adolescence. The findings support the theory that social cognitive networks are developmentally distinct from each other, even in the absence of task-specific paradigms.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".