Probing Puberty as a Source of Developmental Change in Neural Response to Emotional Faces in Early Adolescence
Bibliographic record
Abstract
Pubertal development is theorized to shape the brain's response to socio-emotional information in the environment. Large-scale longitudinal studies, such as the Adolescent Brain Cognitive Development (ABCD) study, provide the opportunity to examine the association between pubertal maturation and within-person changes in neural activation to emotional stimuli over time. Leveraging ABCD data (n = 9648), the current study examines the coupling between parent-reported pubertal development and changes in youth's brain response to emotional faces in an emotional n-back task (during functional magnetic resonance imaging) across two timepoints (2 years apart). Bivariate latent change score models were fit to regions of interest canonically involved in face processing (fusiform), emotional/motivational salience (amygdala, nucleus accumbens, orbitofrontal cortex [OFC]), and social cognition (temporoparietal junction [TPJ]) to determine the associations between baseline pubertal status and neural response, and rate of change in either variable across time. Results point to both concurrent and longitudinal associations between pubertal maturation and neural activation to emotional faces in regions involved in processing emotional and social information (amygdala, TPJ, accumbens, OFC) but not basic facial processing (fusiform). These findings highlight pubertal maturation as a potential mechanism for change in neural response to emotional information during the transition from childhood to adolescence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".