L’influence de la puberté sur les circuits neuronaux sous-tendant la régulation des émotions : implications pour la compréhension des risques de troubles affectifs
Bibliographic record
Abstract
Adolescence, with the onset of puberty, represents a developmental period that, in the context of adverse events, renders youth vulnerable to the onset of psychopathology such as affective disorders. It is also a time when fronto-striatal-limbic systems supporting the processing and regulation of emotion and reward undergo important neuromaturational changes. Despite evidence from epidemiological research suggesting that, particularly in girls, the increase in the rate of depression is more strongly associated with pubertal development than maturational age, researchers are just beginning to scratch the surface regarding the specific influence of puberty on the development of fronto-striatal-limbic systems implicated in the pathophysiology of affective disorders. The goal of this review is to a) summarize findings from human neuroimaging studies focusing on the specific influence of puberty or sex hormones on the neurodevelopment of emotional processes, b) highlight the need for a better understanding of neurodevelopmental changes during puberty and how such changes could contribute to developmental trajectories toward the onset of an affective disorder and, c) discuss the potential value of investigating how these changes may contribute to unique opportunities for developing intervention strategies for affective disorders in 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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".