Intergenerational transmission of depression risk: Mothers’ neural response to reward and history of depression are associated with daughters’ neural response to reward across adolescence.
Bibliographic record
Abstract
Impaired reward responsiveness, a construct of the RDoC positive valence systems (PVS), prospectively predicts depression onset and may therefore represent an important marker of risk. Neural structures implicated in reward processing undergo substantial change during adolescence, a period of heightened risk for depression, particularly for those with a family history of the disorder. However, it is not clear whether familial transmission of PVS functioning also changes across adolescence, nor whether a family history of depression influences normative development of the PVS. To address these questions, mothers and their adolescent daughters each completed a monetary reward guessing task while an electroencephalogram was recorded (N = 109 dyads). Daughters' pubertal status significantly moderated the association between mothers' and daughters' reward processing in the delta frequency, such that there was a negative association for daughters in early puberty that shifted toward a positive association in later puberty. Furthermore, for never-depressed daughters without a maternal history of depression, more advanced pubertal development was associated with increased reward-related power in the delta frequency, whereas, for daughters with a maternal history of depression, more advanced pubertal development was associated with reduced power in the delta frequency. These data indicate that biomarkers of risk for psychopathology may differ as a function of both familial risk and developmental status. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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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) | 0.003 | 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".