Neurodevelopmental outcomes following prenatal exposure to serotonin reuptake inhibitor antidepressants: A “social teratogen” or moderator of developmental risk?
Bibliographic record
Abstract
Understanding how prenatal serotonin reuptake inhibitors (SRIs) influence early brain development can provide critical clues to how early life experience programs developing neural systems that might contribute to risks for illness across the life span. To date, no gross SRI-related neuroteratogenic effects have been identified, but evidence of subtle functional behavioral disturbances associated with fetal SRI exposure are emerging. Although some outcomes reflect a "main effect" for the SRI exposure, childhood development beyond infancy appears typical or continues to be influenced by life with a mother with a mood disturbance. Research shows that not all infants and children are equally affected; thus appreciating the effects of prenatal and postnatal maternal mental illness and of genetic variations that influence early serotonin signaling offers critical new insights into factors that contribute to developmental risk, plasticity, and resiliency in children with prenatal SRI exposure. Such a developmental perspective should lead us to understand what heightens or lessens neurodevelopmental vulnerability, thereby optimizing maternal pharmacotherapy and identifying who benefits and is least likely to experience neurobehavioral disturbances.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".