Persistent Alterations of Brain and Behavior in Children With Low Prenatal Alcohol Exposure
Bibliographic record
Abstract
Background: Heavy prenatal alcohol exposure (PAE) is associated with alterations in behavior and cognitive and brain development. However, the effects of low levels of PAE on the brain and behavior remain unclear. In the current study, we aimed to investigate longitudinal changes in the brain and behavior in children with low levels of PAE compared with well-matched unexposed children. Methods: = 108, 9.52 [0.50] years at baseline) matched on socioeconomic status were selected from the ABCD (Adolescent Brain Cognitive Development) Study and were followed over 4 years with magnetic resonance imaging and Child Behavior Checklist (CBCL) scores. No children had adverse exposures to other substances. Results: Compared with unexposed children, children with low levels of PAE had persistently higher CBCL scores (worse behavior) and higher intracranial volumes over time. Conclusions: Our results provide further evidence of alterations in the brain and behavior associated with low levels of PAE across early adolescence, highlighting the importance of prevention and early intervention even with low levels of PAE.
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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 | 0.000 |
| 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".