Limbic brain subregions associated with mental health symptoms in youth with and without prenatal alcohol exposure
Bibliographic record
Abstract
BACKGROUND: Prenatal alcohol exposure (PAE) can result in reduced brain volume and an increased risk of mental health challenges. Limbic brain structures such as the hippocampus, thalamus, and amygdala often exhibit smaller volumes in youth with PAE, and similar volume reductions are observed in unexposed youth with symptoms of depression, bipolar disorder, anxiety, and schizophrenia. However, the role of volume reductions in these brain regions in mental health challenges remains unclear for individuals with PAE. METHODS: Thirty-four youth with PAE and 72 unexposed youth aged 7-16 years completed a T1-weighted magnetic resonance imaging scan. FreeSurfer was used to process and extract volumes for hippocampal subfields, thalamic subnuclei, and amygdalar subnuclei. Depression and anxiety symptoms were measured using the Behavioral Assessment System for Children (BASC-2/3-PRS), the Children's Depression Inventory, and the Multidimensional Anxiety Scale for Children. We tested whether limbic subregion volumes differed between youth with and those without PAE and whether volumes were associated with depression and/or anxiety symptoms, controlling for age and gender. RESULTS: Multiple hippocampal and thalamic subregions, but not amygdalar subnuclei, were smaller in individuals with PAE. Multiple group-brain interactions were observed for depression symptoms and subregion volumes. Negative associations between anxiety and limbic subregions were observed across groups. CONCLUSIONS: These findings show extensive volume reductions in the hippocampus and thalamus in youth with PAE. PAE also appears to disrupt the association between depression symptoms and limbic subregions in youth, which may have implications for interventions in these individuals. Anxiety symptoms in youth with and without PAE are similarly associated with limbic volumes.
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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".