Prenatal exposure to moderate levels of ethanol can have long-lasting effects on learning and memory in adult offspring
Bibliographic record
Abstract
Prenatal alcohol exposure can produce long-lasting cognitive and learning impairments in children. Previous studies have suggested that prenatal ethanol exposure can produce neurochemical abnormalities in hippocampal formation. We examined whether performance in the Morris water task, known to be sensitive to interference with hippocampal function, would be affected in adult offspring of rat dams who consumed moderate levels of ethanol through pregnancy. Rat dams consumed one of three diets throughout gestation: (1) Bio-Serve liquid diet containing 5% ethanol (v/v; 26% EDC), which produces a maternal peak blood ethanol concentration of 100 mg/dl; (2) pair fed an isocalorically equivalent amount of 0% ethanol liquid diet; or (3) laboratory chow ad libitum. Adult offspring from each of the three maternal diet conditions were trained in one of three versions of the Morris water task. We employed the “standard” fixed hidden platform task, the moving platform task, and a task that measures competition between cue and place navigation. All three groups learned to navigate normally in the fixed hidden platform version and showed clear preferences for the goal location during no-platform probe trials. In contrast, in the moving platform version and the cue versus place competition task, the prenatally exposed rats were abnormal relative to the rats of the other two maternal diet conditions. In both of these tasks, they behaved in a manner consistent with the idea that acquisition of new place information does not proceed as effectively as in normal rats. These data are consistent with the hypothesis that hippocampal circuitry and neurochemistry related to synaptic plasticity are important targets underlying at least some of the long-lasting deleterious cognitive effects of prenatal alcohol exposure.
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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 | 0.000 |
| 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 | 0.001 |
| 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".