Characterizing the Effect of Maternal Hyperoxygenation on Fetal Brain Volume with MRI in a Mouse Model of Hypoplastic Left Heart Syndrome
Bibliographic record
Abstract
Congenital heart disease (CHD) is associated with low brain perfusion and low cerebraloxygenation in pregnancy, a major contributor to altered neurodevelopment arising during the fetal period and persisting after birth. Chronic maternal hyperoxygenation (CMH) has been proposed to increase fetal cerebral oxygenation in CHD fetuses. My project investigated how CMH from mid- to late-gestation affects term fetal brain volume in a cardiac-specific mouse model of Hypoplastic Left Heart Syndrome, one of the most severe types of CHD. T2-weighted MRI results showed CMH-treated HLHS fetuses had decreased whole brain volume and decreased fetal weight when compared to untreated Sham controls. After accounting for fetal weight variations, whole brain volumes of CMH-treated HLHS fetuses still exhibited a trending decrease. At the regional brain level, CMH significantly increased the volume of the intermediate zone of cortex that was lowered in un-treated HLHS fetuses. These data suggest that increasing fetal cerebral oxygenation seems promising to rescue developing cortical structures, but an alternative oxygen delivery method is advisable to alleviate the negative impact on fetal weight.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".