Association of Neonatal Midazolam Exposure With Hippocampal Growth and Working Memory Performance in Children Born Preterm
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Early exposure to analgesics and sedatives is a key concern for later learning disorders in children. The hippocampus, a key region for learning and memory, may be selectively affected by exposure to benzodiazepines that are commonly used for sedation, particularly in the neonatal period. In this prospective cohort study, the long-term association of neonatal midazolam exposure, a widely used benzodiazepine in neonatal intensive care, with school age hippocampal growth was examined. Higher-order cognitive function in preterm born children was assessed in relation to hippocampal volumes. METHODS: Very preterm born children underwent MRI to characterize the hippocampus and its subfields and neuropsychological testing. Generalized linear models were used to determine the predictors of 8-year hippocampal volumes. Children were assessed on the Wechsler Abbreviated Scales of Intelligence, Second Edition, and the Wechsler Intelligence Scales for Children, Fifth Edition (WISC-V). RESULTS: = 0.017). DISCUSSION: Early midazolam exposure and the association with impaired hippocampal growth seem long-lasting and are most apparent in boys. Alterations in subiculum volumes may underlie hippocampus-dependent memory formation processes in preterm born children exposed to midazolam as neonates.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".