Combined damage produced by multiple mild cerebral insults assessed using MRI in neonatal rats
Bibliographic record
Abstract
To determine whether damage to neonatal brain is exacerbated with multiple mild cerebral insults as detected with MRI and corroborated using histology. The combined brain injury produced by multiple procedures was compared in neonatal rats having: Sham surgery at P5, Sham surgery at P5 plus a diffuse mild transient unilateral cerebral hypoxia ischemia (HI) at P7, HI alone, and a minor photothrombotic (PT) stroke at P5 followed by HI. MRI after the ischemic insults was followed by final histology. PT produced lesions with increased T2 and decreased apparent diffusion coefficient for water (ADC) but no significant effects of a second HI. However, near the PT lesion/parietal cortex there were patchy areas of enhanced T2 and decreased ADC in 6/9, 3/8 and 0/8 animals in the PT + HI, Sham + HI and HI groups, respectively (P<0.05). Patches corresponded histologically to increased vacuolation and cell death and were more pronounced in the PT + HI and Sham + PT groups than the HI group. The extent of damage produced by a minor neonatal stroke followed by a diffuse HI two days later results in heterogeneous enhancement of T2, ADC and histological injury near the lesion. Surgical procedures including mechanical head manipulation followed by HI also produced some enhanced heterogeneity of hypoxic-ischemic injury affirming the need for sham controls.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".