PERI-INFARCT SUSCEPTIBILITY OF WHITE MATTER COMPARED TO GRAY MATTER FOLLOWING ISCHEMIC STROKE
Bibliographic record
Abstract
Stroke is the second largest cause of death worldwide, with 80% being ischemic. Cells with no blood supply die via necrosis, forming the ischemic core. Adjacent to the ischemic core is an area of reduced blood flow, called the peri-infarct zone, which may have distinct injury/recovery processes. Thus, the study of the peri-infarct zone may improve stroke treatment. Neonatal white matter has a higher susceptibility to injury from ischemia than gray matter in rats. Therefore, white matter may require different treatment than gray matter. The purpose of the study was to discover whether peri-infarct white matter in adult rats is more susceptible than gray matter to ischemic changes. The hypothesis is that adult rat peri-infarct white matter is more susceptible to ischemic changes than gray matter following a stroke. Rose Bengal was injected into 22 Wistar adult rats and exposed to white light, causing blood coagulation. The rat brains were scanned by an MR machine and acquired as T 2 weighted sequence images. Slices were visually assessed to determine anterior/posterior boundaries of peri-infarct zone and had three regions measured on five major slices. The T 2 values were expressed as percentages of their respective controls. Histology slides of the brains were stained with Luxol Fast Blue and H&E. The three previously measured regions were visually assessed on the histology and scored YES or NO for signs of tissue injury/changes in myelination. Two general patterns of T 2 values appeared, separated into two groups: posterior increased (PI) and core centered (CC). When comparing white matter T 2 values between the two groups, posterior peri-infarct slices were significantly greater than anterior peri-infarct slices. There was a significant difference between white matter and upper cortex gray matter in posterior mild lesion slices of the PI group (p value = 0.031). The myelination score was NO for all central slices. 4/5 of the animals of the PI group had obvious signs of tissue injury at the deep cortex central lesion slice. There were no signs of injury in the CC group. There was, however, high correlation between deep cortex T 2 values and H&E tissue injury rankings (p = 2.0 x 10 -7 ). Meanwhile, white matter T 2 values and H&E scores were not significant (p = 0.182). At posterior slices remote from the ischemic core, signs of ischemic T 2 changes of white matter was greater than gray matter in the PI group. These changes were not observed in the CC group. Comparing central slice of PI and CC groups showed greater T 2 responses occurred in the PI group than in the CC group, suggesting a more severe ischemic insult occurred in animals of the PI group. However, posterior peri-infarct white matter did not show greater signs of tissue injury detectable by H&E than gray matter. The enhanced T 2 ischemic changes in posterior peri-infarct white matter appears to be due to reasons other than tissue injury detectable by H&E staining, such as cerebral edema and microscopic axonal injury. In conclusion, the data supports that white matter in adult rats can be more susceptible than gray matter to peri-infarct ischemic changes detected in the form of T 2 changes, specifically posterior to the ischemic lesion. Increased T 2 changes are a reflection of ischemic changes that could benefit from novel treatments targeted at white matter.
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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 | 0.001 | 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) | 0.002 | 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".