In Vivo Optical Imaging of Ischemic Blood–Brain Barrier Disruption
Bibliographic record
Abstract
The blood-brain barrier (BBB) disruption following cerebral ischemia (stroke) contributes to the development of life-threatening brain edema. Recent studies suggested that the ischemic BBB disruption is not uniform throughout the affected brain region. The aim of this study was to establish in vivo optical imaging methods to assess the size selectivity and spatial distribution of the BBB disruption after a focal cerebral ischemia. The BBB permeability was assessed in mice subjected to a 60-min middle cerebral artery occlusion and 24 h of reperfusion using in vivo time domain near-infrared optical imaging after contrast enhancement with two tracers of different molecular size, Cy5.5 (1 kDa) and Cy5.5 conjugated with bovine serum albumin (BSA) (67 kDa). Volumetric reconstruction of contrast-enhanced brain areas in vivo and ex vivo indicated that the BSA-Cy5.5-enhancement is identical to the volume of infarct determined by TTC staining, whereas the volume of enhancement with Cy5.5 was 40% greater. The volume differential between areas of BBB disruption for small and large-size molecules could be useful for determining the size of peri-infarct tissues (penumbra) that can respond to neuroprotective therapies.
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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 | 0.000 |
| 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".