Two-Photon Fluorescence Microscopy Study of Cerebrovascular Dynamics in Ultrasound-Induced Blood—Brain Barrier Opening
Bibliographic record
Abstract
Blood-brain barrier (BBB) disruption can be achieved with ultrasound (US) and circulating microbubble (MB) contrast agent. Using dorsal US sonication and Definity, an MB contrast agent, responses of the cortical cerebral vasculature to BBB opening were observed with varying acoustic peak negative pressure (0.071 to 0.25 MPa) under two-photon microscope. Wistar rats with a craniotomy were sonicated with a single piezoelectric transducer following the intravenous injection of Texas Red for visualization of vasculature and leakage from BBB opening. Based on time-dependent intensity change in the extravascular area, the leakage was classified into three types: fast, sustained, and slow. Fast leakage was characterized by a rapid increase to peak intensity during sonication, but a decrease afterwards, occurring at all pressures and vessels sizes analyzed in our study. Sustained leakage was indicated by a similar, immediate increase to peak intensity but one that remained elevated for the duration of imaging, occurring at low-to-intermediate pressures. Slow leakage began 5 to 15 minutes after sonication, dominating at low pressures, and was more prevalent among smaller vessels than fast and sustained leakage. Our study showed the possibility of controlling leakage type and vessel size in US-induced BBB opening through varying acoustic pressure.
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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 | 0.001 |
| 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".