Utilization of focused ultrasound for opening of the blood-nerve barrier
Bibliographic record
Abstract
Abstract Objective . Focused ultrasound (FUS) use with and without microbubbles (MB) for investigation of the blood-nerve barrier (BNB) within the peripheral nervous system (PNS) has been performed in this study. We evaluate the feasibility of BNB opening in a rodent sciatic nerve model by direct vision FUS treatment and provide preliminary results of magnetic resonance guided FUS (MRgFUS). Approach . Twenty rodent bilateral sciatic nerves were investigated. Rodents were treated using a benchtop FUS system to directly visualize nerve FUS studies. Definity MB, Evans blue dye (EB) and latex micro beads were injected during studies. Selected animals underwent further compound muscle action potential (CMAP) studies. Sonication peak pressure (MPa), width, duty-cycle and duration as well as MB concentration were varied to investigate effective pressure threshold. Further preliminary MRgFUS studies were performed on selected animals. Immunohistochemistry and histological analysis under florescent microscopy were performed at termination of experiments to verify treatment outcomes. Main results . Three ultrasound pressures and three microbubble concentrations at a single sonication frequency (476.5 kHz) were performed under direct open targeting. Histological analysis demonstrated nerve internal architecture disruption at 1.2 MPa with 166.7 μ l kg −1 while 0.3 MPa, with 40 μ l kg −1 MB concentration was the lower threshold for consistently observed disruption of the BNB without anatomical microarchitecture disruption. EB leakage was confirmed at the target region in histological evaluation of nerve following MB injection and FUS sonication. Supra-harmonic emissions were detected during FUS exposures following MB injection but not at baseline reference, indicating effective MB response and stable cavitation. CMAP amplitudes showed delayed onset latency and lower amplitudes in sonicated nerves compared to control nerves without evidence of complete conduction block, suggesting a transient BNB disruption, while at lower limit pressure subtle conduction changes were observed. In MRgFUS, targeted nerves demonstrated further contrast agent leak as well as supra-harmonic frequency detection. Significance . Opening of the BNB in the PNS was achieved using FUS and MB in a rodent model. Ongoing work aims to refine FUS parameters for drug delivery into the nerve after experimental transient BNB disruption.
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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".