Imaging a concussion and the ensuing immune response at the blood–brain barrier
Bibliographic record
Abstract
Concussions can cause debilitating symptoms despite no evidence of structural changes on diagnostic imaging. The cellular events occurring in the brain parenchyma following concussion, especially repetitive concussion, are not well elucidated. We developed a concussion model to induce a confined area of injury without causing frank hemorrhage. Using intravital microscopy, we observe activation of the vasculature that supported neutrophil rolling and platelet adhesion but no overt cellular recruitment from blood into brain parenchyma. Activated resident, not monocyte-derived, macrophages relocated to the injury site via Cx3cr1 and phagocytosed dysfunctional/detached astrocytes via scavenger receptors and TLR4, particularly after repetitive concussion. Additionally, microglia sealed areas of blood-brain barrier (BBB) disruption via purinergic pathways. Using a splitCre approach to dissect microglia and perivascular macrophages, we show that microglial invasion into the injury site is key to reducing BBB disruption. Our data suggest that microglia repair the BBB following concussion, but in doing so significantly alter the cellular ultrastructure of the brain milieu.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".