Anoxic Depolarization Mediates Acute Damage Independent of Glutamate in Neocortical Brain Slices
Bibliographic record
Abstract
An important but poorly understood event associated with ischemia is anoxic depolarization (AD), a sudden and profound depolarization of neurons and glia in cortical and subcortical gray matter. Leao first measured the AD as a wave of electrical silence moving across the cerebral cortex in 1947 and noted its similarity to spreading depression (SD). SD is harmless when coursing through normoxic cortical tissue as during migraine aura. However for 3-4 h following focal ischemia, the additional metabolic stress arising from recurring SD in the penumbra expands the ischemic core, so SD blockade is potentially beneficial therapeutically. In the present study, we measured intrinsic optical signals (IOSs) to monitor anoxic depolarization in submerged rat neocortical slices during O2/glucose deprivation (OGD). After approximately 6 min of OGD, the AD was imaged as a focal increase in light transmittance which then propagated across neocortical gray at approximately 2 mm/min. Although the slice was globally stressed, the AD always initiated focally, sometimes at multiple sites. Its propagation was coincident with a transient negative shift in the extracellular potential, the electrical signature of AD. Acute damage to neocortex (measured as a delayed decrease in LT and as a loss of the evoked field potential) followed only where the AD had propagated, so it is the combined metabolic demands of AD and OGD that acutely damages all layers of the neocortex. Glutamate receptor antagonists (2 mM kynurenate or 25 microM AP-5/10 microM CNQX) did not block AD initiation, slow its propagation or prevent post-AD damage. This study shows that acute ischemic damage is greatly exacerberated by AD during metabolic stress and that glutamate receptor antagonists are not protective. Using this slice model, therapeutically tolerable drugs that block the AD and SD can be investigated.
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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) | 0.001 | 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".