Seizure‐induced microvascular injury is associated with impaired neurovascular coupling and blood–brain barrier dysfunction
Bibliographic record
Abstract
OBJECTIVE: Blood-brain barrier (BBB) impairment, redistribution of pericytes, and disturbances in cerebral blood flow may contribute to the increased seizure propensity and neurological comorbidities associated with epilepsy. However, despite the growing evidence of postictal disturbances in microcirculation, it is not known how recurrent seizures influence pericytic membrane currents and subsequent vasodilation. METHODS: conditions. To avoid the influence of arteriolar dilation and cerebral blood flow changes on the capillary response, we measured seizure-associated pericytic membrane currents, capillary motility, and permeability changes in a brain slice preparation. Arteriolar responses to 4-aminopyridine-induced seizures were further studied in anesthetized Sprague Dawley rats by using electrocorticography and tissue oxygen recordings simultaneously with intravital imaging of arteriolar diameter, BBB permeability, and cellular damage. RESULTS: Within the preserved vascular network in hippocampal slice cultures, pericytes regulated capillary diameter in response to vasoactive agents and neuronal activity. Seizures induced distinct patterns of membrane currents that contributed to the regulation of pericytic length. During the course of recurrent seizures, individual vasodilation responses eroded and BBB permeability increased, despite unaltered neurometabolic coupling. Reduced vascular responsiveness was associated with mitochondrial depolarization in pericytes. Subsequent capillary constriction preceded BBB opening, suggesting that pericyte injury mediates the breach in capillary integrity. In vivo findings were consistent with slice experiments, showing seizure-related neurovascular decoupling and BBB dysfunction in small cortical arterioles, accompanied by perivascular cellular injury despite normoxic conditions. SIGNIFICANCE: Our study presents a direct observation of gradually developing neurovascular decoupling during recurrent seizures and suggests pericytic injury as an inducer of vascular dysfunction in epilepsy.
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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".