Neurovascular coupling assessment by transcranial doppler in acute stroke could be informative of long-term cognitive status
Bibliographic record
Abstract
To assess whether Neurovascular Coupling (NVC) status in acute ischemic stroke predicts long-term cognitive impairment, this prospective study included consecutive ischemic stroke patients, without prior cognitive deficits, recruited between September 2021 and August 2022. Transcranial Doppler (TCD) monitoring was performed within 72 hours post-stroke to measure NVC, determined by peak relative increase in cerebral blood velocity (CBv) in the posterior cerebral artery (PCA) during a visual stimulus. Age-, gender-, and vascular risk factor-matched controls were included. The primary outcome was cognitive status at 12 months, evaluated using a 7-point cognitive scale. A total of 144 acute stroke patients and 40 controls were included. NVC exhibited a U-shaped association with long-term cognitive outcomes. Patients in both the lowest (CI95% 2.29 [1.23-4.28], p < 0.01) and highest (CI95% 0.53 [0.29-0.98], p = 0.04) quintiles of NVC magnitude had significantly worse cognitive scores at 12 months compared to those in the reference quintile. NVC assessment via TCD in the acute phase of ischemic stroke may serve as a predictor of long-term cognitive impairment, suggesting that both diminished and exaggerated NVC responses are linked to poorer cognitive outcomes.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".