Blood-brain barrier disruption and increased free water are associated with worse cognitive performance in patients with chronic cerebrovascular disease
Bibliographic record
Abstract
Progression of cerebral small vessel disease (CSVD) is associated with cognitive decline. Blood-brain barrier disruption (BBBD) and fluid extravasation to the interstitial space may contribute to progression of white matter hyperintensities (WMH). We hypothesized that increased free water (FW) would colocalize with BBBD and relate to cognitive performance. Patients with ischemic stroke/TIA at least 3 months prior with at least early confluent WMH were studied cross-sectionally with the Montreal Cognitive Assessment (MoCA), diffusion tensor imaging, and dynamic susceptibility contrast imaging. White matter (WM) was segmented into WMH, WMH penumbra, and normal appearing white matter (NAWM). Colocalization of elevated FW and BBBD and their associations with MoCA performance were evaluated. 58 patients were included (mean age 69, 36 % female). Higher BBBD colocalized with elevated FW. Elevated FW in all white matter, NAWM, WMH penumbra, and WMH lesions was associated with lower MoCA score. Increased BBBD in all WM, NAWM, and WMH penumbra was associated with lower MoCA. In WMH penumbra, both elevated FW and increased BBBD were independently associated with lower MoCA. We found agreement between 2 different biomarkers implicated in the pathogenesis of CSVD that independently demonstrated association with cognitive performance when measured in the area of postulated disease activity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".