Association Between Gas‐Free Cerebrovascular Reactivity ( <scp>CVR</scp> ) and Cognitive Function in Older Adults With a High Risk for Vascular Dementia
Bibliographic record
Abstract
BACKGROUND: Vascular cognitive impairment and dementia (VCID) is the second leading cause of dementia. Cerebrovascular reactivity (CVR) is a promising biomarker for VCID. However, CVR is not commonly measured in clinical practice due to logistical difficulties in applying a hypercapnia challenge during MR imaging. PURPOSE: To investigate whether CVR measured by intermittent breath modulation (bm-CVR) without hypercapnia gas-inhalation can be a sensitive biomarker in VCID. STUDY TYPE: Prospective cohort study. SUBJECTS: Eighty-two participants (aged 66.8 ± 6.8 years, 54 females, 28 males) with normal cognition (N = 36), mild cognitive impairment (MCI, N = 37), or mild dementia (N = 9). FIELD STRENGTH/SEQUENCE: 3.0 T; Blood-oxygenation-level-dependence (BOLD) MRI. ASSESSMENT: CVR was measured with BOLD MRI using intermittent breath modulation. Cognitive function was measured with Montreal Cognitive Assessment (MoCA) score, cognitive domains scores, and a global composite cognitive score. Physical function was measured with gait-speed and chair-stand test scores. STATISTICAL TESTS: Multi-linear regression models were performed within the participants to test the associations between bm-CVR and measures of cognitive and physical functions. A p value < 0.05 was considered significant. Bonferroni multiple comparison correction was performed when multiple cognitive domains were tested. RESULTS: Whole-brain bm-CVR values were significantly associated with the diagnosis group of normal, MCI, and early dementia (β = -3.00%/mm Hg, 95% confidence interval (CI) [-5.42, -0.58]), and were lower in the impaired participants relative to participants with normal cognition (β = -2.18, CI [-3.91, -0.45]). Bm-CVR was positively associated with global cognition measured by both MoCA (β = 14.73, CI [1.74, 27.73]) and composite cognitive score (β = 2.22, CI [0.77, 3.66]). For domain-specific cognitive scores, bm-CVR was significantly associated with processing speed (β = 3.19, CI [1.36, 5.02]) and language (β = 2.81, CI [0.70, 4.94]), but not with executive function (p = 0.43) or episodic memory (p = 0.79). DATA CONCLUSION: Bm-CVR is a sensitive biomarker for VCID. This gas-free CVR method may be a more practical approach than hypercapnia gas-inhalation CVR for characterizing vascular pathology. EVIDENCE LEVEL: 2. TECHNICAL EFFICACY: Stage 2.
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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 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".