INCREASED CARDIOVASCULAR CAPACITY IS ASSOCIATED WITH CORTICAL THICKNESS IN OLDER ADULTS WITH VCI
Bibliographic record
Abstract
Vascular Cognitive Impairment (VCI), also known as vascular dementia, is after Alzheimer’s Disease (AD) the most common type of dementia worldwide. A common biomarker of AD is a decrease of cortical thickness. Hypertension and diabetes are common risk factors for cerebral small vessel disease, which contribute to the development of cognitive vascular impairment. Exercise is a promising strategy for altering the trajectory of dementia by altering brain structure and function. The aim of this study was to investigate the association between general cardiovascular capacity (Six-Minute Walk Test) and changes in cortical thickness in older adults with VCI. Seventy-one older adults aged 56–96 years with VCI were randomly assigned to either a 6-month trice-weekly aerobic training program, or a 6-month nutrition program (i.e., control). Participants performed a 3T MRI scan at baseline and trial completion to determine cortical thickness. Results showed that improved general cardiovascular capacity in the aerobic training group, measured by an increase in performance on the Six-Minute Walk Test, was correlated with a higher cortical thickness at six months (r= 0.56, p = 0.045). Thus, a 6-month aerobic training program might be a good strategy to prevent cortical thinning in older adults diagnosed with VCI.
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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 | 0.002 |
| 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".