Association of Cognitive Reserve and Preoperative Cognitive Function in Patients with Adult Moyamoya Disease: A Preliminary Study
Bibliographic record
Abstract
INTRODUCTION: Many patients with moyamoya disease (MMD) exhibit cognitive decline; however, the link between cognitive reserve (CR) and cognitive function in those who have not undergone revascularization remains unexplored. We aimed to evaluate preoperative cognitive impairment in such patients and to explore the relationship between CR, measured using the Cognitive Reserve Index questionnaire (CRIq), and cognitive abilities across different domains, determined using neuropsychological tests. METHODS: Demographic, clinical, CRIq, and neuropsychological assessment data were gathered from patients with MMD who underwent preoperative cognitive functional assessments at our center during 2021-2023. These patients were categorized according to their Montreal Cognitive Assessment score. Multivariable linear regression was performed to analyze the association between CRIq score and cognitive performance, both globally and in specific domains. RESULTS: In the MMD cohort of 53 patients, 49% (n = 26) of the patients exhibited a decrease in overall cognitive performance. Individuals with cognitive dysfunction had significantly lower composite CRIq scores than those with intact cognition. Although no association between overall cognitive ability and CR was observed, independent associations emerged between CR and specific cognitive functions - language (β = 0.56, p = 0.002), verbal memory (β = 0.45, p = 0.001), and executive function (β = 0.35, p = 0.03). CONCLUSION: This preliminary study revealed that expressive language, verbal memory, and executive function are linked to CR in presurgical patients with MMD, highlighting the role of CR in predicting cognitive outcomes. Further research is warranted to elucidate the combined effects of CR and other risk factors on the cognitive function of patients with MMD.
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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 | 0.001 |
| 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".