White matter hyperintensities and mild behavioural impairment: Findings from the MEMENTO Study
Bibliographic record
Abstract
Abstract Background Mild behavioural impairment (MBI) is a neurobehavioural syndrome characterized by the onset and persistence of neuropsychiatric symptoms (NPS) in later life. While the ATN framework provides a robust overview of Alzheimer’s pathology, it does not fully capture the impact of small‐vessel cerebrovascular disease in the pathogenesis of dementia. White matter hyperintensities (WMH) may independently contribute to the development of Alzheimer’s dementia and predict risk of incident dementia in mild cognitive impairment (MCI). Few studies have established the link between NPS and WMH in MCI populations. Method We included 760 participants from the French MEMENTO study with MCI and WMH data. WMH volumetry on T2‐weighted fluid attenuated inversion recovery images was identified using WHASA software, visually verified with the Fazekas and Schmidt scale, and expressed in cm3. Mean age was 72.7 (SD 8.0) and 57.9% of participants were female. Neuropsychiatric Inventory items were transformed to MBI domains using a published algorithm. MBI status was based on symptom persistence: NPS at both baseline and 6‐months was considered MBI+ (n = 227), whereas non‐persistent NPS (i.e., NPS at either time point but not both) or no NPS at either baseline or 6‐months was considered MBI‐ (n=549). We investigated the association between MBI status and the outcome variable, WMH, using a linear regression model adjusted for age, sex, education, Mini‐Mental Status Exam (MMSE) score, and total intracranial volume. Result MBI was present in 29.9% of participants (n = 227). MBI+ (i.e., persistent NPS) was significantly associated with lower MMSE score (p < 0.001) and male sex (p = 0.025). Compared to MBI‐, MBI+ was associated with 9.9% higher WMH volume [p = 0.006 (95% CI 2.8% to 18%), Table 1]. Conclusion In a memory clinic sample of older adults with MCI, MBI+, operationalized as persistent NPS, is associated with higher WMH. These findings extend the evidence base linking MBI with known dementia biomarkers and raise the possibility that some forms of MBI can be caused by vascular brain injury.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".