Sex‐specific effects of neuropsychiatric symptoms on amyloid and tau pathology and white matter hyperintensity volume in preclinical Alzheimer's disease
Bibliographic record
Abstract
BACKGROUND: Neuropsychiatric symptoms (NPS) are highly prevalent in Alzheimer's disease (AD) and may constitute both risk factors and early signs of the disease. Cross-sectional and longitudinal studies have shown that NPS are associated with increased Aβ and tau burden in preclinical AD populations. The amygdala, a brain region involved in emotion modulation and processing, is among the most vulnerable regions to exhibit early tau deposition. Further, white matter hyperintensity (WMH) volume, another neurological correlate of AD, has been linked to worsening NPS, especially in frontotemporal regions. Interestingly, sex may also affect the incidence and prevalence of NPS in AD, with females being at higher risk than males. We assessed the associations between NPS and 1) Aβ, 2) amygdala tau and 3) frontal WMH burden in cognitively unimpaired older adults. Given that females reportedly exhibit greater NPS prevalence and severity, we hypothesized that these associations would be stronger in females; at higher levels of NPS, females should therefore exhibit greater pathology. METHOD: F-Flortaucipir) PET-scans. We conducted linear regressions using sex as an interaction term to assess the effect of NPS (apathy, anxiety, depression, stress, perseverative thinking and neuroticism) on global Aβ-PET standard uptake values ratio (SUVr), tau-PET SUVr in the amygdala, and WMH volume in the frontal lobe. These associations were also examined separately in males and females. All models were corrected for age, years of education, APOE4 carrier status and cardiovascular risk. RESULT: Despite females exhibiting greater NPS, several associations, particularly with WMH volume, were found in males, but not in females. Stress and depression were also associated with amyloid and amygdala tau deposition in males, while perseverative thinking was associated with amygdala tau deposition in females. CONCLUSION: We found associations between NPS and both MRI and PET markers of AD in cognitively unimpaired individuals at risk of AD. Some of these associations were stronger in males, despite females being at increased risk of AD and known to exhibit a higher prevalence of NPS.
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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 | 0.001 |
| 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 | 0.000 |
| 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".