Occipital amyloid‐β burden and clinical correlates in Lewy body disease
Bibliographic record
Abstract
Abstract Background Accurate assessment of amyloid‐ß burden in Lewy body disease (LBD) is crucial due to the frequent co‐occurrence of amyloidosis. Current amyloid‐ß PET imaging protocols often overlook the occipital lobe, a relevant area in Lewy body disease (LBD). We aimed to determine whether regional amyloid‐ß in LBD is associated with global cognition, daily functioning, and neuropsychological performance. Method We included 193 Stanford research participants: 78 Cognitively Normal (CN), 42 Alzheimer’s disease (AD), 38 LBD‐Cognitively Normal (LBD‐CN), and 35 LBD‐Cognitively Impaired (LBD‐CI) who underwent 18F‐Florbetaben PET imaging (Table). We calculated SUVRs for the frontal, cingulate, parietal, temporal, and occipital regions using the cerebellum as the reference region. We then used linear regression models adjusted for age, sex, and education to examine the association between regional amyloid‐ß burden and global cognition (measured with MoCA), daily functioning (measured with CDR‐SB), and performance in memory, executive function, visuospatial function, and attention/working memory/processing speed (measured with composite scores). Result In the LBD‐CI group, amyloid‐ß burden in all regions, except the cingulate, was associated with worse MoCA (ß = ‐14.31 (SE = 3.59), p < 0.0001) (Figure) and CDR‐SB scores (ß = 5.05 (SE = 1.71), p < 0.004). Similarly, amyloid‐ß burden in the frontal (ß = ‐1.27 (SE = 0.60), p < 0.05), cingulate (ß = ‐1.24 (SE = 0.59), p < 0.05), parietal (ß = ‐1.42 (SE = 0.62), p < 0.05), and temporal (ß = ‐1.68 (SE = 0.70), p < 0.05) regions was associated with worse memory performance, whereas amyloid‐ß burden in the occipital region (ß = ‐1.76 (SE = 0.88), p < 0.05) was associated with worse executive function. However, only the association between occipital amyloid‐ß burden and MoCA scores survived multiple comparison correction. In the LBD‐CN group, regional amyloid‐ß burden showed no associations with clinical outcomes. Conclusion Our study suggests the potential significance of the occipital region in assessing amyloid‐ß burden among individuals with cognitive impairment due to LBD, as it is associated with worse global cognition. Further validation studies should include the occipital region when calculating SUVRs should be considered in people with LBD.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".