Correlating Neuropsychiatric Symptoms with Regional Beta-Amyloid Load in the Alzheimerâs Disease Brain Using [11C]SB-13 Positron Emission Tomography
Bibliographic record
Abstract
Correlations between neuropsychiatric symptoms and beta-amyloid (Aβ) burden in specific brain regions in living Alzheimerâs disease (AD) patients remain to be elucidated. Ten mild AD patients underwent MR and [11C]SB-13 PET imaging. Neuropsychiatric symptoms were quantified with the Neuropsychiatric Inventory (NPI). NPI-depression/dysphoria, -apathy, -agitation/aggression, -anxiety, and -appetite/eating disorders scores were hypothesized to correlate with Aβ burden in particular brain regions. Pearsonâs correlation coefficient revealed that depression/dysphoria scores positively correlated (p<0.05) with standardized uptake values (SUVs) from left medial temporal lobe (r=0.67), and agitation/aggression correlated with SUVs from bilateral anterior cingulate (right, r=0.71; left, r=0.78), temporal (right, r=0.71; left, r=0.75), parietal (right, r=0.77; left, r=0.81), and dorsolateral prefrontal cortex (right, r=0.74; left, r=0.73). However, NPI scores did not significantly correlate with better estimates of Aβ burden that use the cerebellum as reference region. Overall, our results confirm the lack of association between Aβ burden and neuropsychiatric symptoms reported in autopsy studies.
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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 | 0.000 |
| 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".