Different β-amyloid binding patterns in Alzheimer and Parkinson diseases
Bibliographic record
Abstract
11C-Pittsburgh compound B (PiB) PET is a sensitive and increasingly popular imaging tool for assessing the deposition of fibrillar β-amyloid aggregates in the brains of living patients with Alzheimer disease (AD). Increased cortical PiB binding also occurs in dementia with Lewy bodies, but rarely in cognitively impaired individuals with Parkinson disease (PD).1,2 To date, most PiB PET studies have focused on identifying significant group differences in radiotracer binding in single brain regions or in the cortex overall. However, recent evidence suggests that the deposition of protein aggregates in neurodegenerative disorders evolves at the systems level, with involvement of discrete sets of interconnected brain regions.3,4 In this regard, techniques of pattern analysis based upon principal component analysis (PCA) and other multivariate procedures are increasingly used to quantify disease-related circuit changes in functional brain images.5
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.011 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".