Cortical Laminar Binding of PET Amyloid and Tau Tracers in Alzheimer Disease
Bibliographic record
Abstract
UNLABELLED: Neurofibrillary tau pathology and amyloid β (Aβ) plaques, characteristic lesions of Alzheimer disease (AD), show different neocortical laminar distributions. Neurofibrillary-tangle tau pathology tends to be closer to the gray matter-white matter boundary, whereas Aβ is dispersed throughout the width of the cortical ribbon. METHODS: Using PET radiotracers for tau and Aβ lesions, we developed an image analysis tool to measure the distance of tracer-positive voxels from the gray matter-white matter boundary. We studied 5 AD and 5 healthy subjects with both (18)F-THK5117 (tau) and (11)C-Pittsburgh compound B (Aβ) PET. RESULTS: On average, tau-positive voxels were closer to the white matter than were Aβ-positive voxels. This effect was found for all AD subjects and for all regions, both before and after regionally adjusting for the nonspecific white matter binding of both tracers. The differential laminar pattern was validated through postmortem examination. CONCLUSION: Within cortical lamina, distance measures may be of value in testing PET tracers for their anatomic selectivity.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".