Bibliographic record
Abstract
The neural correlates of delusions in Alzheimer's disease (AD) remain unclear. This thesis examined the neuropathological, structural volumetric, and resting-state functional connectivity (rs-fc) correlates associated with delusions in AD. We hypothesized that delusional AD patients will have greater disease severity characterized by higher AD pathology load and increased atrophy, as well as altered rs-fc compared to non-delusional patients. We found that delusions were associated with Lewy body pathology, vascular pathology, and vascular risk factors, but were not correlated with increased AD pathology. Patients who developed delusions showed increased atrophy of regions within the default mode network (DMN) following the onset of delusions, while the cohort that did not develop delusions did not exhibit significant atrophy in the DMN over a similar time frame. We found that decreased connectivity within the DMN, in particular disintegration of the inferior parietal lobule with the overall network, may be associated with delusions in AD.%%%%M.Sc.
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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 | 0.000 | 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) | 0.001 | 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".