Hemodynamic effects of cholinesterase inhibition in mild Alzheimer's disease
Bibliographic record
Abstract
PURPOSE: To evaluate the spatiotemporal progression of perfusion changes in early stages of Alzheimer's disease (AD), we imaged the perfusion response to pharmacological treatment in a group of mild AD patients and contrasted it to the perfusion of age-, sex-, and education-matched healthy volunteers over the same time interval. MATERIALS AND METHODS: We used pseudo continuous arterial spin labeling (PCASL) MRI for quantitative three-dimensional mapping of perfusion immediately before and 6 months after cholinesterase inhibitor treatment. RESULTS: Before treatment, patients were found hypoperfused relative to their healthy counterparts in the gray matter of lateral temporal lobe, posterior cingulate, and anterior cingulate as well as in the white matter of the posterior cingulate. Most of the cortical regions investigated and the white matter of posterior cingulate and prefrontal regions showed treatment-elicited increases in perfusion, which were not secondary to changes in regional tissue volume nor were they associated with improvement in either MMSE or ADAS-Cog scores, although lack of deterioration suggested a cognitive benefit. CONCLUSION: This study provides a hemodynamic profile of mild AD and sheds light on the perfusion changes related to prolonged cholinesterase inhibition in this early disease stage.
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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 | 0.000 |
| 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) | 0.000 | 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".