Dysgraphia in Relation to Cognitive Performance in Patients with Alzheimer’s Disease
Bibliographic record
Abstract
Dysgraphia has been observed in patients presenting mild to moderate levels of Alzheimer’s disease (AD) in several studies. In the present study, 30 AD patients and 30 matched healthy controls, originating from the Lazio region, Rome, Italy, were examined on tests of letter-writing ability and cognitive performance over a series of 10 test days that extended over 19 days (Test days: 1, 3, 5, 7, 9 11, 13, 15, 17, and 19). Consistent deficits by the AD patients over the initial cognition test (PQ1), 2nd cognition test (PQ2) and the difference between them (D∆), expressing deterioration, and writing-time compared the group of healthy control subjects were obtained. Furthermore, the performances of the AD patients on the PQ1, D∆ and writing-time, but not the PQ2, tests deteriorated from the 1st five days of testing (Days 1-9) to the 2nd five days (11-19). Both AD patients’ and healthy controls’ MMSE scores were markedly and significantly correlated with performance of PQ1, writing-time and PQ2. The extent of dysgraphia and progressive deficits in the AD patients implicate multiple brain regions in the loss of functional integrity.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".