Memory for Melodies and Lyrics in Alzheimer's Disease
Bibliographic record
Abstract
this research addressed the question: is musical memory preserved in dementia, specifically, dementia of the Alzheimer type (AD)? Six tests involving different aspects of melody and language processing were administered to each of five groups of participants: 50 younger adults, 100 older adults, and 50 AD older adults classified into three levels of AD severity—mild, moderate and severe. No test was immune to, but not all tests were equally sensitive to, the presence of dementia. Long-term familiarity for melody was preserved across levels of AD, even at the severe stage for a few individuals. Detecting pitch distortions in melodies was possible for mild and some of the moderate AD participants. The ability to sing a melody when prompted by its lyrics was retained at the mild stage and was retained by a few individuals through the severe stages of AD. Long-term familiarity with the lyrics of familiar melodies was also found across levels of AD. In contrast, detection of grammatical distortions in the lyrics of familiar melodies and the ability to complete familiar proverbs were affected even at the mild stage of AD. We conclude that musical semantic memory may be spared through the mild and moderate stages of AD and may be preserved even in some individuals at the severe 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 | 0.001 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".