Pearls & Oy-sters: Isolated Acquired Amusia in a Patient With Right Temporal Stroke
Bibliographic record
Abstract
Strokes in the right temporal lobe are known to cause acquired amusia, or deficits in music processing, which can be formally assessed using the online version of the Montreal Battery of Evaluation of Amusia (MBEA). Patients with acquired amusia most often present with not only amusia but also other neurologic symptoms, such as aphasia, neglect, or memory issues. We report a case of a 39-year-old man who initially presented for follow-up after a single seizure episode. Two years before the seizure, the patient experienced an episode of headache, nausea, and vomiting, after which he developed difficulty appreciating music and carrying a tune, something he had never experienced before as a competent trumpet player and singer. An MRI scan performed after his seizure revealed encephalomalacia and gliosis within the right lateral temporal lobe with areas of hemosiderin deposition, suggesting that the episode 2 years ago was a stroke. His standard neurologic examination was normal including a score of 30/30 on the Montreal Cognitive Assessment. On the online version of the MBEA, he scored 66.7% on the off-tune test, 87.5% on the off-beat test, and 70.8% on the out-of-key test, consistent with a diagnosis of amusia. This case highlights the importance of eliciting less common isolated neurologic symptoms in patients with an otherwise normal examination, including musical symptoms. We also highlight the utility of tools such as the MBEA to document the severity of amusia and potentially to follow patients' progress as they recover.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".