Olfactory and imaging features in atypical Alzheimer’s disease
Bibliographic record
Abstract
OBJECTIVES: Cognition and speech disorders are the most common symptoms of dementia in neurodegenerative disease. Here, we present a detailed clinical evaluation of a case of logopenic variant of primary progressive aphasia (lv-PPA), an atypical form of Alzheimer disease (AD), including cognitive testing over time, brain imaging, electrophysiology, and tests of olfactory function. CASE REPORT: We present the case of a 58-year-old man suffering from progressive language difficulties who was finally diagnosed with lv-PPA. Clinical data included neuropsychological examinations, electrophysiology tests, neuroimaging, biomarkers, olfactory tests, and olfactory functional magnetic resonance imaging (fMRI). RESULTS AND DISCUSSION: The patient suffered from language disorders, including stumbling speech and forgetting appropriate words and how to pronounce some words. This had started 2 years earlier, and he had begun to deteriorate in recent months. In addition to his speech disorder, scores on the Mini Mental State Examination and Montreal cognitive assessment indicated that his cognition was affected. Structural imaging revealed no obvious hippocampal atrophy (score of 1), and molecular imaging showed hypometabolism and amyloid deposits in the temporal parietal region. The patient also presented with olfactory impairment. Although his odour detection threshold was normal, his cognitive threshold for scent recognition was significantly increased. Olfactory fMRI showed that activation of the whole brain and primary olfactory cortex was rare. CONCLUSION: This case provides evidence suggesting that lv-PPA is an atypical form of AD, with symptoms including speech disorders and impaired cognition. This patient with lv-PPA presented with olfactory impairment.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".