Atypical progressive supranuclear palsy underlying progressive apraxia of speech and nonfluent aphasia
Bibliographic record
Abstract
Progressive supranuclear palsy (PSP) is a clinicopathological entity typically presenting as an akinetic rigid syndrome with early falls, axial rigidity, vertical supranuclear gaze palsy and levodopa resistance. Pathological features consist of tau deposition in neuronal and glial cells located mainly in subcortical and brainstem structures. Rare cases with the pathological diagnosis of atypical PSP have been described in which neocortical tau deposition is more widespread than what is usually seen in typical PSP. Progressive nonfluent aphasia (PNFA) is a syndrome characterized by spontaneous nonfluent speech and early preserved comprehension of language. Apraxia of speech (AOS) is a motor speech disorder that may be a feature of PNFA. We report the clinical and pathological findings of four cases that presented with features most consistent with PNFA predominated by AOS. Pathological features in these four cases included the typical features of PSP subcortically and in brainstem structures, but combined with tau-positive neuronal and glial pathology in the neocortex. Comprehensive semiquantitative analyses of tau burden including neurofibrillary tangles and pretangles, coiled bodies, tufted astrocytes and threads were undertaken in the four cases of atypical PSP and compared to 10 cases of typical PSP. Semiquantitative analysis demonstrated that in atypical PSP, the pathology shifts from subcortical grey and brainstem regions, commonly affected in typical PSP, towards neocortical regions. This shift in pathology accounts for the presentation of PNFA and AOS observed in our patients, as well as the lack of classic features of PSP. These cases demonstrate that atypical PSP can present as AOS and PNFA without the classic features of PSP.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".