Differences in neuropsychological performance across clinical variants of progressive supranuclear palsy
Bibliographic record
Abstract
OBJECTIVE: We investigated differences in cognition between variants of progressive supranuclear palsy (PSP) including PSP-Richardson (PSP-RS) and subcortical and cortical variants using updated diagnostic criteria and comprehensive neuropsychological assessment. METHOD: We recruited 140 participants with PSP (age = 71.3 ± 6.9 years; education = 15.0 ± 2.8 years; 49.3% female) who completed neurological and neuropsychological assessment. Participants received diagnoses of PSP clinical variants at their evaluation (or retrospectively if evaluated before 2017) according to the Movement Disorder Society PSP criteria. We grouped variants as PSP-RS (62 participants), PSP-Cortical (25 with PSP-speech/language and 9 with PSP-corticobasal syndrome), and PSP-Subcortical (27 with PSP-parkinsonism, 11 with PSP-progressive gait freezing, and 6 with PSP-postural instability). Analysis of covariance adjusted for age assessed for differences in neuropsychological performance between variants across cognitive domains. RESULTS: PSP-Cortical participants performed worst on measures of visual attention/working memory (Spatial Span Forward/Backward/Total), executive function (Frontal Assessment Battery), and language (Letter Fluency). PSP-RS participants performed worst on verbal memory (Camden Words). There were no significant group differences for the MoCA or indices of visuospatial function. There were no sex or education differences between PSP groups; however, there were differences in age at visit and disease duration. CONCLUSIONS: In a large sample of participants with PSP, there were differences in cognition across PSP-RS, PSP-Subcortical, and PSP-Cortical variants, with PSP-Cortical and, to a lesser extent, PSP-RS, performing worse on tests of attention and executive function. These findings suggest cognitive distinctions among PSP clinical variants and highlight the value of neuropsychological assessment in differential diagnosis of PSP subtypes for more accurate and timely clinical classification.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".