Associations between neuropsychological profile and regional brain FDG uptake in progressive supranuclear palsy
Bibliographic record
Abstract
Background Progressive supranuclear palsy (PSP) is a rare neurodegenerative movement disorder clinically characterized by falls, axial rigidity, vertical supranuclear gaze palsy, bradykinesia, and cognitive decline. There is a relative lack of studies on the functional neuroimaging correlates of cognitive impairment in PSP. Objective This study investigated the relationship between regional cerebral glucose metabolism as assessed by static 18 F-fluorodeoxyglucose positron emission tomography (FDG-PET) with global scaling and the profile of cognitive performance according to the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) test battery in a sample of PSP patients representative of clinical practice. Methods 22 PSP patients from three tertiary movement disorder centers with CERAD testing and FDG-PET in close proximity were included retrospectively. Neuropsychological test performance was assessed for correlation with FDG uptake on a voxel-by-voxel basis with cluster-level correction for multiple testing, separately for each subtest. Results In comparison to matched healthy controls, PSP patients showed reduced FDG uptake in the left inferior frontal gyrus and right angular gyrus. Reduced overall cognitive performance according to Montreal Cognitive Assessment was associated with reduced FDG uptake in the right frontal eye field. Word list learning correlated with FDG uptake in the left frontal eye field, while language fluency was linked to FDG uptake in the bilateral premotor and supplementary motor areas. Conclusions Reduction of FDG uptake in PSP primarily affects frontal brain regions and is linked to the performance in specific cognitive domains. These findings may have implications for the interpretation of FDG-PET to support the etiological diagnosis 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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".