Beyond the cerebellum: perivascular space burden in spinocerebellar ataxia type 3 extends to multiple brain regions
Bibliographic record
Abstract
Spinocerebellar ataxia type 3 (SCA3) is an uncommon inherited (autosomal dominant) neurodegenerative disorder caused by abnormal accumulation of ataxin-3 protein. The perivascular space (PVS) burden reflects protein clearance and may worsen in SCA3 disease. This study aimed to quantify the PVS burden and investigate the relationship between the PVS burden and clinical characteristics in individuals with SCA3. This study enrolled 43 SCA3 patients and 43 age- and sex-matched healthy controls (HCs). The cross-sectional study assessed the severity of ataxia in SCA3 patients using the Scale for the Assessment and Rating of Ataxia (SARA) and the International Cooperative Ataxia Rating Scale (ICARS). Various cognitive functions were evaluated in all subjects using the Montreal Cognitive Assessment (MoCA), Rapid Verbal Retrieval (RAR) and Digital Span Test (DST) scales. MRI was used to automatically segment the PVS in all subjects and quantify the PVS burden in 15 brain regions. Compared with the HCs, the SCA3 patients showed a significantly higher PVS burden in the basal ganglia, temporal lobe, right parietal lobe and right cerebellum. There was a positive correlation in motor dysfunction between the PVS volume in the left parietal lobe, right cerebellum and PVS number in the right cerebellum with the SARA and ICARS scores. This study showed that SCA3 patients have an increased PVS burden in many brain regions, leading to motor impairment. The PVS burden could be a new imaging biomarker for disease monitoring and a therapeutic target for SCA3.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".