[ <scp> <sup>11</sup> C </scp> ]( <i>R</i> )‐ <scp>PK11195</scp> Positron Emission Tomography Imaging of Skull Inflammation in Isolated Rapid‐Eye‐Movement Sleep Behavior Disorder
Bibliographic record
Abstract
BACKGROUND: Skull bone marrow is a specialized immune compartment supplying cells to the meninges. Experimental evidence suggests skull marrow activity may contribute to neuroinflammation in early Parkinson's disease, but in vivo assessment has not yet been performed in any α-synucleinopathy. OBJECTIVE: The objective is to assess skull/meningeal inflammatory activity in patients with isolated rapid-eye-movement sleep behavior disorder (iRBD). METHODS: C](R)-PK11195 positron emission tomography scans and were compared to 19 healthy controls. RESULTS: Global skull inflammation in the iRBD patients was 22.87% higher (95% confidence interval: 12.78-32.97) compared to controls, especially in frontal regions, differing from that previously reported in Alzheimer's disease and multiple sclerosis. This inflammation progressed during a 3-year follow-up period but did not correlate with phenoconversion. CONCLUSION: This is the first in vivo evidence of skull marrow activation in an α-synucleinopathy. Our findings support a role for the skull-meningeal immune axis in iRBD, linking peripheral and central inflammation in prodromal disease. © 2025 International Parkinson and Movement Disorder Society.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.002 | 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".