Altered Network Efficiency in Isolated REM Sleep Behaviour Disorder: A Multicentric Study
Bibliographic record
Abstract
Abstract Isolated REM sleep behavior disorder (iRBD), a prodromal synucleinopathy, generally precedes Parkinson’s disease (PD) or dementia with Lewy bodies (DLB). While disruptions in structural brain connectivity have been reported in these diseases, their presence in prodromal phases such as iRBD remains unclear. In this cross-sectional study, we analysed diffusion MRI in a large multicentric dataset (198 iRBD, 174 controls), mapping white matter pathways between 462 regions. Comparing groups, we found disrupted structural connectivity in iRBD. This included reduced density in multiple cortical areas alongside focal increases suggesting compensation in parietal, orbitofrontal and visual cortices. Global and local efficiency were altered in iRBD, notably in motor-related regions (putamen, thalamus, sensorimotor and parietal cortices), and was associated with emerging motor features. Importantly, increased local efficiency in the supramarginal gyrus predicted phenoconversion to DLB, but not PD. These findings highlight early structural connectivity disruptions in iRBD, offering a potential marker for progression to DLB.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".