Executive dysfunction and memory impairment in idiopathic REM sleep behavior disorder
Bibliographic record
Abstract
BACKGROUND: Idiopathic REM sleep behavior disorder (iRBD) might be a stage in the development of neurodegenerative disorders, especially Parkinson disease and dementia with Lewy bodies. Recent studies showing a slowing of waking EEG in iRBD suggest that iRBD is associated with cognitive impairment. OBJECTIVE: To compare patients with iRBD on measures of cognitive function and quantitative waking EEG. METHODS: Fourteen patients with iRBD and 14 healthy control subjects matched for age and educational level were studied. Subjects underwent an extensive neuropsychological evaluation and waking EEG recordings. RESULTS: Compared to controls, patients with iRBD showed a lower performance on neuropsychological tests measuring attention, executive functions, and verbal memory. Moreover, patients with iRBD showed EEG slowing (higher delta and theta power) during wakefulness in all brain areas compared to controls. However, no correlation was found between performance on cognitive tests and quantitative waking EEG in patients with iRBD. CONCLUSION: This study shows a co-occurrence of impaired cognitive profile and waking EEG slowing in patients with idiopathic REM sleep behavior disorder similar to that observed in early stages of some synucleinopathies.
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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) | 0.001 | 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) | 0.002 | 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".