REM sleep is associated with the integrity of the cholinergic basal forebrain in aMCI participants
Bibliographic record
Abstract
Abstract Background The basal forebrain cholinergic system (BFCS) degenerates in Alzheimer’s disease (AD) before the onset of dementia. Interestingly, rapid‐eye movement (REM) sleep is highly dependent on cholinergic activity. In AD patients, REM sleep duration is reduced but the underlying brain mechanisms are still unclear. Our objective was to investigate the associations between REM‐sleep quantity and BFCS integrity in participants with amnestic mild cognitive impairment (aMCI) compared to healthy controls. Method Sixty‐two participants (31 cognitively healthy: 66.8 ± 7.2 years old, 13 women; 31 aMCI: 68.3 ± 8.8 years old, 7 women) underwent polysomnography and structural magnetic resonance imaging examinations. REM sleep duration (number of minutes) and proportion (%) were computed. All participants had a REM sleep apnea‐hypopnea index <15. T1‐weighted images were preprocessed using CAT12 and the DARTEL algorithm, and the mean intensity of BFCS subregions (i.e., Ch1‐2‐3, Ch4 and total BFCS) was extracted using the JuBrain Anatomy Toolbox. Multiple regressions were performed between BFCS subregional intensities and REM sleep indices controlling for age, sex and total intracranial volume, in the whole cohort and in the two groups separately. Result In the whole cohort, REM sleep duration and proportion were positively associated with Ch4 intensity (duration: r = 0.31, p = 0.017; proportion: r = 0.35, p = 0.007; Figure 1A and B) and total BFCS intensity (duration: r = 0.31, p = 0.016; proportion: r = 0.29, p = 0.024). Analyses stratified by cognitive status showed the same pattern in aMCI participants: REM sleep duration and proportion were positively associated with both Ch4 intensity (duration: r = 0.44, p = 0.018; proportion: r = 0.49, p = 0.009; Figure 1C and D) and total BFCS intensity (duration: r = 0.46, p = 0.014; proportion: r = 0.46, p = 0.013). No significant association, nor trend, was found in cognitively healthy participants (Figure 1C and D). Conclusion In aMCI participants, lower REM sleep duration and proportion were associated with a decreased integrity of the BFCS, especially the Nucleus Basalis of Meynert. Our results support the notion that REM sleep alterations are an early marker of the degeneration of the BFCS in prodromal AD, before the onset of dementia.
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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) | 0.002 | 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".