0284 FUNCTIONAL CONNECTIVITY DURING REM SLEEP IN HEALTHY AGING
Bibliographic record
Abstract
Aging is associated with modifications in waking electroencephalographic (EEG) coherence, a measure of cerebral functional connectivity. EEG coherence in the alpha frequency band was reported to be lower in rapid eye movement (REM) sleep than during wakefulness in young individuals. The aim of this study was to compare EEG functional connectivity in REM sleep and in wakefulness in a group of elders with normal cognition. Thirty-two subjects without cognitive impairment (10 F; mean age 63.7 ± 6.6 years) underwent a neuropsychological evaluation, a night of polysomnography and a resting state EEG recording with 14 EEG electrodes. Imaginary coherence analyses were performed on manually selected artefact-free sections in both REM sleep and resting wakefulness. Four frequency bands (delta, theta, alpha and beta) were analysed. REM sleep and wakefulness (Fisher transform) were assessed with a Welch’s t-stat. Non-parametric test on the max-stat and a permutation resampling allowed to account for multiple comparisons (between pairs of electrodes) in a false discovery rate like thresholding (p<0.01). A global decrease of imaginary coherence was found for the alpha band in REM sleep compared to wakefulness. For delta and theta bands, imaginary interhemispheric coherence was lower in frontal areas (between F3-F4-F7-F8) but imaginary intrahemispheric coherence (between F3-C3-T5 and F4-C4-P4) was higher in REM sleep compared to wakefulness. REM sleep and wakefulness show robust differences in functional connectivity in elderly individuals with normal cognition. Future analyses will determine how these differences in coherence are associated to cognitive status in aging. Canadian Institutes of Health Research
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 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) | 0.000 | 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 teacher head, 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".