0309 Concordance in Electroencephalography-Headband versus Polysomnography by Demographics and Cognitive Status
Bibliographic record
Abstract
Abstract Introduction Polysomnography (PSG) can be burdensome and alternative measures are needed to advance sleep research. We previously reported that a novel electroencephalography (EEG)-headband outperformed actigraphy when compared to PSG among older persons with sleep complaints. The current study examined the concordance of the EEG-headband with PSG, and variations in concordance by gender, race, and cognitive status. Methods Sixty community-living adults ≥60 years with self-reported sleep complaints completed a 7-day home-based sleep protocol with a novel EEG-headband (Beacon Biosignals) and one night of home-based polysomnography (NOX-A1 Sleep System). We evaluated the concordance of total sleep time [TST] and wake after sleep onset [WASO] between PSG and the EEG-headband using paired t-tests and two-way mixed effects intraclass correlation coefficients (ICC). We examined variations in concordance by gender, race, and the presence of mild cognitive impairment [MCI] (< 13 on the Montreal Cognitive Assessment short form) using Fisher Z-transformation to assess between-group differences in ICCs. Results Mean age was 74 years, 65% were women, 33.3% were people of color, and 35% had MCI. The EEG-headband showed excellent concordance with PSG when measuring TST (absolute difference -9.14 minutes [95% Confidence Interval -23.17, 4.89]; ICC= 0.83 [0.73, 0.89]) and good concordance when measuring WASO (absolute difference -17.11 [-13.71, -2.50]; ICC= 0.64 [0.47, 0.77]). Concordance in TST was significantly different between men and women (ICCs of 0.91 vs 0.67, respectively; p=0.01), but did not vary by race and cognitive status. Concordance in WASO did not vary by gender, race, or cognitive status. Conclusion Among community-living older adults with sleep disturbances, the EEG-headband showed good to excellent concordance with PSG when measuring TST and WASO. The EEG-headband is an acceptable alternative to PSG, including among people of color or persons with MCI. Reduced concordance in TST among women may have been due to differences in fit and/or contact of the headband with the scalp. Support (if any) NIA (K76AG0749505, R03AG073991, P30AG021342)
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".