Evidence map›Paper›PMID 38937887›Full record

ArticleJournal of sleep research2025

The stability of slow-wave sleep and EEG oscillations across two consecutive nights of laboratory polysomnography in cognitively normal older adults.

Anna E Mullins, Shayna Pehel, Ankit Parekh, Korey Kam, Omonigho M Bubu, Thomas M Tolbert, David M Rapoport, Indu Ayappa, Andrew W Varga, Ricardo S Osorio

Abstract read
In one paragraph

Article in Journal of sleep research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Anna E MullinsMount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0002-5143-6977
Shayna PehelCenter for Sleep and Brain Health, Department of Psychiatry, NYU Grossman School of Medicine, New York, New York, USA.
Ankit ParekhMount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Korey KamMount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Omonigho M BubuCenter for Sleep and Brain Health, Department of Psychiatry, NYU Grossman School of Medicine, New York, New York, USA.
Thomas M TolbertMount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
David M RapoportMount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Indu AyappaMount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Andrew W VargaMount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Ricardo S OsorioCenter for Sleep and Brain Health, Department of Psychiatry, NYU Grossman School of Medicine, New York, New York, USA.

Funding

Conduits: Mount Sinai Health System Translational Science HubUL1TR004419 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Rosalind J Wright · 2022 to 2026
$46.4M
Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
Using a Health Disparity Research Framework to examine mechanisms linking Obstructive Sleep Apnea with higher Alzheimer’s disease risk in older Blacks/African-AmericansR01AG082278 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OMONIGHO A MICHAEL Bubu · 2023 to 2026
$6.9M
Slow wave sleep (SWS) and the effect of African ancestry on amyloid burden, a longitudinal studyR01AG056531 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JEAN-LOUIS, GIRARDIN, OSORIO, RICARDO S · 2018 to 2022
$6.7M
Promoting Academic Workforce Development in Behavioral Medicine and Sleep Disorders ResearchR25HL105444 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Tatjana Rundek · 2010 to 2026
$5.8M
Sleep Aging and Risk for Alzheimer's disease-Resubmission-1R01AG056031 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI OSORIO, RICARDO S · 2018 to 2022
$4.4M
Treatment of OSA on sleep-dependent memory and blood biomarkers in blacksRF1AG083975 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI OMONIGHO A MICHAEL Bubu, Korey Kam · 2023 to 2026
$4.2M
Impact of sleep apnea and its treatment on memory and tau accumulation in the brainR01AG066870 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI OSORIO, RICARDO S, VARGA, ANDREW W · 2020 to 2024
$3.7M
Role of slow waves and sleep apnea in memory and risk for Alzheimer diseaseR01AG056682 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI VARGA, ANDREW W · 2017 to 2021
$3.5M
Physiology guided AI for going beyond the AHI in Sleep ApneaR01HL171813 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ankit Ashok Parekh · 2024 to 2026
$2.5M
Multidisciplinary Research Training in Sleep ScienceT32HL160511 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI INDU A AYAPPA, ANDREW W VARGA · 2023 to 2026
$1.5M
Mentoring Research in the Physiology of Sleep Disordered BreathingK24HL109156 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI AYAPPA, INDU A · 2013 to 2023
$1.0M
NCATS NIH HHS UL1 TR004419NHLBI NIH HHS K24 HL109156NHLBI NIH HHS K25 HL151912NHLBI NIH HHS R01 HL171813NHLBI NIH HHS R21 HL165320NHLBI NIH HHS R21 HL173733NHLBI NIH HHS R25 HL105444NHLBI NIH HHS T32 HL160511NIA NIH HHS K23 AG068534NIA NIH HHS L30 AG064670NIA NIH HHS P30 AG066512NIA NIH HHS R01 AG056031NIA NIH HHS R01 AG056531NIA NIH HHS R01 AG056682NIA NIH HHS R01 AG066870NIA NIH HHS R01 AG082278NIA NIH HHS R21 AG055002NIA NIH HHS RF1 AG083975NIH HHS K24HL109156NIH HHS R01AG056031NIH HHS R01AG056531NIH HHS R01AG056682NIH HHS R01AG066870NIH HHS R21AG055002NIH HHS T32HL160511NIH HHS UL1TR004419
6 · The paper itself

Abstract

Laboratory polysomnography provides gold-standard measures of sleep physiology, but multi-night investigations are resource intensive. We assessed the night-to-night stability via reproducibility metrics for sleep macrostructure and electroencephalography oscillations in a group of cognitively normal adults attending two consecutive polysomnographies. Electroencephalographies were analysed using an automatic algorithm for detection of slow-wave activity, spindle and K-complex densities. Average differences between nights for sleep macrostructure, electroencephalography oscillations and sleep apnea severity were assessed, and test-retest reliability was determined using two-way intraclass correlations. Agreement was calculated using the smallest real differences between nights for all measures. Night 2 polysomnographies showed significantly greater time in bed, total sleep time (6.3 hr versus 6.8 hr, p < 0.001) and percentage of rapid eye movement sleep (17.5 versus 19.7, p < 0.001). Intraclass correlations were low for total sleep time, percentage of rapid eye movement sleep and sleep efficiency, moderate for percentage of slow-wave sleep and percentage of non-rapid eye movement 2 sleep, good for slow-wave activity and K-complex densities, and excellent for spindles and apnea-hypopnea index with hypopneas defined according to 4% oxygen desaturation criteria only. The smallest real difference values were proportionally high for most sleep macrostructure measures, indicating moderate agreement, and proportionally lower for most electroencephalography microstructure variables. Slow waves, K-complexes, spindles and apnea severity indices are highly reproducible across two consecutive nights of polysomnography. In contrast, sleep macrostructure measures all demonstrated poor reproducibility as indicated by low intraclass correlation values and moderate agreement. Although there were average differences in percentage of rapid eye movement sleep and total sleep time, these were numerically small and perhaps functionally or clinically less significant. One night of in-laboratory polysomnography is enough to provide stable, reproducible estimates of an individual's sleep concerning measures of slow-wave activity, spindles, K-complex densities and apnea severity.

Indexed as

ElectroencephalographyPolysomnographySleep, Slow-WaveAgedFemaleHumansMaleMiddle AgedReproducibility of ResultsSleep, REMSleep Stagesagreementquantitative electroencephalographyreliabilityreproducibilityvariability

Identifiers

PMID38937887
PMCPMC11671611

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.