Evidence map›Paper›PMID 39429245›Full record

ArticleBrain communications2024

Non-rapid eye movement sleep slow-wave activity features are associated with amyloid accumulation in older adults with obstructive sleep apnoea.

Diego Z Carvalho, Vaclav Kremen, Filip Mivalt, Erik K St Louis, Stuart J McCarter, Jan Bukartyk, Scott A Przybelski, Michael G Kamykowski, Anthony J Spychalla, Mary M Machulda and 9 more

Abstract read
In one paragraph

Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Post-Ictal Sleep Changes in Human Focal Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
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

19 authors.

Diego Z CarvalhoDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Center for Sleep Medicine, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0002-8822-1638
Vaclav KremenDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0001-9844-7617
Filip MivaltDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0002-0693-9495
Erik K St LouisDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Center for Sleep Medicine, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0002-2833-8826
Stuart J McCarterDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Center for Sleep Medicine, Rochester, MN 55905, USA.
Jan BukartykDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Scott A PrzybelskiDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55905, USA.
Michael G KamykowskiDepartment of Information Technology, Mayo Clinic, Rochester, MN 55905, USA.
Anthony J SpychallaDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Mary M MachuldaDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN 55905, USA.
Bradley F BoeveDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Center for Sleep Medicine, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0002-4153-8187
Ronald C PetersenDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0001-7916-622X
Val J LoweDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0003-2770-0691
Gregory A WorrellDepartment of Neurology, Mayo Clinic, Rochester, MN 55905, USA.
Virend K SomersDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Andrew W VargaDivision of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID https://orcid.org/0000-0002-3668-3371
Prashanthi VemuriDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID https://orcid.org/0000-0003-4286-0589

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI KEJAL KANTARCI · 2019 to 2026
$33.5M
Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Margaret Sewell · 2020 to 2026
$31.0M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Investigating Resistance and Resilience Mechanisms in Alzheimer’s DiseaseR01AG056366 · NIA · MAYO CLINIC ROCHESTER · PI PRASHANTHI VEMURI · 2017 to 2026
$7.0M
Disease pathways in the population determined by amyloid, tau, and neurodegeneration imaging biomarkersR37AG011378 · NIA · MAYO CLINIC ROCHESTER · PI CLIFFORD R. JACK · 2018 to 2026
$6.8M
Validating the New Criteria for Preclinical Alzheimer's diseaseR01AG041851 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R., KNOPMAN, DAVID S · 2012 to 2021
$6.3M
Disease Mechanisms in Sleep ApneaR01HL065176 · NHLBI · MAYO CLINIC ROCHESTER · PI SOMERS, VIREND K · 1999 to 2021
$5.8M
Protecting the Confidentiality of Participants in Studies of Alzheimer's Disease and Related Dementias by Replacing Face Imagery in MRIR01AG068206 · NIA · MAYO CLINIC ROCHESTER · PI SCHWARZ, CHRISTOPHER GEORGE · 2021 to 2024
$3.2M
Development, Validation, and Application of an Imaging based CVD ScaleR01NS097495 · NINDS · MAYO CLINIC ROCHESTER · PI VEMURI, PRASHANTHI · 2016 to 2020
$2.9M
NHLBI NIH HHS R01 HL065176NIA NIH HHS P30 AG062677NIA NIH HHS P30 AG066514NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG041851NIA NIH HHS R01 AG056366NIA NIH HHS R01 AG068206NIA NIH HHS R37 AG011378NIA NIH HHS U01 AG006786NINDS NIH HHS R01 NS097495
6 · The paper itself

Abstract

Obstructive sleep apnoea (OSA) is associated with an increased risk for cognitive impairment and dementia, which likely involves Alzheimer's disease pathology. Non-rapid eye movement slow-wave activity (SWA) has been implicated in amyloid clearance, but it has not been studied in the context of longitudinal amyloid accumulation in OSA. This longitudinal retrospective study aims to investigate the relationship between polysomnographic and electrophysiological SWA features and amyloid accumulation. From the Mayo Clinic Study of Aging cohort, we identified 71 participants ≥60 years old with OSA (mean baseline age = 72.9 ± 7.5 years, 60.6% male, 93% cognitively unimpaired) who had at least 2 consecutive Amyloid Pittsburgh Compound B (PiB)-PET scans and a polysomnographic study within 5 years of the baseline scan and before the second scan. Annualized PiB-PET accumulation [global ΔPiB(log)/year] was estimated by the difference between the second and first log-transformed global PiB-PET uptake estimations divided by the interval between scans (years). Sixty-four participants were included in SWA analysis. SWA was characterized by the mean relative spectral power density (%) in slow oscillation (SO: 0.5-0.9 Hz) and delta (1-3.9 Hz) frequency bands and by their downslopes (SO-slope and delta-slope, respectively) during the diagnostic portion of polysomnography. We fit linear regression models to test for associations among global ΔPiB(log)/year, SWA features (mean SO% and delta% or mean SO-slope and delta-slope), and OSA severity markers, after adjusting for age at baseline PiB-PET,

Indexed as

Alzheimer’s diseaseamyloidobstructive sleep apnoeasleepslow-wave activity

Identifiers

PMID39429245
PMCPMC11487750

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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.