Evidence map›Paper›PMID 35377391›Full record

ArticleJAMA neurology2022

Subcortical Neuronal Correlates of Sleep in Neurodegenerative Diseases.

Jun Y Oh, Christine M Walsh, Kamalini Ranasinghe, Mihovil Mladinov, Felipe L Pereira, Cathrine Petersen, Neus Falgàs, Leslie Yack, Tia Lamore, Rakin Nasar and 17 more

Open access · greenAbstract read
In one paragraph

Article in JAMA neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

42 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Characterizing circadian rest-activity rhythm patterns across Alzheimer's disease continuum in Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Wake-promoting neuromodulators in Alzheimer's disease: Implications for sleep and brain clearance.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  9. Longitudinal association between sleep and Alzheimer's pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  10. Sex differences in neuromodulatory subcortical systems and their implications for Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
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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

27 authors at 6 institutions in 3 countries.

Jun Y OhMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Christine M WalshMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Kamalini RanasingheMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Mihovil MladinovMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Felipe L PereiraMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Cathrine PetersenMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Neus FalgàsMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Leslie YackStress and Health Research Program, Department of Mental Health, San Francisco VA Medical Center, San Francisco, California.
Tia LamoreMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Rakin NasarMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Caroline LewMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Song LiMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Thomas MetzlerStress and Health Research Program, Department of Mental Health, San Francisco VA Medical Center, San Francisco, California.
Quentin CoppolaMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Natalie PandherMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Michael LeMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Hilary W HeuerMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Helmut HeinsenDepartment of Psychiatry, University of Wurzburg, Wurzburg, Germany.
Salvatore SpinaMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
William W SeeleyMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Joel KramerMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Gil D RabinoviciMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Adam L BoxerMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Bruce L MillerMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Keith VosselDepartment of Neurology, University of California, Los Angeles, Los Angeles.
Thomas C NeylanMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
Lea T GrinbergMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.
University Memory and Aging Center · USUniversity of California, San Francisco · USSan Francisco VA Medical Center · USGlobal Brain Health Institute · USUniversity of California, Los Angeles · USUniversity of Würzburg · DE

Funding

Technology and Remote Assessment CoreU19AG063911 · NIA · MAYO CLINIC ROCHESTER · PI ADAM L. BOXER, Bradley F Boeve · 2019 to 2026
$120.9M
TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Gil Dan Rabinovici · 2019 to 2026
$36.9M
The Four Repeat Tauopathy Neuroimaging InitiativeR01AG038791 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOXER, ADAM L. · 2010 to 2020
$18.1M
Clinical Features and Neuropathological Basis of Sleep Wake Behavior in Alzheimer's and PSPR01AG060477 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Lea Tenenholz Grinberg, Thomas C Neylan · 2019 to 2026
$8.2M
Training - The Frontotemporal Lobar Degeneration Clinical Research ConsortiumU54NS092089 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BOXER, ADAM L. · 2014 to 2018
$6.4M
Biological Predictors Of Brain Aging Trajectories Diversity Supplement: African American Outreach And The Intersection Between Social Determinants Of Health And Biomarkers Of Degenerative DiseaseRF1AG032289 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRAMER, JOEL H · 2020 to 2021
$5.3M
Linking Sleep Dysfunction to Tau-related Degeneration across AD ProgressionR01AG064314 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRINBERG, LEA TENENHOLZ, NEYLAN, THOMAS C · 2019 to 2023
$4.0M
Neuropathological changes underlying clinical heterogeneity in Alzheimer diseaseK24AG053435 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRINBERG, LEA TENENHOLZ · 2016 to 2025
$1.8M
Neuropathological basis of brain network dysfunctionK08AG052648 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SPINA, SALVATORE · 2016 to 2020
$852k
NIA NIH HHS K08 AG052648NIA NIH HHS K24 AG053435NIA NIH HHS P01 AG019724NIA NIH HHS P30 AG062422NIA NIH HHS R01 AG038791NIA NIH HHS R01 AG060477NIA NIH HHS R01 AG064314NIA NIH HHS RF1 AG032289NIA NIH HHS U19 AG063911NINDS NIH HHS U54 NS092089
6 · The paper itself

Abstract

Importance: Sleep disturbance is common among patients with neurodegenerative diseases. Examining the subcortical neuronal correlates of sleep disturbances is important to understanding the early-stage sleep neurodegenerative phenomena. Objectives: To examine the correlation between the number of important subcortical wake-promoting neurons and clinical sleep phenotypes in patients with Alzheimer disease (AD) or progressive supranuclear palsy (PSP). Design, Setting, and Participants: This longitudinal cohort study enrolled 33 patients with AD, 20 patients with PSP, and 32 healthy individuals from the Memory and Aging Center of the University of California, San Francisco, between August 22, 2008, and December 31, 2020. Participants received electroencephalographic and polysomnographic sleep assessments. Postmortem neuronal analyses of brainstem hypothalamic wake-promoting neurons were performed and were included in the clinicopathological correlation analysis. No eligible participants were excluded from the study. Exposures: Electroencephalographic and polysomnographic assessment of sleep and postmortem immunohistological stereological analysis of 3 wake-promoting nuclei (noradrenergic locus coeruleus [LC], orexinergic lateral hypothalamic area [LHA], and histaminergic tuberomammillary nucleus [TMN]). Main Outcomes and Measures: Nocturnal sleep variables, including total sleep time, sleep maintenance, rapid eye movement (REM) latency, and time spent in REM sleep and stages 1, 2, and 3 of non-REM (NREM1, NREM2, and NREM3, respectively) sleep, and wake after sleep onset. Neurotransmitter, tau, and total neuronal counts of LC, LHA, and TMN. Results: Among 19 patients included in the clinicopathological correlation analysis, the mean (SD) age at death was 70.53 (7.75) years; 10 patients (52.6%) were female; and all patients were White. After adjusting for primary diagnosis, age, sex, and time between sleep analyses and death, greater numbers of LHA and TMN neurons were correlated with decreased homeostatic sleep drive, as observed by less total sleep time (LHA: r = -0.63; P = .009; TMN: r = -0.62; P = .008), lower sleep maintenance (LHA: r = -0.85; P < .001; TMN: r = -0.78; P < .001), and greater percentage of wake after sleep onset (LHA: r = 0.85; P < .001; TMN: r = 0.78; P < .001). In addition, greater numbers of LHA and TMN neurons were correlated with less NREM2 sleep (LHA: r = -0.76; P < .001; TMN: r = -0.73; P < .001). A greater number of TMN neurons was also correlated with less REM sleep (r = -0.61; P = .01). A greater number of LC neurons was mainly correlated with less total sleep time (r = -0.68; P = .008) and greater REM latency (r = 0.71; P = .006). The AD-predominant group had significantly greater sleep drive, including higher total sleep time (mean [SD], 0.49 [1.18] vs -1.09 [1.37]; P = .03), higher sleep maintenance (mean [SD], 0.18 [1.22] vs -1.53 [1.78]; P = .02), and lower percentage of wake after sleep onset during sleep period time (mean [SD], -0.18 [1.20] vs 1.49 [1.72]; P = .02) than the PSP-predominant group based on unbiased k-means clustering and principal component analyses. Conclusions and Relevance: In this cohort study, subcortical wake-promoting neurons were significantly correlated with sleep phenotypes in patients with AD and PSP, suggesting that the loss of wake-promoting neurons among patients with neurodegenerative conditions may disturb the control of sleep-wake homeostasis. These findings suggest that the subcortical system is a primary mechanism associated with sleep disturbances in the early stages of neurodegenerative diseases.

Indexed as

Alzheimer DiseaseNeurodegenerative DiseasesSleep Wake DisordersCohort StudiesFemaleHumansLongitudinal StudiesMaleNeuronsSleepWakefulness

Identifiers

PMID35377391
PMCPMC8981071
OpenAlexW4224277438

What OpenQuestion holds

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Registered trials

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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.