Evidence map›Paper›PMID 35970678›Full record

ArticleJournal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia2022

Correlations between sleep disturbance and brain structures associated with neurodegeneration in the National Alzheimer's Coordinating Center Uniform Data Set.

Shanna Burke, Adrienne Grudzien, Tan Li, Marlou Abril, Christine Spadola, Christopher Barnes, Kevin Hanson, Michael Grandner, Steven DeKosky

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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  6. 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

9 authors at 6 institutions in 1 country.

Shanna BurkeSchool of Social Work, Florida International University, Robert Stempel College of Public Health and Social Work, 11200 SW 8th St. Miami, FL 33199, United States. Electronic address: sburke@fiu.edu.
Adrienne GrudzienSchool of Social Work, Florida International University, Robert Stempel College of Public Health and Social Work, 11200 SW 8th St. Miami, FL 33199, United States. Electronic address: agrud001@fiu.edu.
Tan LiDepartment of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 S.W. 8th Street, Miami, FL 33199, United States. Electronic address: tanli@fiu.edu.
Marlou AbrilDepartment of Biostatistics, Robert Stempel College of Public Health and Social Work, Florida International University, 11200 S.W. 8th Street, Miami, FL 33199, United States. Electronic address: mabri012@fiu.edu.
Christine SpadolaThe University of Texas at Arlington, School of Social Work, 211 S. Cooper Street, Box 19129, Arlington, TX 76019-0129, United States. Electronic address: christine.spadola@uta.edu.
Christopher BarnesClinical and Translational Science Informatics and Technology, University of Florida Clinical and Translational Science Institute, College of Medicine, University of Florida, Gainesville, FL 32610, United States. Electronic address: cpb@ufl.edu.
Kevin HansonClinical and Translational Science Institute, Integrated Data Repository, College of Medicine, University of Florida, Gainesville, FL 32610, United States. Electronic address: kshanson@ufl.edu.
Michael GrandnerBehavioral Sleep Medicine Clinic, University of Arizona College of Medicine, 1501 N Campbell Avenue, Tucson, AZ 85724-5002, United States. Electronic address: grandner@email.arizona.edu.
Steven DeKoskyMcKnight Brain Institute, Aerts-Cosper Professor of Alzheimer's Research, Associate Director, 1Florida Alzheimer's Disease Center, Professor of Neurology and Neuroscience, University of Florida, College of Medicine, United States. Electronic address: Steven.DeKosky@neurology.ufl.edu.
Florida International University · USAlzheimer’s Disease Neuroimaging Initiative · USFlorida College · USThe University of Texas at Arlington · USUniversity of Arizona · USUniversity of Florida · US

Funding

THERAPEUTIC EFFECTS OF INTRA-NASAL INSULIN DETEMIRP50AG005136 · NIA · UNIVERSITY OF WASHINGTON · PI GRABOWSKI, THOMAS J. · 1985 to 2019
$57.2M
VIRUS-INDUCED BRAIN PATHOLOGYP50AG005131 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BREWER, JAMES B · 1985 to 2018
$55.4M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI FAGAN, ANNE · 1985 to 2019
$52.1M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI LEURGANS, SUE E. · 1991 to 2020
$49.1M
Satellite Diagnostic and Treatment Clinic CoreP50AG008702 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DE JAGER, PHILIP L · 1989 to 2019
$46.3M
National Alzheimer's Coordinating CenterU24AG072122 · NIA · UNIVERSITY OF WASHINGTON · PI STEPHENS, KARI A · 2021 to 2025
$45.8M
TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 1985 to 2019
$43.0M
THE ROLE OF ADVANCED CAA IN ALZHEIMER'S DEMENTIAP50AG005134 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI HYMAN, BRADLEY T. · 1985 to 2018
$42.1M
VASCULAR RISK AND COGNITIVE STATUS IN A LATINO POPULATIONP50AG005142 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BRASKIE, MEREDITH NICOLE · 1985 to 2019
$41.0M
VESICULAR LOCALIZATION AND FUNCTION OF PRESENILIN 1 FRAGMENTP50AG005138 · NIA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GROSSMAN, HILLEL · 1985 to 2019
$37.9M
'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI ALBERT, MARILYN S. · 1985 to 2019
$37.6M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
NIA NIH HHS L30 AG060524NIA NIH HHS P20 AG068024NIA NIH HHS P20 AG068053NIA NIH HHS P20 AG068077NIA NIH HHS P20 AG068082NIA NIH HHS P30 AG008017NIA NIH HHS P30 AG008051NIA NIH HHS P30 AG010124NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG010161NIA NIH HHS P30 AG012300NIA NIH HHS P30 AG013846NIA NIH HHS P30 AG013854NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG028383NIA NIH HHS P30 AG035982NIA NIH HHS P30 AG049638NIA NIH HHS P30 AG053760NIA NIH HHS P30 AG066506NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072958NIA NIH HHS P30 AG072959NIA NIH HHS P50 AG005131NIA NIH HHS P50 AG005133NIA NIH HHS P50 AG005134NIA NIH HHS P50 AG005136NIA NIH HHS P50 AG005138NIA NIH HHS P50 AG005142NIA NIH HHS P50 AG005146NIA NIH HHS P50 AG005681NIA NIH HHS P50 AG008702NIA NIH HHS P50 AG016573NIA NIH HHS P50 AG016574NIA NIH HHS P50 AG023501NIA NIH HHS P50 AG025688NIA NIH HHS P50 AG033514NIA NIH HHS P50 AG047266NIA NIH HHS P50 AG047270NIA NIH HHS P50 AG047366NIA NIH HHS U24 AG072122NIMHD NIH HHS U54 MD012393
6 · The paper itself

Abstract

This study aimed to 1) determine the association between sleep disturbance and brain structure volumes, 2) the moderation effect of apolipoprotein ε4 genotype on sleep disturbance and brain structures, and 3) the moderation effect of sleep disturbance on cognitive status and regional brain volumes. Using the National Alzheimer's Coordinating Center Uniform Data Set (n = 1,533), multiple linear regressions were used to evaluate the association between sleep disturbance and brain volumes. Sleep disturbance was measured using one question from the NPI-Q. After controlling for intracranial volume, age, sex, years of education, race, ethnicity, and applying the FDR correction, total cerebrospinal fluid volume, left lateral ventricle volume, total lateral ventricle volume, and total third ventricle volume demonstrated significantly higher means for those with sleep disturbance. Total brain volume, total white and gray matter volume, total cerebrum brain volume (including gray but not white matter), left hippocampus volume, total hippocampal volume, the left, right, and total frontal lobe cortical gray matter volume, and the left, right, and total temporal lobe cortical gray matter volume demonstrated significantly lower mean volumes for those with sleep disturbance. Sleep disturbance moderated the association between cognitive status and lateral ventricular volumes. These findings suggest that disrupted sleep is associated with atrophy across multiple brain regions and ventricular hydrocephalus ex vacuo.

Indexed as

Alzheimer DiseaseSleep Wake DisordersBrainGray MatterHumansMagnetic Resonance ImagingSleepApolipoprotein e4Cognitive statusSleep disturbanceStructural magnetic resonance imaging

Identifiers

PMID35970678
PMCPMC9671822
OpenAlexW4291033981

What OpenQuestion holds

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Registered trials

None linked

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.