Evidence map›Paper›PMID 34655980›Full record

ArticleNeurobiology of aging2022

Regional age-related atrophy after screening for preclinical alzheimer disease.

Lauren N Koenig, Pamela LaMontagne, Matthew F Glasser, Randall Bateman, David Holtzman, Igor Yakushev, Jasmeer Chhatwal, Gregory S Day, Clifford Jack, Catherine Mummery and 6 more

Open access · greenAbstract read
In one paragraph

Article in Neurobiology of aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 22 citations in OpenAlex.

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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

16 authors at 6 institutions in 3 countries.

Lauren N KoenigDepartment of Radiology, Washington Universit, St Louis, MO, USA.
Pamela LaMontagneDepartment of Radiology, Washington Universit, St Louis, MO, USA.
Matthew F GlasserDepartment of Radiology, Washington Universit, St Louis, MO, USA; Department of Neuroscience, Washington University School of Medicine, St Louis, MO USA.
Randall BatemanDepartment of Neurology, Washington University, St. Louis, MO, USA; Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, School of Medicine, St. Louis, MO, USA.
David HoltzmanDepartment of Neurology, Washington University, St. Louis, MO, USA; Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, School of Medicine, St. Louis, MO, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA.
Igor YakushevDepartment of Nuclear Medicine, Technical University of Munich, Munich, Germany.
Jasmeer ChhatwalDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Gregory S DayDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA.
Clifford JackDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Catherine MummeryDementia Research Center, UCL Queen Square Institute of Neurology, London, UK.
Richard J PerrinCharles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, School of Medicine, St. Louis, MO, USA; Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
Brian A GordonDepartment of Neurology, Washington University, St. Louis, MO, USA; Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, School of Medicine, St. Louis, MO, USA; Department of Psychological & Brain Sciences, Washington University School of Medicine, St. Louis, MO, USA.
John C MorrisDepartment of Neurology, Washington University, St. Louis, MO, USA; Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, School of Medicine, St. Louis, MO, USA.
Joshua S ShimonyDepartment of Radiology, Washington Universit, St Louis, MO, USA.
Tammie L S BenzingerDepartment of Radiology, Washington Universit, St Louis, MO, USA; Charles F. and Joanne Knight Alzheimer Disease Research Center, Washington University, School of Medicine, St. Louis, MO, USA. Electronic address: benzingert@wustl.edu.
Dominantly Inherited Alzheimer Network (DIAN)
Washington University in St. Louis · USHarvard University · USMayo Clinic in Arizona · USNIHR Queen Square Dementia Biomedical Research Unit · GBTechnical University of Munich · DEWinnMed · US

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2005 to 2025
$49.5M
Dominantly Inherited Alzheimer NetworkUF1AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2014 to 2017
$21.6M
PURCHASE OF A SIEMENS NEXT GENERATION PET/CTS10OD025214 · OD · WASHINGTON UNIVERSITY · PI WOODARD, PAMELA K · 2018 to 2018
$2.0M
Neuroimaging Markers of Emerging Dysfunction In Preclinical Alzheimer DiseaseK01AG053474 · NIA · WASHINGTON UNIVERSITY · PI GORDON, BRIAN ANDREW · 2017 to 2021
$623k
NIA NIH HHS K01 AG053474NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS U19 AG032438NIA NIH HHS UF1 AG032438NIH HHS S10 OD025214
6 · The paper itself

Abstract

Brain atrophy occurs in aging even in the absence of dementia, but it is unclear to what extent this is due to undetected preclinical Alzheimer disease. Here we examine a cross-sectional cohort (ages 18-88) free from confounding influence of preclinical Alzheimer disease, as determined by amyloid PET scans and three years of clinical evaluation post-imaging. We determine the regional strength of age-related atrophy using linear modeling of brain volumes and cortical thicknesses with age. Age-related atrophy was seen in nearly all regions, with greatest effects in the temporal lobe and subcortical regions. When modeling age with the estimated derivative of smoothed aging curves, we found that the temporal lobe declined linearly with age, subcortical regions declined faster at later ages, and frontal regions declined slower at later ages than during midlife. This age-derivative pattern was distinct from the linear measure of age-related atrophy and significantly associated with a measure of myelin. Atrophy did not detectably differ from a preclinical Alzheimer disease cohort when age ranges were matched.

Indexed as

AdolescentAdultAgedAged, 80 and overAgingAlzheimer DiseaseAtrophyBrainCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedMyelin SheathPositron-Emission TomographyMagnetic Resonance Imaging (MRI)Normal AgingPreclinical Alzheimer diseaseVolumetrics

Identifiers

PMID34655980
PMCPMC9009406
OpenAlexW3200751732

What OpenQuestion holds

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LicenceTDM
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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.