Evidence map›Paper›PMID 37343448›Full record

ArticleNeurobiology of aging2023

Higher cortical thickness/volume in Alzheimer's-related regions: protective factor or risk factor?

McKenna E Williams, Jeremy A Elman, Tyler R Bell, Anders M Dale, Lisa T Eyler, Christine Fennema-Notestine, Carol E Franz, Nathan A Gillespie, Donald J Hagler, Michael J Lyons and 6 more

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

Article in Neurobiology of aging, 2023. 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
3.3field-weighted citation impact, top 7% 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, 15 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 5 institutions in 1 country.

McKenna E WilliamsCenter for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA. Electronic address: mewillia@health.ucsd.edu.
Jeremy A ElmanCenter for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Tyler R BellCenter for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Anders M DaleDepartment of Radiology, University of California San Diego, La Jolla, CA, USA; Department of Neuroscience, University of California San Diego, La Jolla, CA, USA.
Lisa T EylerDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA; Desert Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA, USA.
Christine Fennema-NotestineDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA; Department of Radiology, University of California San Diego, La Jolla, CA, USA.
Carol E FranzCenter for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Nathan A GillespieVirginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Donald J HaglerDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Michael J LyonsDepartment of Psychological and Brain Sciences, Boston University, Boston, MA, USA.
Linda K McEvoyDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Michael C NealeVirginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Matthew S PanizzonCenter for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Chandra A ReynoldsDepartment of Psychology, University of California Riverside, Riverside, CA, USA.
Mark Sanderson-CiminoCenter for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California, San Diego, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
William S KremenCenter for Behavior Genetics of Aging, University of California San Diego, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA.
University of California San Diego · USSan Diego State University · USVirginia Commonwealth University · USBoston University · USUniversity of California, Riverside · US

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
Urban Air Pollution and Pathological Brain Aging: A Nationwide Twin Study in MenP01AG055367 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MACK, WILLIAM J · 2018 to 2022
$11.5M
The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7M
Linking genetic subtypes of Alzheimer's disease to biological and cognitive heterogeneityK01AG063805 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A · 2021 to 2024
$516k
Testosterone-Androgen Receptor Genetics: Role in Cognitive and Biological AgingK08AG047903 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PANIZZON, MATTHEW S · 2014 to 2017
$452k
NIA NIH HHS K01 AG063805NIA NIH HHS K08 AG047903NIA NIH HHS P01 AG055367NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG076838
6 · The paper itself

Abstract

Some evidence suggests a biphasic pattern of changes in cortical thickness wherein higher, rather than lower, thickness is associated with very early Alzheimer's disease (AD) pathology. We examined whether integrating information from AD brain signatures based on mean diffusivity (MD) can aid in the interpretation of cortical thickness/volume as a risk factor for future AD-related changes. Participants were 572 men in the Vietnam Era Twin Study of Aging who were cognitively unimpaired at baseline (mean age = 56 years; range = 51-60). Individuals with both high thickness/volume signatures and high MD signatures at baseline had lower cortical thickness/volume in AD signature regions and lower episodic memory performance 12 years later compared to those with high thickness/volume and low MD signatures at baseline. Groups did not differ in level of young adult cognitive reserve. Our findings are in line with a biphasic model in which increased cortical thickness may precede future decline and establish the value of examining cortical MD alongside cortical thickness to identify subgroups with differential risk for poorer brain and cognitive outcomes.

Indexed as

Alzheimer DiseaseAgingBrainHumansMagnetic Resonance ImagingMaleProtective FactorsRisk FactorsAlzheimer’s diseaseCortical thicknessMean diffusivityNeuroimagingSignatures

Identifiers

PMID37343448
PMCPMC10676195
OpenAlexW4375947976

What OpenQuestion holds

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Read underepoch 390

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.