Evidence map›Paper›PMID 38878863›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2024

Early Cortical Microstructural Changes in Aging Are Linked to Vulnerability to Alzheimer's Disease Pathology.

Rongxiang Tang, Carol E Franz, Richard L Hauger, Anders M Dale, Stephen M Dorros, Lisa T Eyler, Christine Fennema-Notestine, Donald J Hagler, Michael J Lyons, Matthew S Panizzon and 4 more

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2024. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

14 authors.

Rongxiang TangDepartment of Psychiatry, University of California San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California. Electronic address: rongxiang.tang@tamu.edu.
Carol E FranzDepartment of Psychiatry, University of California San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California.
Richard L HaugerDepartment of Psychiatry, University of California San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California; Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, San Diego, California.
Anders M DaleDepartment of Radiology, University of California San Diego, La Jolla, California; Department of Neurosciences, University of California San Diego, La Jolla, California.
Stephen M DorrosDepartment of Radiology, University of California San Diego, La Jolla, California.
Lisa T EylerDepartment of Psychiatry, University of California San Diego, La Jolla, California; Desert Pacific Mental Illness Research Education and Clinical Center, Veterans Affairs San Diego Healthcare System, San Diego, California.
Christine Fennema-NotestineDepartment of Psychiatry, University of California San Diego, La Jolla, California; Department of Radiology, University of California San Diego, La Jolla, California.
Donald J HaglerDepartment of Radiology, University of California San Diego, La Jolla, California.
Michael J LyonsDepartment of Psychological and Brain Sciences, Boston University, Boston, Massachusetts.
Matthew S PanizzonDepartment of Psychiatry, University of California San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California.
Olivia K PuckettDepartment of Psychiatry, University of California San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California.
McKenna E WilliamsDepartment of Psychiatry, University of California San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California; Joint Doctoral Program in Clinical Psychology, San Diego State University/University of California San Diego, San Diego, California.
Jeremy A ElmanDepartment of Psychiatry, University of California San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California.
William S KremenDepartment of Psychiatry, University of California San Diego, La Jolla, California; Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California.

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 CHEN, JIU-CHIUAN · 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
Genetic Predictors, Transcriptomic Biomarkers, & Neurobiological Signatures of Resilience to Alzheimer's DiseaseR01AG064955 · NIA · UPSTATE MEDICAL UNIVERSITY · PI FENNEMA-NOTESTINE, CHRISTINE, GLATT, STEPHEN J · 2019 to 2023
$3.8M
Gene-Environment Interplay of Social Contexts and Aging-Related OutcomesR01AG037985 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 2010 to 2014
$3.2M
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
NIA NIH HHS K01 AG063805NIA NIH HHS P01 AG055367NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG037985NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG064955NIA NIH HHS R01 AG076838
6 · The paper itself

Abstract

backgroundEarly identification of Alzheimer's disease (AD) risk is critical for improving treatment success. Cortical thickness is a macrostructural measure used to assess neurodegeneration in AD. However, cortical microstructural changes appear to precede macrostructural atrophy and may improve early risk identification. Currently, whether cortical microstructural changes in aging are linked to vulnerability to AD pathophysiology remains unclear in nonclinical populations, who are precisely the target for early risk identification.

methodsIn 194 adults, we calculated magnetic resonance imaging-derived maps of changes in cortical mean diffusivity (microstructure) and cortical thickness (macrostructure) over 5 to 6 years (mean age: time 1 = 61.82 years; time 2 = 67.48 years). Episodic memory was assessed using 3 well-established tests. We obtained positron emission tomography-derived maps of AD pathology deposition (amyloid-β, tau) and neurotransmitter receptors (cholinergic, glutamatergic) implicated in AD pathophysiology. Spatial correlational analyses were used to compare pattern similarity among maps.

resultsSpatial patterns of cortical macrostructural changes resembled patterns of cortical organization sensitive to age-related processes (r = -0.31, p < .05), whereas microstructural changes resembled the patterns of tau deposition in AD (r = 0.39, p = .038). Individuals with patterns of microstructural changes that more closely resembled stereotypical tau deposition exhibited greater memory decline (β = 0.22, p = .029). Microstructural changes and AD pathology deposition were enriched in areas with greater densities of cholinergic and glutamatergic receptors (ps < .05).

conclusionsPatterns of cortical microstructural changes were more AD-like than patterns of macrostructural changes, which appeared to reflect more general aging processes. Microstructural changes may better inform early risk prediction efforts as a sensitive measure of vulnerability to pathological processes prior to overt atrophy and cognitive decline.

Indexed as

AgingAlzheimer DiseaseCerebral CortexPositron-Emission TomographyAgedFemaleHumansMagnetic Resonance ImagingMaleMemory, EpisodicMiddle AgedAlzheimer’s diseaseAmyloidCortical microstructureNeurodegenerationNeurotransmitterTau

Identifiers

PMID38878863
PMCPMC11756816

What OpenQuestion holds

Textmetadata
LicenceTDM
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.