Evidence map›Paper›PMID 39347939›Full record

ArticleBrain imaging and behavior2024

Associations between structural neuroimaging markers of Alzheimer's risk and scam susceptibility.

Melissa Lamar, Konstantinos Arfanakis, Alifiya Kapasi, S Duke Han, David A Bennett, Lei Yu, Patricia A Boyle

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Melissa LamarRush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA. melissa_lamar@rush.edu.
Konstantinos ArfanakisRush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA.
Alifiya KapasiRush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA.
S Duke HanDepartment of Psychology, University of Southern California, Los Angeles, CA, USA.
David A BennettRush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA.
Lei YuRush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA.
Patricia A BoyleRush Alzheimer's Disease Center, Rush University Medical Center, 1750 W Harrison Street, Suite 1000, Chicago, IL, 60612, USA.

Funding

EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
Characterizing the Behavior Profile of Healthy Cognitive AgingR01AG034374 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI PATRICIA A BOYLE · 2009 to 2026
$8.8M
Epidemiologic Study of Impaired Decision-Making in Preclinical Alzheimer's DiseasR01AG033678 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BOYLE, PATRICIA A · 2009 to 2025
$7.8M
Longitudinal validation of cerebral small vessel disease biomarkers in diverse community-based older adults without dementiaU01NS100599 · NINDS · RUSH UNIVERSITY MEDICAL CENTER · PI ARFANAKIS, KONSTANTINOS, SCHNEIDER, JULIE A. · 2023 to 2025
$3.5M
In-vivo MRI-based prediction of TDP43 pathology in agingR01AG064233 · NIA · ILLINOIS INSTITUTE OF TECHNOLOGY · PI ARFANAKIS, KONSTANTINOS, SCHNEIDER, JULIE A. · 2019 to 2023
$3.3M
Epidemiology of racial differences in decision making among older adultsR01AG060376 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BOYLE, PATRICIA A · 2018 to 2022
$3.2M
Small vessel disease contributions to neurodegeneration in Alzheimer's diseaseK01AG075177 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI Alifiya Kapasi · 2022 to 2026
$553k
NIA NIH HHS K01 AG075177NIA NIH HHS R01 AG017917NIA NIH HHS R01AG017917, R01AG034374, R01AG060376, R01AG033678, R01AG064233, K01AG075177NIA NIH HHS R01 AG033678NIA NIH HHS R01 AG034374NIA NIH HHS R01 AG060376NIA NIH HHS R01 AG064233NINDS NIH HHS U01 NS100599NINDS NIH HHS U01NS100599
6 · The paper itself

Abstract

Older adults with greater scam susceptibility are at greater risk for mild cognitive impairment and incident Alzheimer's dementia, regardless of baseline cognition. This, combined with documented associations between scam susceptibility and beta amyloid at death suggests that scam susceptibility may be an earlier indicator of pathological aging than cognition. Little, however, is known about whether in vivo neuroimaging markers of early-stage risk for Alzheimer's dementia are also related to scam susceptibility; such knowledge will inform upon the associations of neurodegenerative processes with scam susceptibility and may help identify vulnerable individuals. Participants were 472 community-based adults without dementia (age ~ 81y; 75% women) from the Rush Memory and Aging Project. Baseline 3T MRI T1-weighted structural and T2-weighted FLAIR data were used to assess the cortical thickness 'signature' of Alzheimer's disease (AD-CT) and white matter hyperintensity (WMH) burden, respectively. Scam susceptibility was measured using a questionnaire that assessed behaviors associated with vulnerability to fraud and scams. Demographically-adjusted linear effects regression models determined the relationship of each neuroimaging measure, first separately and then combined, with scam susceptibility. Reduced AD-CT was associated with higher levels of scam susceptibility (estimate=-0.10, standard error = 0.03, p = 0.002). WMH burden was not associated with scam susceptibility either alone or when combined in the same model as AD-CT (p-values ≥ 0.14). Results for AD-CT persisted after the inclusion of WMH burden. AD-CT was associated with scam susceptibility in older adults without dementia possibly signaling an in vivo profile of this behavior.

Indexed as

Alzheimer DiseaseBrainMagnetic Resonance ImagingNeuroimagingAgedAged, 80 and overBiomarkersCognitive DysfunctionDisease SusceptibilityFemaleHumansMaleWhite MatterBiomarkersAD signatureAgingAlzheimer’s diseaseCerebrovascular diseaseCortical thicknessScam susceptibilityWhite matter hyperintensity

Identifiers

PMID39347939
PMCPMC11752735

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.