Cited by 43Elder Abuse and NeglectDementia and Cognitive Impairment ResearchNeural and Behavioral Psychology Studies

Grey matter correlates of susceptibility to scams in community-dwelling older adults

Open access
Duke Han, S., Boyle, Patricia A., Yu, Lei, Arfanakis, Konstantinos, James, Bryan D., Fleischman, Debra A., Bennett, David A.·2016·Brain Imaging and Behavior

Abstract

Susceptibility to scams is a significant issue among older adults, even among those with intact cognition. Age-related changes in brain macrostructure may be associated with susceptibility to scams; however, this has yet to be explored. Based on previous work implicating frontal and temporal lobe functioning as important in decision making, we tested the hypothesis that susceptibility to scams is associated with smaller grey matter volume in frontal and temporal lobe regions in a large community-dwelling cohort of non-demented older adults. Participants (N = 327, mean age = 81.55, mean education = 15.30, 78.9 % female) completed a self-report measure used to assess susceptibility to scams and an MRI brain scan. Results indicated an inverse association between overall grey matter and susceptibility to scams in models adjusted for age, education, and sex; and in models further adjusted for cognitive function. No significant associations were observed for white matter, cerebrospinal fluid, or total brain volume. Models adjusted for age, education, and sex revealed seven clusters showing smaller grey matter in the right parahippocampal/hippocampal/fusiform, left middle temporal, left orbitofrontal, right ventromedial prefrontal, right middle temporal, right precuneus, and right dorsolateral prefrontal regions. In models further adjusted for cognitive function, results revealed three significant clusters showing smaller grey matter in the right parahippocampal/hippocampal/fusiform, right hippocampal, and right middle temporal regions. Lower grey matter concentration in specific brain regions may be associated with susceptibility to scams, even after adjusting for cognitive ability. Future research is needed to determine whether grey matter reductions in these regions may be a biomarker for susceptibility to scams in old age.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s11682-015-9422-4

Cites

44 of 44 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 45 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Duke Han, S., Boyle, P. A., Yu, L., Arfanakis, K., James, B. D., Fleischman, D. A., & Bennett, D. A.
Affiliations
Rush University Medical Center (US)
Venue
Brain Imaging and Behavior
Published
2015-06-23
Volume
10
Issue
2
Pages
524-532
ISSN
  • 1931-7557 (ISSN-L)
  • 1931-7565
OpenAlex
W755051105
Cited by
42
References
45
Citations by year
2026: 9 · 2025: 4 · 2024: 6 · 2023: 3 · 2022: 7 · 2021: 3 · 2020: 3 · 2019: 3 · 2018: 2 · 2016: 2
FWCI
3.06
Type
journal article
Language
en
Open access
Locations
  • Brain Imaging and Behavior (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute on Aging (R01AG017917, K23AG040625, R01AG033678)
Topics
  • Social Sciences › Demography › Elder Abuse and Neglect
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
Keywords
older adults, gray matter volume, frontal lobe, temporal lobe, prefrontal cortex, hippocampus, parahippocampal gyrus, middle temporal gyrus, decision-making, cognitive function, fraud susceptibility, biomarkers
MeSH terms
Age Factors, Aged, Aged, 80 and over, Aging, Brain, Cognition, Cognition Disorders, Decision Making, Female, Frontal Lobe, Humans, Male, Neuropsychological Tests, Temporal Lobe, Cohort Studies, Vulnerable Populations, Self Report, White Matter, Gray Matter

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review