Detecting cognitive decline in high-functioning older adults: The relationship between subjective cognitive concerns, frequency of high neuropsychological test scores, and the frontoparietal control network

Justin E. Karr, Jonathan G. Hakun, Daniel B. Elbich, Cristina N. Pinheiro, Frederick A. Schmitt, Suzanne C. Segerstrom

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Objective: Neuropsychologists have difficulty detecting cognitive decline in high-functioning older adults because greater neurological change must occur before cognitive performances are low enough to indicate decline or impairment. For high-functioning older adults, early neurological changes may correspond with subjective cognitive concerns and an absence of high scores. This study compared high-functioning older adults with and without subjective cognitive concerns, hypothesizing those with cognitive concerns would have fewer high scores on neuropsychological testing and lower frontoparietal network volume, thickness, and connectivity. Method: Participants had high estimated premorbid functioning (e.g., estimated intelligence ≥75th percentile or college-educated) and were divided based on subjective cognitive concerns. Participants with cognitive concerns (n = 35; 74.0 ± 9.6 years old, 62.9% female, 94.3% White) and without cognitive concerns (n = 33; 71.2 ± 7.1 years old, 75.8% female, 100% White) completed a neuropsychological battery of memory and executive function tests and underwent structural and resting-state magnetic resonance imaging, calculating frontoparietal network volume, thickness, and connectivity. Results: Participants with and without cognitive concerns had comparable numbers of low test scores (≤16th percentile), p = .103, d = .40. Participants with cognitive concerns had fewer high scores (≥75th percentile), p = .004, d = .71, and lower mean frontoparietal network volumes (left: p = .004, d = .74; right: p = .011, d = .66) and cortical thickness (left: p = .010, d = .66; right: p = .033, d = .54), but did not differ in network connectivity. Conclusions: Among high-functioning older adults, subjective cognitive decline may correspond with an absence of high scores on neuropsychological testing and underlying changes in the frontoparietal network that would not be detected by a traditional focus on low cognitive test scores.

Original languageEnglish
Pages (from-to)220-231
Number of pages12
JournalJournal of the International Neuropsychological Society
Volume30
Issue number3
DOIs
StatePublished - Mar 26 2024

Bibliographical note

Publisher Copyright:
Copyright © INS. Published by Cambridge University Press 2023.

Funding

This research was funded by the National Institute on Aging (NIA) of the National Institutes of Health (NIH) (#R01-AG026307). This work was also supported, in part, by a Building Interdisciplinary Research Careers in Women’s Health (BIRCWH) grant (#K12-DA035150) from the National Institute on Drug Abuse (NIDA) of the NIH and the University of Kentucky Alzheimer’s Disease Research Center funded by the National Institute on Aging (#P30AG072946). The authors have no competing interests or conflicts of interest to report.

FundersFunder number
Building Interdisciplinary Research Careers in Women’s Health12-DA035150
University of Kentucky Alzheimer’s Disease Research Center30AG072946
National Institutes of Health (NIH)01-AG026307
National Institutes of Health (NIH)
Author National Institute on Drug Abuse DA031791 Mark J Ferris National Institute on Drug Abuse DA006634 Mark J Ferris National Institute on Alcohol Abuse and Alcoholism AA026117 Mark J Ferris National Institute on Alcohol Abuse and Alcoholism AA028162 Elizabeth G Pitts National Institute of General Medical Sciences GM102773 Elizabeth G Pitts Peter McManus Charitable Trust Mark J Ferris National Institute on Drug Abuse
National Institute on Aging

    Keywords

    • Aged
    • Cognitive aging
    • Cognitive dysfunction
    • Intelligence
    • Neuroimaging
    • Neuropsychological tests

    ASJC Scopus subject areas

    • General Neuroscience
    • Clinical Psychology
    • Clinical Neurology
    • Psychiatry and Mental health

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