The differential effect of chronological age and brain age on cognitive fatigue: new metrics, new insights

Fatigue is prevalent in the general population, but it is unclear whether aging is associated with increased fatigue. Here, we investigate the relationship between cognitive fatigue (CF, fatigue resulting from mental work) and two types of aging-chronological age and brain age-in 85 participants ranging in age from 20 to 84 years. Whereas chronological age is simply participants' absolute age, brain age is derived from a comparison of participants' brain morphology relative to a normative model. CF was induced using a working memory paradigm that participants repeatedly performed, reporting their instantaneous level of CF at baseline and after each successive block of the task. Chronological age was associated with a decrease in the CF reported at baseline (the intercept of a regression line fit to the CF ratings), whereas brain age was related to the rate at which fatigue was induced (the slope of the regression line fit to the CF ratings). Behaviorally, the decrease in CF as a function of chronological age was mirrored by a more liberal response bias, providing more evidence that response bias represents an objective behavioral index of CF. Additionally, areas of the insula showed a relationship between CF and chronological age, suggesting that the role of the insula may change across the lifespan. These results represent the first well-powered study to investigate the relationship between CF and chronological age as well as brain age and suggests that CF may be an important indicator of brain age across the lifespan.

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Publication Details

Journal
Journal of Neurology
Published
2026-01-01
DOI
https://doi.org/10.1007/s00415-025-13584-1
Primary Topic
Sleep and Work-Related Fatigue
Type
article
Field-Weighted Citation Impact
0.00

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article

The differential effect of chronological age and brain age on cognitive fatigue: new metrics, new insights

H. M. Genova, J. DeLuca, C. A. F. Román, M. J. Falvo et al.
Journal of Neurology
Sleep and Work-Related Fatigue
article

The differential effect of chronological age and brain age on cognitive fatigue: new metrics, new insights

H. M. Genova, J. DeLuca, C. A. F. Román, M. J. Falvo, G. R. Wylie, J. C. Buckey, J. C. Ford, R. M. Roth, N. D. Chiaravalloti, C. E. Niemczak
article en

Abstract

Fatigue is prevalent in the general population, but it is unclear whether aging is associated with increased fatigue. Here, we investigate the relationship between cognitive fatigue (CF, fatigue resulting from mental work) and two types of aging-chronological age and brain age-in 85 participants ranging in age from 20 to 84 years. Whereas chronological age is simply participants' absolute age, brain age is derived from a comparison of participants' brain morphology relative to a normative model. CF was induced using a working memory paradigm that participants repeatedly performed, reporting their instantaneous level of CF at baseline and after each successive block of the task. Chronological age was associated with a decrease in the CF reported at baseline (the intercept of a regression line fit to the CF ratings), whereas brain age was related to the rate at which fatigue was induced (the slope of the regression line fit to the CF ratings). Behaviorally, the decrease in CF as a function of chronological age was mirrored by a more liberal response bias, providing more evidence that response bias represents an objective behavioral index of CF. Additionally, areas of the insula showed a relationship between CF and chronological age, suggesting that the role of the insula may change across the lifespan. These results represent the first well-powered study to investigate the relationship between CF and chronological age as well as brain age and suggests that CF may be an important indicator of brain age across the lifespan.

Journal of NeurologyVol. 273(1)
Rutgers, The State University of New Jersey (US), Dartmouth College (US), University of Southern California (US), Dartmouth–Hitchcock Medical Center (US), Kessler Foundation (US), VA New Jersey Health Care System (US), Dartmouth Psychiatric Research Center (US), Rutgers New Jersey Medical School (US)
U.S. Department of Veterans Affairs, Multiple Sclerosis Society, National Institutes of Health
Openalex Percentile: Top 95%
Sleep and Work-Related Fatigue
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