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DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease.

Publication ,  Journal Article
Whitman, ET; Elliott, ML; Knodt, AR; Abraham, WC; Anderson, TJ; Cutfield, NJ; Hogan, S; Ireland, D; Melzer, TR; Ramrakha, S; Sugden, K ...
Published in: Nature aging
August 2025

To understand how aging affects functional decline and increases disease risk, it is necessary to develop measures of how fast a person is aging. Using data from the Dunedin Study, we introduce an accurate and reliable measure for the rate of longitudinal aging derived from cross-sectional brain magnetic resonance imaging, that is, the Dunedin Pace of Aging Calculated from NeuroImaging (DunedinPACNI). Exporting this measure to the Alzheimer's Disease Neuroimaging Initiative, UK Biobank and BrainLat datasets revealed that faster DunedinPACNI predicted cognitive impairment, accelerated brain atrophy and conversion to diagnosed dementia. Faster DunedinPACNI also predicted physical frailty, poor health, future chronic diseases and mortality in older adults. When compared to brain age gap, DunedinPACNI was similarly or more strongly related to clinical outcomes. DunedinPACNI is a next-generation brain magnetic resonance imaging biomarker that can help researchers explore aging effects on health outcomes and evaluate the effectiveness of antiaging strategies.

Duke Scholars

Published In

Nature aging

DOI

EISSN

2662-8465

ISSN

2662-8465

Publication Date

August 2025

Volume

5

Issue

8

Start / End Page

1619 / 1636

Related Subject Headings

  • Neuroimaging
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Longitudinal Studies
  • Humans
  • Female
  • Dementia
  • Cross-Sectional Studies
  • Cognitive Dysfunction
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Whitman, E. T., Elliott, M. L., Knodt, A. R., Abraham, W. C., Anderson, T. J., Cutfield, N. J., … Hariri, A. R. (2025). DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease. Nature Aging, 5(8), 1619–1636. https://doi.org/10.1038/s43587-025-00897-z
Whitman, Ethan T., Maxwell L. Elliott, Annchen R. Knodt, Wickliffe C. Abraham, Tim J. Anderson, Nicholas J. Cutfield, Sean Hogan, et al. “DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease.Nature Aging 5, no. 8 (August 2025): 1619–36. https://doi.org/10.1038/s43587-025-00897-z.
Whitman ET, Elliott ML, Knodt AR, Abraham WC, Anderson TJ, Cutfield NJ, et al. DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease. Nature aging. 2025 Aug;5(8):1619–36.
Whitman, Ethan T., et al. “DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease.Nature Aging, vol. 5, no. 8, Aug. 2025, pp. 1619–36. Epmc, doi:10.1038/s43587-025-00897-z.
Whitman ET, Elliott ML, Knodt AR, Abraham WC, Anderson TJ, Cutfield NJ, Hogan S, Ireland D, Melzer TR, Ramrakha S, Sugden K, Theodore R, Williams BS, Caspi A, Moffitt TE, Hariri AR. DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease. Nature aging. 2025 Aug;5(8):1619–1636.

Published In

Nature aging

DOI

EISSN

2662-8465

ISSN

2662-8465

Publication Date

August 2025

Volume

5

Issue

8

Start / End Page

1619 / 1636

Related Subject Headings

  • Neuroimaging
  • Middle Aged
  • Male
  • Magnetic Resonance Imaging
  • Longitudinal Studies
  • Humans
  • Female
  • Dementia
  • Cross-Sectional Studies
  • Cognitive Dysfunction