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

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.

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Publication Details

Journal
Nature Aging
Published
2025-07-01
DOI
https://doi.org/10.1038/s43587-025-00897-z
Citations
15
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
22.07

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article

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

Sean Hogan, Tracy R. Melzer, Sandhya Ramrakha, Maxwell L. Elliott et al.
15 citations
Nature Aging
Dementia and Cognitive Impairment Research
22.07
article

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

Sean Hogan, Tracy R. Melzer, Sandhya Ramrakha, Maxwell L. Elliott, Avshalom Caspi, Ethan T. Whitman, Benjamin Williams, Tim Anderson, David Ireland, Reremoana F. Theodore, Ahmad R. Hariri, Annchen R. Knodt, Wickliffe C. Abraham, Terrie E. Moffitt, Karen Sugden, Nicholas J. Cutfield
article en
15 citations

Abstract

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.

Nature AgingVol. 5(8)
Harvard University (US), Duke University (US), King's College London (GB), University of Oslo (NO), University of Canterbury (NZ), Christchurch Hospital (NZ), Pacific Radiology (New Zealand) (NZ), New Zealand Brain Research Institute (NZ), Duke University Hospital (US), University of Otago (NZ)
Alzheimer's Association, Bristol-Myers Squibb, Eli Lilly and Company, Pfizer, Biogen, F. Hoffmann-La Roche, Meso Scale Diagnostics, BioClinica, Novartis Pharmaceuticals Corporation, Northern California Institute for Research and Education, Eisai, Servier, H. Lundbeck A/S, IXICO, National Institutes of Health, Genentech, Canadian Institutes of Health Research, Medical Research Council, National Institute on Aging
Good health and well-being
Openalex Percentile: Top 0%
Dementia and Cognitive Impairment Research
22.07
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