An estimate of the longitudinal pace of aging from a single brain scan predicts dementia conversion, morbidity, and mortality Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1101/2024.08.19.608305
To understand how aging affects functional decline and increases disease risk, it is necessary to develop accurate and reliable measures of how fast a person is aging. Epigenetic clocks measure aging but require DNA methylation data, which many studies lack. Using data from the Dunedin Study, we introduce an accurate and reliable measure for the rate of longitudinal aging derived from cross-sectional brain MRI: the Dunedin Pace of Aging Calculated from NeuroImaging or DunedinPACNI. Exporting this measure to the Alzheimer’s Disease Neuroimaging Initiative and UK Biobank datasets revealed that faster DunedinPACNI predicted participants’ cognitive impairment, accelerated brain atrophy, and conversion to diagnosed dementia. Underscoring close links between longitudinal aging of the body and brain, faster DunedinPACNI also predicted physical frailty, poor health, future chronic diseases, and mortality in older adults. Furthermore, DunedinPACNI followed an established socioeconomic health gradient with people of lower socioeconomic status showing faster DunedinPACNI. Associations between DunedinPACNI and cognitive impairment were replicated in BrainLat, a sample of Latin American patients with dementia. When compared to brain age gap, an existing MRI aging biomarker, DunedinPACNI was similarly or more strongly related to clinical outcomes. DunedinPACNI is a “next generation” MRI measure that will be made publicly available to the research community to help accelerate aging research and evaluate the effectiveness of dementia prevention and anti-aging strategies.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.08.19.608305
- https://www.biorxiv.org/content/biorxiv/early/2024/08/22/2024.08.19.608305.full.pdf
- OA Status
- green
- Cited By
- 1
- References
- 130
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4401750665Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2024.08.19.608305Digital Object Identifier
- Title
-
An estimate of the longitudinal pace of aging from a single brain scan predicts dementia conversion, morbidity, and mortalityWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-08-22Full publication date if available
- Authors
-
Ethan T. Whitman, Maxwell L. Elliott, Annchen R. Knodt, Wickliffe C. Abraham, Tim Anderson, Nick Cutfield, Sean Hogan, David Ireland, Tracy R. Melzer, Sandhya Ramrakha, Karen Sugden, Reremoana Theodore, Benjamin Williams, Avshalom Caspi, Terrie E. Moffitt, Ahmad R. HaririList of authors in order
- Landing page
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https://doi.org/10.1101/2024.08.19.608305Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2024/08/22/2024.08.19.608305.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.biorxiv.org/content/biorxiv/early/2024/08/22/2024.08.19.608305.full.pdfDirect OA link when available
- Concepts
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Dementia, Neuroimaging, Brain aging, Biobank, Alzheimer's Disease Neuroimaging Initiative, Gerontology, Longitudinal study, Successful aging, Aging brain, Medicine, Alzheimer's disease, Atrophy, Biomarker, Healthy aging, Cognitive decline, Psychology, Cognition, Physical medicine and rehabilitation, Disease, Neuroscience, Bioinformatics, Internal medicine, Pathology, Biology, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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130Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.rate | 56 |
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| abstract_inverted_index.older | 129 |
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| abstract_inverted_index.person | 25 |
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| corresponding_author_ids | https://openalex.org/A5027144504 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 16 |
| corresponding_institution_ids | https://openalex.org/I170897317 |
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| citation_normalized_percentile.value | 0.67747731 |
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| citation_normalized_percentile.is_in_top_10_percent | False |