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Dissecting unique a...
Dissecting unique and common variance across body and brain health indicators using age prediction
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- Beck, Dani (author)
- Oslo Univ Hosp, Norway; Univ Oslo, Norway; Diakonhjemmet Hosp, Norway
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- de Lange, Ann-Marie G. (author)
- Univ Oslo, Norway; CHU Vaudois, Switzerland; Univ Lausanne, Switzerland; Univ Oxford, England
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- Gurholt, Tiril P. (author)
- Oslo Univ Hosp, Norway; Univ Oslo, Norway
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- Voldsbekk, Irene (author)
- Oslo Univ Hosp, Norway; Univ Oslo, Norway
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- Maximov, Ivan I. (author)
- Oslo Univ Hosp, Norway; Univ Oslo, Norway; Western Norway Univ Appl Sci, Norway
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- Subramaniapillai, Sivaniya (author)
- Univ Oslo, Norway; CHU Vaudois, Switzerland; Univ Lausanne, Switzerland
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- Schindler, Louise (author)
- Univ Oslo, Norway; CHU Vaudois, Switzerland
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- Hindley, Guy (author)
- Oslo Univ Hosp, Norway; Univ Oslo, Norway
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- Leonardsen, Esten H. (author)
- Oslo Univ Hosp, Norway; Univ Oslo, Norway
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- Rahman, Zillur (author)
- Oslo Univ Hosp, Norway; Univ Oslo, Norway
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- van Der Meer, Dennis (author)
- Oslo Univ Hosp, Norway; Univ Oslo, Norway; Maastricht Univ, Netherlands
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- Korbmacher, Max (author)
- Oslo Univ Hosp, Norway; Western Norway Univ Appl Sci, Norway
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- Linge, Jennifer (author)
- Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Univ Oslo, Norway; AMRA Med AB, Linkoping, Sweden
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- Dahlqvist Leinhard, Olof (author)
- Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,AMRA Med AB, Linkoping, Sweden
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- Kalleberg, Karl T. (author)
- Age Labs, Norway
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- Engvig, Andreas (author)
- Oslo Univ Hosp, Norway
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- Sonderby, Ida (author)
- Oslo Univ Hosp, Norway; Univ Oslo, Norway
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- Andreassen, Ole A. (author)
- Oslo Univ Hosp, Norway; Univ Oslo, Norway
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- Westlye, Lars T. (author)
- Oslo Univ Hosp, Norway; Univ Oslo, Norway
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(creator_code:org_t)
- WILEY, 2024
- 2024
- English.
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In: Human Brain Mapping. - : WILEY. - 1065-9471 .- 1097-0193. ; 45:6
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
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- Ageing is a heterogeneous multisystem process involving different rates of decline in physiological integrity across biological systems. The current study dissects the unique and common variance across body and brain health indicators and parses inter-individual heterogeneity in the multisystem ageing process. Using machine-learning regression models on the UK Biobank data set (N = 32,593, age range 44.6-82.3, mean age 64.1 years), we first estimated tissue-specific brain age for white and gray matter based on diffusion and T1-weighted magnetic resonance imaging (MRI) data, respectively. Next, bodily health traits, including cardiometabolic, anthropometric, and body composition measures of adipose and muscle tissue from bioimpedance and body MRI, were combined to predict 'body age'. The results showed that the body age model demonstrated comparable age prediction accuracy to models trained solely on brain MRI data. The correlation between body age and brain age predictions was 0.62 for the T1 and 0.64 for the diffusion-based model, indicating a degree of unique variance in brain and bodily ageing processes. Bayesian multilevel modelling carried out to quantify the associations between health traits and predicted age discrepancies showed that higher systolic blood pressure and higher muscle-fat infiltration were related to older-appearing body age compared to brain age. Conversely, higher hand-grip strength and muscle volume were related to a younger-appearing body age. Our findings corroborate the common notion of a close connection between somatic and brain health. However, they also suggest that health traits may differentially influence age predictions beyond what is captured by the brain imaging data, potentially contributing to heterogeneous ageing rates across biological systems and individuals. A 'body age' model trained on health traits demonstrated comparable age prediction accuracy to models trained solely on brain MRI data. Health traits may differentially influence age predictions beyond what is captured by the brain imaging data, revealing a degree of unique variance in brain and bodily ageing processes. image
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Keyword
- ageing; body composition; brain age; cardiometabolic; health
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Beck, Dani
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de Lange, Ann-Ma ...
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Gurholt, Tiril P ...
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Voldsbekk, Irene
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Maximov, Ivan I.
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Subramaniapillai ...
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show more...
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Schindler, Louis ...
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Hindley, Guy
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Leonardsen, Este ...
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Rahman, Zillur
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van Der Meer, De ...
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Korbmacher, Max
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Linge, Jennifer
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Dahlqvist Leinha ...
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Kalleberg, Karl ...
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Engvig, Andreas
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Sonderby, Ida
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Andreassen, Ole ...
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Westlye, Lars T.
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- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Health Sciences
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and Public Health Gl ...
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Human Brain Mapp ...
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Linköping University