Brain white matter hyperintensities-predicted age reflects neurovascular health in middle-to-old aged subjects.
Background age-related neurovascular structural and functional impairment is a major aetiology of dementia and stroke in older people. There is no single marker representative of neurovascular biological age yet. Objective this study aims to develop and validate a white matter hyperintensities (WMH)...
| Published in: | Age & Ageing Vol. 51; no. 5; pp. 1 - 11 |
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| Main Authors: | , , , , , , , |
| Format: | Article |
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Oxford University Press / USA
May2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=157263569&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 157263569 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00020729 AGA jtl: Age & Ageing issn: 00020729 maglogo: N pubinfo: dt: May2022 vid: 51 iid: 5 pid: 622 pub: Oxford University Press / USA artinfo: ui: 157263569 10.1093/ageing/afac106 ppf: 1 ppct: 10 formats: tig: atl: Brain white matter hyperintensities-predicted age reflects neurovascular health in middle-to-old aged subjects. aug: au: Huang, Chu-Chung Chou, Kun-Hsien Lee, Wei-Ju Yang, Albert C Tsai, Shih-Jen Chen, Liang-Kung Chung, Chih-Ping Lin, Ching-Po affil: Shanghai Key Laboratory of Brain Functional Genomics (Ministry of Education) , Affiliated Mental Health Center (ECNU), School of Psychology and Cognitive Science, East China Normal University , Shanghai, China Shanghai Changning Mental Health Center , Shanghai, China Institute of Neuroscience, National Yang Ming Chiao Tung University , Taipei, Taiwan Brain Research Center, National Yang Ming Chiao Tung University , Taipei, Taiwan Center for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University , Taipei, Taiwan Department of Family Medicine, Yuanshan Branch, Taipei Veterans General Hospital , Yi-Lan, Taiwan Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center/Harvard Medical School , Boston, MA, USA Institute of Brain Science, National Yang-Ming Chiao Tung University , Taipei, Taiwan Department of Psychiatry, Taipei Veterans General Hospital , Taipei, Taiwan Division of Psychiatry, School of Medicine, National Yang-Ming Chiao Tung University , Taipei, Taiwan Center for Geriatrics and Gerontology, Taipei Veterans General Hospital , Taipei, Taiwan Taipei Municipal Gan-Dau Hospital (Managed by Taipei Veterans General Hospital) , Taipei, Taiwan Department of Neurology, Neurological Institute, Taipei Veterans General Hospital , Taipei, Taiwan School of Medicine, National Yang Ming Chiao Tung University , Taipei, Taiwan su: Executive function Aging Disease risk factors Middle age Old age Brain Cardiovascular diseases risk factors Neurological disorders Research evaluation Magnetic resonance imaging Regression analysis White matter (Nerve tissue) Risk assessment Descriptive statistics Prediction models Sensitivity & specificity (Statistics) Evaluation sug: subj: Executive function Aging Disease risk factors Middle age Old age Diagnostic Imaging Centers Brain Cardiovascular diseases risk factors Neurological disorders Research evaluation Magnetic resonance imaging Regression analysis White matter (Nerve tissue) Risk assessment Descriptive statistics Prediction models Sensitivity & specificity (Statistics) Evaluation keyword: ageing･white matter hyperintensities brain age cardiovascular risks neurovascular ageing older people ageing･white matter hyperintensities brain age cardiovascular risks neurovascular ageing older people ab: Background age-related neurovascular structural and functional impairment is a major aetiology of dementia and stroke in older people. There is no single marker representative of neurovascular biological age yet. Objective this study aims to develop and validate a white matter hyperintensities (WMH)-based model for characterising individuals' neurovascular biological age. Methods in this prospective single-site study, the WMH-based age-prediction model was constructed based on WMH volumes of 491 healthy participants (21–89 years). In the training dataset, the constructed linear-regression model with log-transformed WMH volumes showed well-balanced complexity and accuracy (root mean squared error, RMSE = 10.20 and mean absolute error, MAE = 7.76 years). This model of neurovascular age estimation was then applied to a middle-to-old aged testing dataset (n = 726, 50–92 years) as the testing dataset for external validation. Results the established age estimator also had comparable generalizability with the testing dataset (RMSE = 7.76 and MAE = 6.38 years). In the testing dataset, the WMH-predicted age difference was negatively associated with visual executive function. Individuals with older predicted-age for their chronological age had greater cardiovascular burden and cardiovascular disease risks than individuals with normal or delayed predicted age. These associations were independent of chronological age. Conclusions our model is easy to use in clinical practice that helps to evaluate WMH severity objective to chronological age. Current findings support our WMH-based age measurement to reflect neurovascular health and have potential diagnostic and prognostic value for clinical or research purposes in age-related neurovascular disorders. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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