The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans
| Autor: | Habes, Mohamad, Pomponio, Raymond, Shou, Haochang, Doshi, Jimit, Mamourian, Elizabeth, Erus, Guray, Nasrallah, Ilya, Launer, Lenore J, Rashid, Tanweer, Bilgel, Murat, Fan, Yong, Toledo, Jon B, Yaffe, Kristine, Sotiras, Aristeidis, Srinivasan, Dhivya, Espeland, Mark, Masters, Colin, Maruff, Paul, Fripp, Jurgen, Völzk, Henry, Johnson, Sterling C, Morris, John C, Albert, Marilyn S, Miller, Michael I, Bryan, R Nick, Grabe, Hans J, Resnick, Susan M, Wolk, David A, Davatzikos, Christos, iSTAGING consortium, the Preclinical AD consortium, the ADNI, and the CARDIA studies |
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| Rok vydání: | 2021 |
| Předmět: |
Male
Aging Image Processing preclinical Alzheimer's disease Neuropsychological Tests Neurodegenerative Alzheimer's Disease Machine Learning Computer-Assisted 80 and over 2.1 Biological and endogenous factors iSTAGING consortium tau Aetiology brain signatures beta-amyloid Brain small vessel ischemic disease Middle Aged Magnetic Resonance Imaging White Matter Neurological Disease Progression Biomedical Imaging Female brain aging Mental health MRI Adult Clinical Sciences Neuroimaging the ADNI Young Adult Clinical Research cognitive testing Acquired Cognitive Impairment Humans Cognitive Dysfunction Aged harmonized neuroimaging cohorts Amyloid beta-Peptides Alzheimer's disease pathology Neurosciences Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) Brain Disorders and the CARDIA studies PET Geriatrics Cerebral Small Vessel Diseases Dementia Atrophy the Preclinical AD consortium Biomarkers |
| Zdroj: | Alzheimer's & dementia : the journal of the Alzheimer's Association, vol 17, iss 1 |
| Popis: | IntroductionRelationships between brain atrophy patterns of typical aging and Alzheimer's disease (AD), white matter disease, cognition, and AD neuropathology were investigated via machine learning in a large harmonized magnetic resonance imaging database (11 studies; 10,216 subjects).MethodsThree brain signatures were calculated: Brain-age, AD-like neurodegeneration, and white matter hyperintensities (WMHs). Brain Charts measured and displayed the relationships of these signatures to cognition and molecular biomarkers of AD.ResultsWMHs were associated with advanced brain aging, AD-like atrophy, poorer cognition, and AD neuropathology in mild cognitive impairment (MCI)/AD and cognitively normal (CN) subjects. High WMH volume was associated with brain aging and cognitive decline occurring in an ≈10-year period in CN subjects. WMHs were associated with doubling the likelihood of amyloid beta (Aβ) positivity after age 65. Brain aging, AD-like atrophy, and WMHs were better predictors of cognition than chronological age in MCI/AD.DiscussionA Brain Chart quantifying brain-aging trajectories was established, enabling the systematic evaluation of individuals' brain-aging patterns relative to this large consortium. |
| Databáze: | OpenAIRE |
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