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

Mohamad Habes; Raymond Pomponio; Haochang Shou; Jimit Doshi; Elizabeth Mamourian; Guray Erus; Ilya Nasrallah; Lenore J Launer; Tanweer Rashid; Murat Bilgel; Yong Fan; Jon B Toledo; Kristine Yaffe; Aristeidis Sotiras; Dhivya Srinivasan; Mark Espeland; Colin Masters; Paul Maruff; Jurgen Fripp; Henry Volzk; Sterling C Johnson; John C Morris; Marilyn S Albert; Michael Miller; R Nick Bryan; Hans J Grabe; Susan M Resnick; David A Wolk; Christos Davatzikos

Journal article

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

Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Guray Erus, Ilya Nasrallah, Lenore J Launer, Tanweer Rashid, Murat Bilgel, Yong Fan, Jon B Toledo, Kristine Yaffe, Aristeidis Sotiras, Dhivya Srinivasan, Mark Espeland, Colin Masters, Paul Maruff, Jurgen Fripp, Henry Volzk Show all

Alzheimer's & Dementia | WILEY | Published : 2021

DOI: 10.1002/alz.12178

Abstract

INTRODUCTION: Relationships 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). METHODS: Three 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. RESULTS: WMHs were associated with advanced brain aging, AD-like atrophy, poorer cognition, and AD neuropathology in mild cognitive impairment (MCI)/AD and cogniti..

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