학술논문

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
Document Type
article
Source
Alzheimer's & Dementia. 17(1)
Subject
Biological Psychology
Psychology
Biomedical Imaging
Aging
Neurosciences
Alzheimer's Disease
Dementia
Clinical Research
Acquired Cognitive Impairment
Brain Disorders
Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD)
Neurodegenerative
Aetiology
2.1 Biological and endogenous factors
Mental health
Neurological
Adult
Aged
Aged
80 and over
Amyloid beta-Peptides
Atrophy
Biomarkers
Brain
Cerebral Small Vessel Diseases
Cognitive Dysfunction
Disease Progression
Female
Humans
Image Processing
Computer-Assisted
Machine Learning
Magnetic Resonance Imaging
Male
Middle Aged
Neuropsychological Tests
White Matter
Young Adult
Alzheimer's disease pathology
beta-amyloid
brain aging
brain signatures
cognitive testing
harmonized neuroimaging cohorts
MRI
Neuroimaging
PET
preclinical Alzheimer's disease
small vessel ischemic disease
tau
iSTAGING consortium
the Preclinical AD consortium
the ADNI
and the CARDIA studies
Clinical Sciences
Geriatrics
Clinical sciences
Biological psychology
Language
Abstract
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.