Identifying individuals with Alzheimer's disease-like brains based on structural imaging in the Human Connectome Project Aging cohort

Given the difficulty in factoring out typical age effects from subtle Alzheimer's disease (AD) effects on brain structure, identification of very early, as well as younger preclinical “at-risk” individuals has unique challenges. We examined whether age-correction procedures could be used to bet...

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Bibliographic Details
Main Authors:	Almaktoum, R. (Author), Ances, B.M (Author), Bookheimer, S.Y (Author), For the Alzheimer's Disease Neuroimaging Initiative (Author), Jang, I. (Author), Li, B. (Author), Riphagen, J. (Author), Salat, D.H (Author), Yochim, K.M (Author)
Format:	Article
Language:	English
Published:	John Wiley and Sons Inc 2021
Subjects:	adult Adult aged Aged Aged, 80 and over aging Aging Alzheimer disease Alzheimer Disease Alzheimer's disease Article atrophy biological marker brain atrophy classification classifier cognition cohort analysis connectome controlled study deterioration diagnostic imaging disease severity assessment female Female fluorodeoxyglucose f 18 human Humans image analysis image segmentation machine learning Machine Learning Magnetic Resonance Imaging major clinical study male Male middle aged Middle Aged mild cognitive impairment neuroimaging Neuroimaging nuclear magnetic resonance imaging pathology positron emission tomography procedures proof of concept Proof of Concept Study support vector machine very elderly
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Identifying individuals with Alzheimer's disease-like brains based on structural imaging in the Human Connectome Project Aging cohort

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