Cognitive Profiling Related to Cerebral Amyloid Beta Burden Using Machine Learning Approaches

Background: Cerebral amyloid beta (Aβ) is a hallmark of Alzheimer’s disease (AD). Aβ can be detected in vivo with amyloid imaging or cerebrospinal fluid assessments. However, these technologies can be both expensive and invasive, and their accessibility is limited in many clinical settings. Hence th...

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Bibliographic Details
Main Authors: Hyunwoong Ko, Jung-Joon Ihm, Hong-Gee Kim, for the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-04-01
Series:Frontiers in Aging Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2019.00095/full