A Biomarker for Alzheimer's Disease Based on Patterns of Regional Brain Atrophy.

ABSTRACT: Introduction: It has been shown that Alzheimer's disease (AD) is accompanied by marked structural brain changes that can be detected several years before clinical diagnosis via structural magnetic resonance (MR) imaging. In this study, we developed a structural MR-based biomarker for in vivo detection of AD using a supervised machine learning approach. Based on an individual's pattern of brain atrophy a continuous AD score is assigned which measures the similarity with brain atrophy patterns seen in clinical cases of AD. Methods: The underlying statistical model was trained with MR scans of patients and healthy controls from the Alzheimer's Disease Neuroimaging Initiative (ADNI-1 screening). Validation was performed within ADNI-1 and in an independent patient sa

SUBMITTER: Frenzel S 

PROVIDER: S-EPMC6970941 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature