Ontology highlight
ABSTRACT:
SUBMITTER: Cole JH
PROVIDER: S-EPMC5476346 | biostudies-literature | 2017 Aug
REPOSITORIES: biostudies-literature
Cole James H JH Annus Tiina T Wilson Liam R LR Remtulla Ridhaa R Hong Young T YT Fryer Tim D TD Acosta-Cabronero Julio J Cardenas-Blanco Arturo A Smith Robert R Menon David K DK Zaman Shahid H SH Nestor Peter J PJ Holland Anthony J AJ
Neurobiology of aging 20170418
Individuals with Down syndrome (DS) are more likely to experience earlier onset of multiple facets of physiological aging. This includes brain atrophy, beta amyloid deposition, cognitive decline, and Alzheimer's disease-factors indicative of brain aging. Here, we employed a machine learning approach, using structural neuroimaging data to predict age (i.e., brain-predicted age) in people with DS (N = 46) and typically developing controls (N = 30). Chronological age was then subtracted from brain- ...[more]