Brain-predicted age in Down syndrome is associated with beta amyloid deposition and cognitive decline-Reference-Cited by-同舟云学术

Brain-predicted age in Down syndrome is associated with beta amyloid deposition and cognitive decline

Published:2017-08 Issue: Volume:56 Page:41-49
ISSN:0197-4580
Container-title:Neurobiology of Aging
language:en
Short-container-title:Neurobiology of Aging

Author:

Cole James H.^ORCID,Annus Tiina,Wilson Liam R.,Remtulla Ridhaa,Hong Young T.,Fryer Tim D.,Acosta-Cabronero Julio^ORCID,Cardenas-Blanco Arturo,Smith Robert,Menon David K.^ORCID,Zaman Shahid H.,Nestor Peter J.,Holland Anthony J.

Publisher

Elsevier BV

Subject

Geriatrics and Gerontology,Developmental Biology,Clinical Neurology,Ageing,General Neuroscience

Reference64 articles.

1. The Down syndrome brain in the presence and absence of fibrillar β-amyloidosis;Annus;Neurobiol. Aging,2017

2. The pattern of amyloid accumulation in the brains of adults with Down syndrome;Annus;Alzheimer's Demen.,2016

3. A fast diffeomorphic image registration algorithm;Ashburner;Neuroimage,2007

4. A reproducible evaluation of ANTs similarity metric performance in brain image registration;Avants;Neuroimage,2011

5. The modified CAMDEX informant interview is a valid and reliable tool for use in the diagnosis of dementia in adults with Down's syndrome;Ball;J. Intellect. Disabil. Res.,2004

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