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Brain-predicted age in Down Syndrome is associated with β-amyloid deposition and cognitive decline

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Title: Brain-predicted age in Down Syndrome is associated with β-amyloid deposition and cognitive decline
Authors: Cole, JH
Annus, T
Wilson, LR
Remtulla, R
Hong, YT
Fryer, TD
Acosta-Cabronero, J
Cardenas-Blanco, A
Smith, R
Menon, DK
Zaman, SH
Nestor, PJ
Holland, AJ
Item Type: Journal Article
Abstract: Individuals with Down Syndrome (DS) are more likely to experience earlier onset of multiple facets of physiological ageing. This includes brain atrophy, β-amyloid deposition, cognitive decline and Alzheimer’s Disease; factors indicative of brain ageing. 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-predicted age to generate a brain-predicted age difference (brain-PAD) score. DS participants also underwent [11C]-PiB positron emission tomography (PET) scans to index levels of cerebral β-amyloid deposition, and cognitive assessment. Mean brain-PAD in DS participants’ was +2.49 years, significantly greater than controls (p<0.001). The variability in brain-PAD was associated with the presence and the magnitude of PIB-binding and levels of cognitive performance. Our study indicates that DS is associated with premature structural brain ageing, and that age-related alterations in brain structure are associated with individual differences in the rate of β-amyloid deposition and cognitive impairment.
Issue Date: 18-Apr-2017
Date of Acceptance: 9-Apr-2017
URI: http://hdl.handle.net/10044/1/47993
DOI: htttps://dx.doi.org/10.1016/j.neurobiolaging.2017.04.006
ISSN: 1558-1497
Publisher: Elsevier
Start Page: 41
End Page: 49
Journal / Book Title: Neurobiology of Aging
Volume: 56
Copyright Statement: © 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Keywords: Amyloid PET
Brain aging
Cognitive decline
Down syndrome
Machine learning
Neurology & Neurosurgery
1103 Clinical Sciences
1109 Neurosciences
Publication Status: Published
Appears in Collections:Department of Medicine (up to 2019)
Department of Medicine (up to 2019)