| Autor: |
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 |
| Rok vydání: |
2017 |
| Předmět: |
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| Popis: |
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 |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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