We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Influence of cerebrovascular disease on brain networks in prodromal and clinical Alzheimer's disease.
- Authors
Chong, Joanna Su Xian; Siwei Liu; Loke, Yng Miin; Hila, Saima; Ikram, Mohammad Kamran; Xin Xu; Tan, Boon Yeow; Venketasubramanian, Narayanaswamy; Chen, Christopher Li-Hsian; Juan Zhou; Liu, Siwei; Hilal, Saima; Xu, Xin; Zhou, Juan
- Abstract
Network-sensitive neuroimaging methods have been used to characterize large-scale brain network degeneration in Alzheimer's disease and its prodrome. However, few studies have investigated the combined effect of Alzheimer's disease and cerebrovascular disease on brain network degeneration. Our study sought to examine the intrinsic functional connectivity and structural covariance network changes in 235 prodromal and clinical Alzheimer's disease patients with and without cerebrovascular disease. We focused particularly on two higher-order cognitive networks-the default mode network and the executive control network. We found divergent functional connectivity and structural covariance patterns in Alzheimer's disease patients with and without cerebrovascular disease. Alzheimer's disease patients without cerebrovascular disease, but not Alzheimer's disease patients with cerebrovascular disease, showed reductions in posterior default mode network functional connectivity. By comparison, while both groups exhibited parietal reductions in executive control network functional connectivity, only Alzheimer's disease patients with cerebrovascular disease showed increases in frontal executive control network connectivity. Importantly, these distinct executive control network changes were recapitulated in prodromal Alzheimer's disease patients with and without cerebrovascular disease. Across Alzheimer's disease patients with and without cerebrovascular disease, higher default mode network functional connectivity z-scores correlated with greater hippocampal volumes while higher executive control network functional connectivity z-scores correlated with greater white matter changes. In parallel, only Alzheimer's disease patients without cerebrovascular disease showed increased default mode network structural covariance, while only Alzheimer's disease patients with cerebrovascular disease showed increased executive control network structural covariance compared to controls. Our findings demonstrate the differential neural network structural and functional changes in Alzheimer's disease with and without cerebrovascular disease, suggesting that the underlying pathology of Alzheimer's disease patients with cerebrovascular disease might differ from those without cerebrovascular disease and reflect a combination of more severe cerebrovascular disease and less severe Alzheimer's disease network degeneration phenotype.
- Subjects
ALZHEIMER'S disease; BRAIN imaging; CEREBROVASCULAR disease; BRAIN degeneration; BIOLOGICAL neural networks; ANTHROPOMETRY; BRAIN; HIPPOCAMPUS (Brain); MAGNETIC resonance imaging; NEUROLOGIC examination; CASE-control method; NEURAL pathways; EXECUTIVE function
- Publication
Brain: A Journal of Neurology, 2017, Vol 140, Issue 11, p3012
- ISSN
0006-8950
- Publication type
journal article
- DOI
10.1093/brain/awx224