Structural network alterations and neurological dysfunction in cerebral amyloid angiopathy
Top Cited Papers
Open Access
- 31 October 2014
- journal article
- Published by Oxford University Press (OUP) in Brain
- Vol. 138 (1), 179-188
- https://doi.org/10.1093/brain/awu316
Abstract
Cerebral amyloid angiopathy is a common form of small-vessel disease and an important risk factor for cognitive impairment. The mechanisms linking small-vessel disease to cognitive impairment are not well understood. We hypothesized that in patients with cerebral amyloid angiopathy, multiple small spatially distributed lesions affect cognition through disruption of brain connectivity. We therefore compared the structural brain network in patients with cerebral amyloid angiopathy to healthy control subjects and examined the relationship between markers of cerebral amyloid angiopathy-related brain injury, network efficiency, and potential clinical consequences. Structural brain networks were reconstructed from diffusion-weighted magnetic resonance imaging in 38 non-demented patients with probable cerebral amyloid angiopathy (69 ± 10 years) and 29 similar aged control participants. The efficiency of the brain network was characterized using graph theory and brain amyloid deposition was quantified by Pittsburgh compound B retention on positron emission tomography imaging. Global efficiency of the brain network was reduced in patients compared to controls (0.187 ± 0.018 and 0.201 ± 0.015, respectively, P < 0.001). Network disturbances were most pronounced in the occipital, parietal, and posterior temporal lobes. Among patients, lower global network efficiency was related to higher cortical amyloid load (r = −0.52; P = 0.004), and to magnetic resonance imaging markers of small-vessel disease including increased white matter hyperintensity volume (P < 0.001), lower total brain volume (P = 0.02), and number of microbleeds (trend P = 0.06). Lower global network efficiency was also related to worse performance on tests of processing speed (r = 0.58, P < 0.001), executive functioning (r = 0.54, P = 0.001), gait velocity (r = 0.41, P = 0.02), but not memory. Correlations with cognition were independent of age, sex, education level, and other magnetic resonance imaging markers of small-vessel disease. These findings suggest that reduced structural brain network efficiency might mediate the relationship between advanced cerebral amyloid angiopathy and neurologic dysfunction and that such large-scale brain network measures may represent useful outcome markers for tracking disease progression.Keywords
This publication has 57 references indexed in Scilit:
- Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegenerationThe Lancet Neurology, 2013
- Improved Sensitivity to Cerebral White Matter Abnormalities in Alzheimer’s Disease with Spherical Deconvolution Based TractographyPLOS ONE, 2012
- High-cost, high-capacity backbone for global brain communicationProceedings of the National Academy of Sciences of the United States of America, 2012
- Cerebral microinfarcts: the invisible lesionsThe Lancet Neurology, 2012
- Functional magnetic resonance imaging detection of vascular reactivity in cerebral amyloid angiopathyAnnals of Neurology, 2012
- Distribution of white matter hyperintensity in cerebral hemorrhage and healthy agingZeitschrift für Neurologie, 2011
- Microinfarct Pathology, Dementia, and Cognitive SystemsStroke, 2011
- Modeling the Impact of Lesions in the Human BrainPLoS Computational Biology, 2009
- Detection of isolated cerebrovascular β‐amyloid with pittsburgh compound BAnnals of Neurology, 2008
- Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM templateNeuroImage, 2008