Effects of Amyloid and Small Vessel Disease on White Matter Network Disruption

Title
Effects of Amyloid and Small Vessel Disease on White Matter Network Disruption
Authors
이종민
Keywords
Amyloid; diffusion tensor imaging; graph theory; small vessel disease; white matter network
Issue Date
2015-01
Publisher
IOS PRESS
Citation
JOURNAL OF ALZHEIMERS DISEASE, v. 44, NO 3, Page. 963-975
Abstract
There is growing evidence that the human brain is a large scale complex network. The structural network is reported to be disrupted in cognitively impaired patients. However, there have been few studies evaluating the effects of amyloid and small vessel disease (SVD) markers, the common causes of cognitive impairment, on structural networks. Thus, we evaluated the association between amyloid and SVD burdens and structural networks using diffusion tensor imaging (DTI). Furthermore, we determined if network parameters predict cognitive impairments. Graph theoretical analysis was applied to DTI data from 232 cognitively impaired patients with varying degrees of amyloid and SVD burdens. All patients underwent Pittsburgh compound-B (PiB) PET to detect amyloid burden, MRI to detect markers of SVD, including the volume of white matter hyperintensities and the number of lacunes, and detailed neuropsychological testing. The whole-brain networkw as assessed by network parameters of integration (shortest path length, global efficiency) and segregation (clustering coefficient, transitivity, modularity). PiB retention ratio was not associated with any white matter network parameters. Greater white matter hyperintensity volumes or lacunae numbers were significantly associated with decreased network integration (increased shortest path length, decreased global efficiency) and increased network segregation (increased clustering coefficient, increased transitivity, increased modularity). Decreased network integration or increased network segregation were associated with poor performances in attention, language, visuospatial, memory, and frontal-executive functions. Our results suggest that SVD alters white matter network integration and segregation, which further predicts cognitive dysfunction.
URI
http://hdl.handle.net/20.500.11754/21681http://content.iospress.com/articles/journal-of-alzheimers-disease/jad141623
ISSN
1387-2877
DOI
http://dx.doi.org/10.3233/JAD-141623
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOENGINEERING(전기·생체공학부) > Articles
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