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Connectivity analysis of normal and mild cognitive impairment patients based on FDG and PiB-PET images

Title
Connectivity analysis of normal and mild cognitive impairment patients based on FDG and PiB-PET images
Author
이종민
Keywords
Connectivity analysis; FOG-PET; PiB-PET; Mild cognitive impairment
Issue Date
2015-09
Publisher
ELSEVIER IRELAND LTD
Citation
NEUROSCIENCE RESEARCH, v. 98, Page. 50-58
Abstract
Connectivity analysis allows researchers to explore interregional correlations, and thus is well suited for analysis of complex networks such as the brain. We applied whole brain connectivity analysis to assess the progression of Alzheimer's disease (AD). To detect early AD progression, we focused on distinguishing between normal control (NC) subjects and subjects with mild cognitive impairment (MCI). Fludeoxyglucose (FDG) and Pittsburgh compound B (PiB)-positron emission tomography (PET) were acquired for 75 participants. A graph network was implemented using correlation matrices. Correlation matrices of FOG and PiB-PET were combined into one matrix using a novel method. Group-wise differences between NC and MCI patients were assessed using clustering coefficients, characteristic path lengths, and betweenness centrality using various correlation matrices. Using connectivity analysis, this study identified important regions differentially affected by AD progression. (C) 2015 Elsevier Ireland Ltd and the Japan Neuroscience Society. All rights reserved.
URI
http://www.sciencedirect.com/science/article/pii/S0168010215001297http://hdl.handle.net/20.500.11754/27705
ISSN
0168-0102; 1872-8111
DOI
10.1016/j.neures.2015.04.002
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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