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http://dx.doi.org/10.9718/JBER.2014.35.3.68

Brain Connectivity Analysis using 18F-FDG-PET and 11C-PIB-PET Images of Normal Aging and Mild Cognitive Impairment Participants  

Son, S.J. (Department of Electronic, Electrical and Computer Engineering, Sungkyunkwan Univ.)
Park, H. (School of Electronic and Electrical Engineering, Sungkyunkwan Univ.)
Publication Information
Journal of Biomedical Engineering Research / v.35, no.3, 2014 , pp. 68-74 More about this Journal
Abstract
Recent research on mild cognitive impairment (MCI) has shown that cognitive and memory decline in this disease is accompanied by disruptive changes in the brain functional network. However, there have been no graph-theoretical studies using $^{11}C$-PIB PET data of the Alzheimer's Disease or mild cognitive impairment. In this study, we acquired $^{18}F$-FDG PET and $^{11}C$-PIB PET images of twenty-four normal aging control participants and thirty individuals with MCI from ADNI (Alzheimer's Disease Neuroimaging Initiative) database. Brain networks were constructed by thresholding binary correlation matrices using graph theoretical approaches. Both normal control and MCI group showed small-world property in $^{11}C$-PIB PET images as well as $^{18}F$-FDG PET images. $^{11}C$-PIB PET images showed significant difference between NC (normal control) and MCI over large range of sparsity values. This result will enable us to further analyze the brain using established graph-theoretical approaches for $^{11}C$-PIB PET images.
Keywords
Brain network analysis; Brain connectivity; PET; FDG; PIB; Mild cognitive impairment;
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