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Recent research on mild cognitive impairment (MCI) has shown that cognitive and memory decline inthis disease is accompanied by disruptive changes in the brain functional network. However, there have been nograph-theoretical studies using 11 C-PIB PET data of the Alzheimer’s Disease or mild cognitive impairment. In thisstudy, we acquired 18 F-FDG PET and 11 C-PIB PET images of twenty-four normal aging control participants and thirtyindividuals with MCI from ADNI (Alzheimer’s Disease Neuroimaging Initiative) database. Brain networks were con-structed by thresholding binary correlation matrices using graph theoretical approaches. Both normal control andMCI group showed small-world property in 11 C-PIB PET images as well as 18 F-FDG PET images. 11 C-PIB PETimages showed significant difference between NC (normal control) and MCI over large range of sparsity values. Thisresult will enable us to further analyze the brain using established graph-theoretical approaches for 11 C-PIB PETimages.Key words: Brain network analysis, Brain connectivity, PET, FDG, PIB, Mild cognitive impairment

Brain Connectivity Analysis using18F-FDG-PET and11C-PIB-PET Images of Normal Aging and Mild Cognitive Impairment Participants

Brain Connectivity Analysis using¹⁸F-FDG-PET and¹¹C-PIB-PET Images of Normal Aging and Mild Cognitive Impairment Participants