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 <TEX>$^{11}C$</TEX>-PIB PET data of the Alzheimer's Disease or mild cognitive impairment. In this study, we acquired <TEX>$^{18}F$</TEX>-FDG PET and <TEX>$^{11}C$</TEX>-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 <TEX>$^{11}C$</TEX>-PIB PET images as well as <TEX>$^{18}F$</TEX>-FDG PET images. <TEX>$^{11}C$</TEX>-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 <TEX>$^{11}C$</TEX>-PIB PET images.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
