Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Brain Connectivity Analysis using 18F-FDG-PET and 11C-PIB-PET Images of Normal Aging and Mild Cognitive Impairment Participants

정상 노화군과 경도인지장애 환자군의 18F-FDG-PET과 11C-PIB-PET 영상을 이용한 뇌 연결망 분석

  • Son, S.J. (Department of Electronic, Electrical and Computer Engineering, Sungkyunkwan Univ.) ;
  • Park, H. (School of Electronic and Electrical Engineering, Sungkyunkwan Univ.)
  • 손성진 (성균관대학교 전자전기컴퓨터공학과) ;
  • 박현진 (성균관대학교 전자전기공학부)
  • Received : 2014.06.04
  • Accepted : 2014.06.20
  • Published : 2014.06.30
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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.

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