• DocumentCode
    1670888
  • Title

    Sex Differences in Hierarchical Clustering of the Spontaneous Fluctuations in Brain Resting State

  • Author

    Wang, Yuqing ; Chen, Huafu

  • Author_Institution
    Sch. of life Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • fYear
    2008
  • Firstpage
    2087
  • Lastpage
    2090
  • Abstract
    In order to analyze sex differences in brain functional networks at resting state, resting functional datasets were analyzed by integrating neighborhood local correlation (NLC) with hierarchical clustering analysis (HCA) methods to investigate the sex differences of hierarchical level. The HCA results show some hierarchical differences between subjects in the female group and in the male group. In female clustering hierarchies, regions including posterior cingulate cortex (PCC), left fusiform gyrus (LFG), right fusiform gyrus (RFG), thalamus and caudate nucleus were in a sub-hierarchical level, middle cingulate cortex (MCC), anterior cingulate cortex (ACC) and rectus gyrus (RG) were in another sub-hierarchical level. In male clustering hierarchies, bilateral fusiform gyrus, thalamus and caudate nucleus belonged to a sub-hierarchical level, but RG, ACC, MCC and PCC belonged to another sub-hierarchical level.
  • Keywords
    biomedical MRI; brain; medical image processing; MR images; anterior cingulate cortex; brain functional networks; brain resting state; caudate nucleus; hierarchical clustering analysis; left fusiform gyrus; middle cingulate cortex; neighborhood local correlation; posterior cingulate cortex; rectus gyrus; right fusiform gyrus; sex differences; spontaneous fluctuations; thalamus; Data analysis; Ethics Committee; Fluctuations; Head; History; Materials science and technology; Phased arrays; Psychology; Recruitment; Roentgenium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.851
  • Filename
    4535731