• DocumentCode
    3069167
  • Title

    The spatial pattern of basal ganglia network: A resting state fMRI study

  • Author

    Wen, Xuyun ; Yao, Li ; Fan, Tingting ; Wu, Xia ; Liu, Jiangtao

  • Author_Institution
    State Key Lab. of Cognitive Neurosci. & Learning, Beijing Normal Univ., Beijing, China
  • fYear
    2012
  • fDate
    1-4 July 2012
  • Firstpage
    43
  • Lastpage
    46
  • Abstract
    Basal ganglia, consisting of the putamen, caudate nucleus, pallidum, substantia nigra and subthalamic nucleus, are associated with a variety of functions, including motor, cognitive, motivational, and emotional processes, and play an important role in numerous neurological and psychiatric disorders. Here, we utilized two kinds of resting state functional connectivity techniques: independent component analysis (ICA) and regions of interest (ROI) based correlation analysis, to find the spatial pattern of basal ganglia network through functional magnetic resonance imaging (fMRI) examination during rest. fMRI data were acquired in twenty-one healthy subjects. The results identified the existence of resting state network in basal ganglia and thalamus. Meantime, our study highlighted that caudate nucleus was also a part of this network. Compared with ROI-based analysis, the approach of ICA was more suited to detect this network.
  • Keywords
    biomedical MRI; data acquisition; independent component analysis; medical disorders; medical image processing; neurophysiology; basal ganglia network; caudate nucleus; cognitive processes; data acquisition; emotional processes; functional magnetic resonance imaging; independent component analysis; motivational processes; motor processes; neurological disorders; pallidum; psychiatric disorders; putamen; regions-of-interest based correlation analysis; resting state fMRI; spatial pattern; substantia nigra; subthalamic nucleus; Diseases; Physiology; Software; ROI analysis; basal ganglia; independent component analysis; resting state;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering (CME), 2012 ICME International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    978-1-4673-1617-0
  • Type

    conf

  • DOI
    10.1109/ICCME.2012.6275632
  • Filename
    6275632