• DocumentCode
    736508
  • Title

    Granger causality analysis in the neural mass model

  • Author

    Liang, Li ; Deng, Bin ; Wang, Jiang ; Wang, Ruofan ; Wei, Xile ; Yu, Haitao ; Qin, Yingmei ; Yang, Chen

  • Author_Institution
    School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    4641
  • Lastpage
    4645
  • Abstract
    The study of brain functional connectivity has become an important aspect of neuroscience. With the development of different methods to detect functional connectivity, the neural mass model based on physiology provides a basis for validating methods. As a popular method of discovering functional connectivity, Granger causality is applied to many fields of neurophysiology, but the mapping between Granger causality and coupling strength of neural mass model is unclear. To explore this relationship, we make a simulation to change the coupling strength of a double-column mass model, and calculate the corresponding Granger causality value. It is found that Granger causality and coupling strength has a relationship but nonlinear.
  • Keywords
    Analytical models; Brain modeling; Couplings; Electroencephalography; Mathematical model; Sociology; Statistics; Granger causality; coupling strength; neural mass model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7260356
  • Filename
    7260356