• DocumentCode
    2769078
  • Title

    Fixed and Random Effect Analysis of Multi-subject Spatial Activation Maps in Wavelet Domain

  • Author

    Soleymani, Mohammad ; Hossein-Zadeh, G.A. ; Soltanian-Zadeh, Hamid

  • Author_Institution
    Univ. of Tehran, Tehran
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1389
  • Lastpage
    1392
  • Abstract
    A method is proposed for modeling random and fixed effects in statistical maps of multisubject fMRI data. Using this model, we separate a fixed common activation map and a random effect for each subject. The proposed model shows a good multisubject activation detection for group analysis and also illustrate that the between subject variation lies mostly in activated areas. The method was implemented and tested on both simulated and experimental functional MRI data of 9 subjects.
  • Keywords
    biomedical MRI; data analysis; statistical analysis; wavelet transforms; fixed effect analysis; group analysis; multisubject activation detection; multisubject functional magnetic resonance imaging data; multisubject spatial activation maps; random effect analysis; statistical maps; wavelet domain; Independent component analysis; Intelligent control; Magnetic analysis; Magnetic resonance imaging; Principal component analysis; Process control; Testing; Time series analysis; Wavelet analysis; Wavelet domain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.246855
  • Filename
    1716266