Group Analysis with Both Individual Effect and Within- Subject Variability

نویسندگان

  • Gang Chen
  • Ziad S. Saad
  • Robert W. Cox
چکیده

Data analysis in FMRI could be performed in one grand multilevel model that incorporates both withinand cross-subjects variabilities. However, it is due to the presence of both variance components that such a nonlinear model makes computation currently impractical, forcing analysts to adopt a two-stage approach: individual analysis with a time series regression model that explores activations in individual brains, and group analysis that integrates the results from all subjects.

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تاریخ انتشار 2010