Course Schedule
1 fMRI univariate analysis: General linear model
2 fMRI multivariate analysis: Principal component and independent component analysis
3 fMRI multivariate analysis: Partial Least Squares
4 MEG distributed source analysis: minimum-norm estimate and beamformer
5 MEG spectro source analysis
6 fMRI – MEG integration
7 Connectivity analysis: structural equation modeling
8 Connectivity analysis: Granger causality

Course Grades
Homework: 50% Final report: 50%