Dear SPM experts,
I do have a simple designmatrix (see attached) that goes over 10 consecutive runs.
each is modelled by only one condition (offer in an ultimatum game) and one parametric modulator (EEG theta power). Condition & PM have 3 regressors each (canonic HRF, time derivative, dispersion derivative) followed by the 6 motion parameters from realignment.
I would like to create a contrast across all runs (sessions) that models the way the PM of one run predicts the succeeding run's condition BOLD response ( PM_canonic(run x) predicts condition_canonic(run x+1) ).
I would be glad, if someone could advice me on this.