[FieldTrip] Grandaverage after regressing out headposition confounds

[Porada Danja]

Hi,

I would like to compute a grand average of the individual ERFs after I already used ft_regressconfounds (in order to deal with changes in head position during the experiment).

Here is the problem:
For regressing out head position confounds I have to keep the individual trials during the timelockanalysis. But for computing the grand average afterwards I need averages and not individual trials. Which is the best way to obtain the average?


And I have another question: Do I have to calculate the planar gradient before computing the grand average?


Best,
Danja