[FieldTrip] adapting leadfields after PCA/ICA

[Tessa van Leeuwen]

Dear FieldTrip users,

To save trials I plan on using ICA to remove eog artifacts from my MEG dataset. Because of the large number of channels (271) and limited trial-time (about 300 trials of 1.1 s in each run), we will most likely limit the number of possible components using PCA.

The combined PCA/ICA data-cleaning step will have consequences for source reconstruction approaches that we would like to apply to the data later on, e.g. beamforming. When ICA components representing eyeblink artifacts have been removed from the data, how can the leadfield for source reconstruction be adapted to account for the alterations to the data?
If anyone has more information about how to do this or can refer me to papers implementing such a pipeline, that would be highly appreciated.

Thank you very much in advance for any tips.

Best wishes,
Tessa van Leeuwen