[FieldTrip] ICA on each trial or collapsing over all trials
Dorothee Hoppe
dorothee-brigitte.hoppe at student.uni-tuebingen.de
Thu Apr 2 15:44:05 CEST 2015
Dear Discussion Group members,
we want to use ICA for artifact correction, and now got stuck at the
point of deciding whether to compute the ICs on the trial level or on
the whole dataset for a subject. Using the whole dataset, the
advantage is probably a higher power of the ICA because of the larger
data input, so for example a blink component gets probably more
distinctive. On the other hand, we observed, that artifacts that occur
only in a small set of trials, like strong muscle artifacts cannot be
detected that way, or even lead to a distortion of the components for
that special trial.
Would you recommend an ICA on each trial or collapsing over all trials
(both options within each subject)? Are there other arguments to favor
or reject these options?
Best regards,
Dorothée
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