[FieldTrip] common filter with more than two conditions

[Arjen Stolk]

Hey Lin,

Provided that there are no systematic confounds (e.g. head position) across
conditions, you could construct a common filter based on data from all
conditions. I would leave any statistical comparison to after
source-reconstruction.

Does that answer your question?
Arjen

2016-03-07 1:51 GMT-08:00 Lin Wang <wanglinsisi at gmail.com>:

> Dear community,
>
> I'm trying to do lcmv beamformer source analysis with a common filter for
> more than two conditions. I have a 2A (A1, A2) * 2B (B1,B2) design, and I
> am interested in both the main effect of A (A1 vs. A2) as well as the
> simple effects (A1B1 vs. A2B1 and A1B2 vs. A2B2).
>
> My question is how to build the common filter. I could combine all the
> four conditions to obtain a common filter for the contrast of A1 vs. A2.
> Then can I also use this common filter to compare A1B1 vs. A2B1? Or do I
> have to build a different common filter (to combine the A1B1 and A2B1
> conditions) for the contrast of A1B1 vs. A2B1?
>
> Thanks for your help in advance!
>
> Best,
> Lin
>
>
>
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