[FieldTrip] Running sensor space stats then source?

[Peter Goodin]

Hi fieldtrip list,

I'm about to start running some stats on my data but have run into a bit of a problem when it comes to the correct method.

I'm interested in looking at ER "p3" activity and so will first be using the cluster based tests in fieldtrip to examine for significant differences between my two groups, limiting the TOI to around 300 - 500ms.

The problem comes when I want to to do source localisation, as I'll be using the same time window, just in a different (more assumption filled) space.  In my head it's like running a t-test on "raw" data then doing it again transformed (eg, log transform) numbers, removing any assumption of independence and by conventional wisdom shouldn't be done.

Most of the articles I've read seem to go for one or the other but those that use both don't make any discussion regarding it. Can anyone point me in the right methodology direction?

Thanks,

Peter.

__________________________
Peter Goodin,
BSc (Hons), Ph.D Candidate.

Brain and Psychological Sciences Research Centre (BPsych)
Swinburne University,
Hawthorn, Vic, 3122

Monash Alfred Psychiatry Research Centre (MAPrc)
Level 1, Old Baker Building
Commercial Road
Melbourne, Vic, 3004


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