[pymvpa] Analysing data from a 1-run block design

Jan Derrfuss derrfuss at gmail.com
Tue Mar 31 09:56:49 UTC 2015

Hi all,

I was wondering if there's a recommended way to analyse fMRI data from a 
block design where all data were acquired in one run. I've modelled each 
block individually and now have one parameter estimate for each block. 
There were two conditions (A and B) with 6 blocks each. Conditions 
alternated (A - B - A - ... - B) and were separated by 15-s rest phases. 
Half of the participants started with A, the other half with B.

In particular, I was wondering
a) how much of a problem the single run is,
b) how chunks should be assigned,
c) what type of preprocessing should be applied, and
d) if there's a classifier that would be expected to work well under 
these conditions.

I've searched the Internet, but couldn't find anything really useful. If 
I've missed something, feel free to point me to the relevant 
page/posting. In any case, your feedback would be very much appreciated.


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