[pymvpa] rapid event-related design / beta series approach using PyMVPA

Yaroslav Halchenko debian at onerussian.com
Thu Oct 11 14:10:18 UTC 2012

On Thu, 11 Oct 2012, divadd at web.de wrote:

>    Dear all,
>    I’m a newbie to PyMVPA and I want to analyse a rapid event-related fMRI
>    design (Stimulus presentation: 2s; time between two stimuli: 3,5 s (Jitter
>    of +1s), TR: 2s). I used SPM to build a model where each stimulus
>    presentation forms an own regressor. This gives me one beta image (sample)
>    per stimulus presentation (event). Now I’m wondering if there is a way to
>    use these beta images for classification in PyMVPA.  Can I simply create a
>    dataset (fmri_dataset) of my beta images? 

Sure -- just give filenames with betas in a list.  moreover you can
become even fancier -- do you estimate GLM model with HRF derivatives?
load those as well and hstack two such datasets...  but that is getting
a bit more advanced I guess ;)

> Or is there something special   that I have to consider?

not really -- just make sure to use up to date PyMVPA (version 2.2.0
Yaroslav O. Halchenko
Postdoctoral Fellow,   Department of Psychological and Brain Sciences
Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
Phone: +1 (603) 646-9834                       Fax: +1 (603) 646-1419
WWW:   http://www.linkedin.com/in/yarik        

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