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? Or is there something special that I have to consider?
I’m thankful for any help.
Best,
David.
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? Or is there something special that I have to consider?
I’m thankful for any help.
Best,
David.
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