Hi Danilo, 

We have done some work looking at classifiers trained on one sensory modality 
and tested on another modality (using pymvpa) to find sensory-independent 
representations, for example:

http://www.jneurosci.org/content/32/47/16629.abstract

In that paper the classification was done within individuals, but we have done 
it successfully across individuals as well (leave one subject out 
cross-validation).   There are many reasons why an analysis such as the one you 
propose might fail, but if learning transfers from one study to the other I 
think that is very interesting.  I would be interested to hear other opinions 
on this.  

-Jonas

----
Jonas Kaplan, Ph.D.
Research Assistant Professor
Brain & Creativity Institute
University of Southern California

On Mar 14, 2013, at 11:42 AM, Danilo Bzdok <[email protected]> wrote:

> Dear list,
> 
> I would like to apply pattern classification to a single seed region, in 
> which two fMRI studies revealed convergence. Each of these fMRI studies used 
> the same stimulus material across four tasks (to focus on top-down effects by 
> subtraction). Both these fMRI studies used the same four tasks, but differed 
> in the sensory modality on which the task is based (visual vs auditory). In 
> every other respect the fMRI settings/protocoll were practically identical.
> Here's now my question: Is it possible to train a classifier for neural 
> activity patterns in the converging seed region to test whether activity in 
> that area is sensory-independent or sensory-specific? Or is there too much 
> confound when comparing between two subjects from very similar yet different 
> fMRI studies? Any help would be greatly appreciated.
> 
> -- 
> Best,
> Danilo Bzdok
> _______________________________________________
> Pkg-ExpPsy-PyMVPA mailing list
> [email protected]
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