Hi Carlotta,
The paper you linked to is doing something differently - they are
looking at the correlation between each subject's behavioural
measures, and mean percent-signal-changed across a group of
pre-defined regions.
In order to do something like this, you need to decide on the regions
you are interested in, create a binary mask of those regions, and then
use that mask to interrogate the cope image(s) for the contrast(s) you
are interested in. Once you have created a mask image, you can use
featquery to calculate regional metrics.
Paul
On 25/03/2019, Carlotta Fabris <[log in to unmask]> wrote:
> Yes there are some missing values, and I will exclude them from the
> correlation.
>
> I don't know how to determine which DV corresponds to which p-peak. It is
> the first time I do it and I have been asked to do it, but I really have no
> idea how. I found an article that talks about it, but it just says that they
> did a Pearson correlation. Here is the link:
> https://url.upwork.com/_01jZKW8PAMk9IN4_c3wLhgLptkf0Ac65lL
>
> Thank you,
> Carlotta.
>
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