Dear all,
we ae analyzing currently a data set where subjects have learned two
categories and its members. What we want to do is to show, that two
regions show a functional connectivity which increases over time.
But we have the following two problems:
PPI is looking for a relation from on region to all possible parts of
the brain...
If we would use DCM we cannot extract the time series at the beginning
from the experiment as the regions that we are interested in show no
activaton...
What we have alreday done is to use the activation cluster from the
learned condition, extracted the signal changes during learning and
looked than for correlations between the signal changes of both areas
but this seems not to be the best way...
Any help or comments?
Many thanx
boris
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