Hi Dr. Stephan and SPMer,
My further question on this issue is that how to characterize the
individual's coupling parameters, if I have a cohort of subjects and each
subject has multiple seesions and now I try to do the correlation analysis
between the coupling parameters derived from the DCM and behavioral data.
Actually, I have analysed the data each session separately, however I am
not sure what is the appropriate way to produce the model parameters
representing the individual subject's property. Could I just average the
model (identical model structure) across the sessions in each subject and
consider the parameters from the averaged model could reflect the
individual's characteristics? or just calculate the arithmetic mean of the
parameters across session-specific models in each subject?
I read through the posting and it seems like that you experts thought it
is better to concatenate the data from different sessions so that it can
generate a subject-specific model under such a condition. Am I correct?
I would really appreciate your help!