I want to export my EEG data standardized with zlogratio. I have four different experimental conditions in my experiment. Would you say it is necessary, to calculate the tfr_Morlets over all conditions and to “average='False” and than doing the zlogratio and than asign to each condition? Instead of doing “average=‘True’” and than zlogratio for every condition seperatly
My thinking behind this is the following:
When “average=‘True’”, than there is no standardderivation to calculate on a subject level because there is only one averaged trial per subject
When zlogratio is done for every condition seperetly it only includes the standardderivation relative to that one condition, which could lower the difference between conditions.
I dont know how to explain this any better
I didnt find any paper yet that described that process specificly