Hi!
I have been thinking about the scale block, which I have never used. As far as I understand, it should not affect the final statistical group maps of e.g. a task where we compare the beta values. But it would affect the averages of an ROI.
For resting state seed analysis, is it important to use the scale block? We would e.g. use a DMN seed, for each subject take the average time course from the errts time series and preform a regression for each subject on the errts data using the seed time series as a regressor to generate individual correlation maps which we then group compare by via a 3dttest++ using the correlation coefficients.
Would scale on/off make a difference in the final group result? Do you recommend using scale, or is it even a required?
Many thanks!
