Dear FSL community,
I need to perform seed-based correlation analysis on a large data set from resting state scans. I have generated flitered_func_data for all subjects and have all required seeds. What would be the best option to perform the analysis? Concatenate data from each subject into a single 4D volume and use concatenated time series of each of my seeds (from all subjects) as my model within FEAT? or do I have to run separate analysis for each subject?
Thank you very much!
Victor
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