Hello,
I have about 29 participants who underwent 2 scans (one after experimental condition and one after control condition). I would like to run some type of paired t-test on my all_FA_skeleton results. I am curious what the best method for controlling for multiple comparisons is? I am looking into using fsl's gui_glm to create the design parameters and then to use randomise.
My all_skeleton.nii file is ordered like this....(AES101.Ex, AES101.Rest, AES102.Ex, AES102.Rest.....)
I set up my design.mat like this....
1 1 1 0 0 0
1 -1 1 0 0 0
1 1 0 1 0 0
1 -1 0 1 0 0
and so forth for all 58 scans.
Then I was planning to use
randomise -i all_FA -o tbss -d design.mat -t design.con -e design.grp -m mask (*which is a file with mean_skeleton * mean_FA) -T2 -n 10000
When I get my tbss_paired_ttest and tbss_paired_tfce_corrp_tstat data what type of further thresholding do I need to perform and how should I go about interpreting these results?
This is my first time analyzing skeleton tbss data and I would like to learn how to best run statistical analysis on this type of data. Any critiques of the method I plan to use or suggestions for other ways to analyze the data would be greatly appreciated.
Best,
Daniel
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