Good morning,
I would like to check to make sure what I understand about the basics of correcting for mulitiple comparisons is true.
Let say I have one subject with no-task resting state data analysed by Melodic with IC Map thresholded at 0.99. Then:
- Several of the IC Maps are found to be noise
- Those remaining should go on to correction for multiple comparisons
- If I use randomise the command for the single subject would be filled in as such:
randomise -i <input> -o <output> -d <design.mat> -t <design.con> [options]
randomise melodic_IC.nii.gz -o melodic_IC_randomiseoutput -1 -1 -T
Would it be correct to say that this would:
1. performThreshold-Free Cluster Enhancement of the threshzstat images of the melodic derived independant components?
2. Is TFCE the best choice for multiple comparison correction in this case, or is there a more suitable tool, such as FDR?
2. Should I first try to remove the components from melodic_IC that are noise prior to performing this step?
3. If this is correct, how to I generate the corrected individual IC maps from the single output image of the above step?
4. Is there a tool to optimize the orginal choice of IC Map threshold in Melodic?
Most gratefully,
Varina
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