Dear FSL experts,
I am trying to find the best way to apply a corrected P to my FEAT (fMRI) results, without being too conservative. I am working with a mask that contains about 1000 voxels. If I did here a Bonferroni correction, I'd have a corrected P of 0.05/1000. Since it has been extensively reported and explained in the different tutorials, this is too conservative for smoothed brain images, and the number of independent comparisons is considered equivalent to the number of Resels (rather than the number of voxels). In my case, the mask has about 9 Resels.
Would it be correct to use a P = (0.05/9) in my high level FEAT analyses? If so, would the right way to do it adding a prethreshold mask and setting an "uncorrected" P=0.0056 in the poststats tab?
Thank you so much,
Javier
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Javier Bernacer-Maria, Ph D
Caja Madrid Foundation Postdoctoral Fellow
Brain Mapping Unit - University of Cambridge
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