FSLers,
So when using dual-regression/randomise I know that you have to look at t-stat values for associated, non-interaction contrasts to interpret significant interaction effects.
However, I'm a bit unsure as to the best way to do so with FSLnets results. What output should I be looking at to interpret significant interactions - particularly if the non-interaction contrasts are not significant?
Would I simply look at output from nets_boxplots?
Thanks
Paul
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Paul Beach
DO/PhD candidate - Year VI
Michigan State University
- College of Osteopathic Medicine
- Neuroscience Program
- MSU Cognitive and Geriatric Neurology Team (CoGeNT)