Dear FSL experts,
I have 2 questions concerning randomise inference and DTI analysis. In
Jones et al paper (NeuroImage 2005;26:546-554) mention about the problem
in different smoothing parameter and parametric statistic inference. My
question is
1. If I use non-parametric approach and use variance smoothing under
randomise, is it still valid to overcome the non-normally disturbed
residuals problem ? what's the effect of variance smoothing ?
2. In randomise, if I calculate cluster-based threshold at one time,
should I redo the analysis again if I change the c_thresh ?
thanks replay
kl chen
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