Dear all,
We are using DPARSFA in order to make an alff/falff analysis with a sample of 89 subjects. When we go for a second level analysis, FWE<0.05 results are a black mass of significant results all over the brain so we have to raise the T threshold up to a value of 80 in order to gain some specificity. Are we doing these analyses correctly? How do we set a t-value threshold that would give us significant information (not only significant results)?
Thanks very much in advance for any help.
Best,
V
We are using DPARSFA in order to make an alff/falff analysis with a sample of 89 subjects. When we go for a second level analysis, FWE<0.05 results are a black mass of significant results all over the brain so we have to raise the T threshold up to a value of 80 in order to gain some specificity. Are we doing these analyses correctly? How do we set a t-value threshold that would give us significant information (not only significant results)?
Thanks very much in advance for any help.
Best,
V
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Re
This also happens when you perform ONE sample t-test on functional connectivity maps. Most of the voxels will be significantly correlated with your seed.
Since ONE sample t-test can not tell you the difference between groups (you need TWO-sample t-test or ANOVA), then you can set a very high threshold (e.g., 0.001) for visualization.