Hello everyone,
I have a very greenhorn-comprehensive question about a 2nd Level fMRI ROI analysis, where I want to apply a small volume correction and a significance level of p -value FWE-corrected = 0.05.
I get different results with two different approaches:
1) select my contrast --> apply p uncorrected of 0.001 --> then in the results panel I click on "small volume" and select my ROI-mask I have created from a functional localizer earlier --> In my Stats-Table, I have several significant clusters below a FWE-corrected p-value of 0.05.
2) same procedure, but apply in the first step already a FWE-corrected p-value --> click on "small volume", select my ROI --> now I do not have any significant clusters anymore.
I was wondering what the difference between those two appoaches is? Why do I have some significant FWE-corrected p-values in one approach and not in the other, even though the only difference seems to be if I "filter" first or filter visually for FWE in my stats-table?
And which approach would be the recommended one?
Your advice is highly appreciated and thank you very much for your help in advance!
Best,
Lisa
Lisa Jeschke
PhD student
[log in to unmask]
+49 351 463-43897
Cognitive and Clinical Neuroscience / Professur für Kognitive und Klinische Neurowissenschaft
Technische Universität Dresden
https://tu-dresden.de/mn/psychologie/ifap/kknw
Lisa Jeschke
PhD student
[log in to unmask]
+49 351 463-43897
Cognitive and Clinical Neuroscience / Professur für Kognitive und Klinische Neurowissenschaft
Technische Universität Dresden
https://tu-dresden.de/mn/psychologie/ifap/kknw
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