Hi Prof. Smith,
Thanks for your reply. I have some follow-up questions for clarifying the statistical output. I know if I specify design matrix and contrast matrix for timecourse and subject mode, the Melodic will generate two GLM regression fit tables for the timecourse and subject mode respectively. But if I want to look for task-related components, should I look at the p values in the contrasts column? What does it represent if it is significant for the F-test on full model fit, but not significant for the contrasts and vice versa? As far as I know, if the p value of a contrast shows that it is significant should represent the timecourse of that component is significantly active/valid corresponding to that contrast. So if it shows that the p value of a contrast is significant, then the p value for the F-test on full model fit should also be significant, but it is not always true for the opposite direction. Am I right?
For the sessions/subjects mode, if I define '1' as group1 and '2' as group2, C1 represents group1 > group2 and C2 represents group2 > group1. If p value for C1 is significant, can I say that the 'activated' regions (indicated by red color) shown in that component is significantly larger in group1 compared with group2, or 'deactivated' regions (indicated by blue color) is significantly smaller in group1 than group2?
Maybe I am a bit confused with the basic concept of the TICA, and may not deliver my questions clearly. But I am glad if you can give me a clearer concept for the interpretation of the results (between spatial pattern, temporal pattern and subjects mode).
Best regards,
Angel
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