Hi everyone,
I have a question for stat experts.
I calculated cortical thickness for a region X for a group of patients (Group A: At baseline and after treatment A). Then I calculated cortical thickness for same region X for a group of patients (Group B: At baseline and after treatment B).
I have behavioral data: At baseline and after placebo treatment A and At baseline and after treatment B.
I found that: *For Behavioral Data:* - Paired t-test between baseline and after treatment A is not significant (magnitude after treatment > baseline). - Paired t-test between baseline and after treatment B is significant (magnitude after treatment > baseline). - Using repeated measures ANOVA, I found that the interaction between Time (baseline/post-treatment) and Group (A/B) is not significant.
*For Cortical Thickness:* - Paired t-test between baseline and after treatment A is not significant (magnitude after treatment < baseline). - Paired t-test between baseline and after treatment B is also not significant (but magnitude after treatment > baseline). - Using repeated measures ANOVA, I found that the interaction between Time (baseline/post-treatment) and Group (A/B) is significant.
Lastly, correlation between changes in behavioral data and changes in cortical thickness is not significant for group A but is significant and positive for group B.
I was wondering how can I interpret these results because in one case I am having significant interaction (for cortical thickness) between groups and in other case there is no significant interaction (for behavioral data) but paired t-test showed significant difference. In addition, there was a correlation between changes in behavioral data and changes in cortical thickness for group B.
So I am not sure how can I proceed from here onwards and justify my findings that interaction is important for cortical thickness but not for behavioral data and paired t-test is important for behavioral data but not for cortical thickness.
Any help would be really appreciated.
Thanks.