Hello,

I would really appreciate some support and guidance with my contrast set up in the results (2nd level tab). Is this set up correct? I am mainly interested in doing the analyses seperate right now for groups. I have one project (Patients) and another project (controls) set up. There are 14 participants in each group.

For the first project (patients only) I want to see the interaction between visual perception scores and functional connectivity. 

This is my design matrix ( intercept, behavioural score, and interaction*Visual Perception was all added by me in the set up tab under 2nd level covariates).

1 for intercept, second option (selecting data from "All Subjects" in the 2nd level tab) <-- I am assuming this is coded as 1. The third column is 56 for example, and then 56 again (since 1 x 56 is 56 for the interaction).

1 1 56 56

To summarize:

- Column 1: Intercept
- Column 2: All Subjects (Functional Connectivity Matrix)
- Column 3: Behavioral Score
- Column 4: Interaction (Behavioral Score)

Given this setup, and considering that I am conducting the analysis within one group (patients), the contrast I am selecting is [0 0 0 1] since I want to know the effect of the interaction term. I am also thinking of using NBS in the analysis section of CONN.

Is it okay to have "All Subjects" as the selection for the second contrast (second column) in the design matrix? Is it going to account for each individual matrix connected to its own behavioural measure, or do I need to add another covariate in the second level to organize anything?

I am just wondering if I am considering the functional connectivity data for all subjects collectively in the analysis? Or how does that work?

Thank you for helping me understand this set up, and please let me know if I need to change anything given my research question. I look forward to hearing from you.