help > Running seed-based ROI-to-ROI analysis in CONN using externally computed connectivity matrices
Mar 25, 2026  03:03 PM | tbn
Running seed-based ROI-to-ROI analysis in CONN using externally computed connectivity matrices

Hi everyone,


I’m trying to run second-level analyses in CONN, but I’ve run into some confusion and would really appreciate some guidance.


I’ve already completed my first-level analyses using the TMFC toolbox. This gave me ROI-to-ROI connectivity matrices (not z-scores, but subject-level beta/contrast estimates) for different task conditions. So for each subject and condition, I have a full connectivity matrix (ROI × ROI).


My goal is to take these matrices and perform second-level analyses in CONN, specifically:




  • Seed-based ROI-to-ROI analysis using the NAcc as seed (left and right separately)




  • Group comparisons 




  • Regressions with clinical variables




  • Across multiple condition contrasts (e.g., condition A > condition B,  etc.)




I tried to integrate these outputs into CONN by using a script with functions like conn_mtx_write to format my matrices into .mtx.nii files, assuming this might allow CONN to treat them as first-level inputs for second-level analysis.


However, I’m not fully sure how to correctly define and use the NAcc (left and right) as seeds in this setup. Is there a code template or similar?


I would really appreciate any advice or examples of how to properly set this up.


Thanks a lot in advance!