Dear CONN experts,
I would like to apply graph theory for task-based functional connectivity, i.e., connectivity related to the difference between 2 frequencies of muscle vibration (60Hz and 20 Hz). I am thus interested in connectivity during 60 Hz that "goes above" 20 Hz.
I have a network of 20 ROIs. I specified both stimulus conditions (60 Hz, 20 Hz), as well as rest blocks (no stimulus) at the first-level (onsets and durations of blocks) and included stimulus conditions as confounds during Denoising (as well as motion parameters, CSF, WM).
I would like to calculate graph theoretical measures of the contrast of 60 Hz - 20 Hz in my subject group ("patients", n=20). Therefore, I selected patients, contrast [1] in the between-subject contrast field, and 60 Hz and 20 Hz, contrast [1 -1] in the between-conditions contrast field. After clicking Graph Theory, specifying my desired adjacency matrix threshold and clicking Export data, CONN saves a .csv file, a two .mat files (xxx.networkmeasures, xxx.stats). When opening the .csv file, I noticed I have 40 rows, with different graph theoretical measures for the network, and for each ROI. I assume that the rows 1:20 contain graph measures for my 20 patients for condition 60 Hz, and that rows 21:40 contain the same measures for condition 20Hz. Is this correct?
However, I am specifically interested in calculating graph measures on the difference in connectivity between both conditions. Can I obtain this by calculating "difference matrices" per subject, i.e., by subtracting their correlation matrix at 60 Hz and correlation matrix at 20 Hz, and apply graph theory analysis on these difference matrices?
Thank you for your help,
Kind regards,
Nina