Open Abrar-26 opened 9 months ago
To replicate our analyses, you need to re-format your data. For our ICC function, the input is an n x k matrix where n is the number of ROIs and k is the number of scanning sessions. Each entry of the matrix M[i,j] is the rs connectivity for ROI i in scan j in relation to a seed ROI. It's not clear your current data works because it looks like it has been thresholded.
Thanks for your comment. Yes, it is thresholded as in the attached screenshot. The matrix represent averaged functional connectivity between each pair of ROIs 21x21 for 9 subjects (scans?) across one dataset, so as in the second dataset. Do you have any suggestion how to reformat data? I am quite beginner with MATLAB.
Note: "RRC matrices represent the level of functional connectivity between each pair of ROIs. Each element in an RRC matrix is defined as the Fisher-transformed bivariate correlation coefficient between a pair of ROI BOLD timeseries (CONN)"
This software is over 10 years old now, and I no longer have access to a Matlab subscription, so I am unable to provide advice on reformatting data.
Hi, I have two adjacency matrices ((adj.RS1 & adjRS2) computed as an output of functional connectivity (graph theory) analysis of a test-retest dataset from CONN toolbox. I would like to compute and plot the Intraclass Correlation Coefficient (ICC) to assess test-retest reliability between these two adjacency matrices. How can I perform ICC analysis and plot the output with ROI labels? Matrices are as given below in the screenshots (matrix 1=adjRS1). Thanks for your help.