Hi pals, I have a question about the way partial correlations were estimated for the megatrawl using FSLnets. Going through the 'ridgep' section of nets_netmats.m, it looks like the covariance matrix for each subject is normalized by the square root of the mean of the variances squared - yes, no, maybe so?
from line 88 of nets_netmats.m: grot = cov(<component timeseries>); grot = grot/sqrt(mean(diag(cov1).^2)); I'm just trying to figure out why you square the variances before you take the mean. Can someone give me a quick explanation or point me towards a good reference? Thanks in advance for your help! mb _______________________________________________ HCP-Users mailing list HCP-Users@humanconnectome.org http://lists.humanconnectome.org/mailman/listinfo/hcp-users
