Dear Experts,
I was just reading in the Smith et al. (2013) paper about correcting for autocorrelations (footnote 7) and was wondering if there were any type of corrections you would advise. I am aware that I should demean, and then normalize the individual time series before concatenating across sessions (https://wiki.humanconnectome.org/display/PublicData/HCP+Users+FAQ - point 3), but I am wondering if there are any suggestions about mixture-model corrections or pre whitening. I am interested in creating a parcellated connectome using the surface based data based off of an ROI atlas and was wondering if concerns about autocorrelations would be a problem when exploring dynamic functional connections between the ROI time series. Thanks in advance! Jason _______________________________________________ HCP-Users mailing list [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users
