Dear Cameron,

thanks very much for making the atlas and scripts available. I have some questions regarding this. I'd like to use the parcellations as independent ROIs for our task-based fMRI study to extract parameter estimates and correlate these with behavioural measures. I understand that a cluster size of 200 does still represent meaningful anatomical labels. I'll also try higher splitting, but in general would that be a sound approach (using these as independent ROIs)?

From reading your article I don't think you compared the result s you've obtained from your sample with the independent one (Biswal) in terms of consistency across different study populations when running the tcorr. Or did you and it's just not been reported?

Since the parcellation is based on timeseries similarity, there's no way of attributing a cluster to a certain functional network as size and thus overlap will depend on the number of clusters chosen, is that right?

Thanks very much for your help and efforts.

Best,

Torsten