https://www.mail-archive.com/search?l=freesurfer@nmr.mgh.harvard.edu&q=from:%22Douglas+N+Greve%22

Thank you for the insight; that is very interesting. I'm performing tests of continuous independent variables over a single sample of normally developing children (ages uniformly distributed from 8 to 15 along with 50/50 gender split). The IV is, for example, age-normed cognitive scores falling in a normal distribution. Since there is only one group, I suppose creating my own template from all samples could introduce significant bias; especially if there are hidden sources of heterogeneity I'm unaware of.

Thank you.

Best, Chintan

On 11/09/2017 07:07 AM, Greve, Douglas wrote:

It might capture specific anatomical features that are unique to your data set. It can be tricky though as you need to make sure to include an equal mix of all your groups. Eg, if you have 20 ADs and 10 controls, you'd need to make an atlas with 10 ADs and 10 controls.