I am using the GUI to pre-processing my scans and have selected to automatically tlrc my data into the MNI_avg152 space. Currently, I am working with a data set comprised of patients and controls, where the patients demonstrate some atrophy (some more than others). I was wondering whether manual vs. auto tlrc may result in more accurate aligning, especially for my patients with atrophy.
Thank you in advance for your help.
I would use the auto_warp.py or @SSwarper methods to align to a template. The original MNI_152 template is fairly blurry. I recommend the 2009 version which has much more detail or the N27 dataset in MNI space. We are developing a newer template for older subjects with atrophy, but that is not yet available.
Thank you for your reply and your help.
In the uber_subject GUI, can I just substitute the “MNI_avg152T1_tlrc” for either MNI_N27+tlrc or MNI152_2009_template (I am not 100% sure if those are the correct names of the templates you were referring to)?
Thank you in advance for your assistance.