Hi Koushik,
the cross sectional results are from processing the images independently. Those results are more noisy than necessary. By using information from across time points within the same subject (longitudinal stream) noise can be removed, so you will get more reliable and more sensitive estimates in the longitudinal dirs.
Happy new year, Martin
On 12/29/2015 01:09 PM, Govindarajan, Koushik Athreya wrote:
Hi there,
I have run my subjects from multiple time points through a cross-sectional stream and a longitudinal stream. When I look at the 'stats' directory for the same subject from the cross-sectional pipeline and the longitudinal pipeline, I see that the numbers are different. For example, the cortical thickness values in the lh.aparc file for the same subject are different. Is one estimation more accurate than the other? Where is the difference coming from?Thanks Koushik Govindarajan
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