Hi,
RE the below post, we have longitudinal data from three time points, but a number of participants have scans for only one or two time points. We've done all of the cross-sectional analysis (including a lot of manual editing) and are ready to run everything through the longitudinal stream. Our plan was to run sets of analyses for all of the possible combinations of longitudinal scans.
e.g., Time 1, Time 2, Time 3; Time 1, Time 2; Time 1, Time 3; Time 2, Time 3
Obviously the new feature in version 5.2 (i.e., being able to run all images together, regardless of whether some time points are missing for some people) would be MUCH better. Is this possible to do using our 5.1 cross-sectionally processed images? Given the time we've put into manual editing, we really wouldn't want to have to run everything again through 5.2.
Thanks,
Sarah
....
Hi Henk-Jan,
to avoid bias between subjects with single time points and others, we run them through the same steps. This way it is possible to include them into the statistical analysis. (For this an artificial base is created with the head in an upright and straight position).
This feature will be available in 5.2. Nothing with respect to processing commands changes, you will simply pass only a single time point to the -base and then run it with -long. Nice and transparent :-).
Anyway, you probably should wait till 5.2. There is several programs that changed for this to work. Also the current recon-all contains many changes not related to this. If you absolutely cannot wait, let me know and I'll take a look at how difficult it is to go back and adjust 5.1.
Best, Martin
On Tue, 2012-12-04 at 17:06 +0000, Westeneng, H.J. wrote:
Hi Freesurfer experts,
This week a read the article of Bernal-Rusiel et al. titled “Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models”. In this article you described the submission of single time-point scans to the longitudinal pipeline of Freesurfer. I’m very interested in how to do this. Your help will be appreciated.
Thanks in advance,
Henk-Jan
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