Hi Yawu,

PALM can control for the baseline. Just include it as an EV in the model. This EV can be voxelwise (option -evperdat).

Using baseline as regressor should only be used in randomised designs, never in observational studies.

All the best,

Anderson

On 31 January 2018 at 03:35, Liu Y <[log in to unmask]> wrote:
Hi Anderson,
Thank you very much for the helps. It is running well now. One more question, it seems that the PALM could not control baseline DTI values, right? 
Best regards,
Yawu


2018-01-20 16:04 GMT+02:00 Anderson M. Winkler <[log in to unmask]>:
Hi Yawu,

In randomise you'd test each of these two differences (t2-t1 and t3-t1) separately. In NPC you'd do a joint test, in which information from both differences are used for a single inference that encompasses both. It can be understood as if there is an "overall" or "aggregate" effect across both tests (i.e., across both differences between timepoints).

All the best,

Anderson
 

On 15 January 2018 at 04:31, Liu Y <[log in to unmask]> wrote:
Hi Anderson,
In our preliminary analysis, I used 4D image of t2-t1 or t3-t1 and radomise analysis. I wonder how different between radomise and palm NPC analysis?
Best regards,
Yawu

2018-01-14 21:57 GMT+02:00 Anderson M. Winkler <[log in to unmask]>:
Hi Yawu,

Probably the safest approach is to do compute t2-t1 for each subject who has both timepoints, and also t3-t1 for each subject, and do a simple 2-group comparison (as in a two-sample, unpaired t-test) using either MANOVA or NPC, the latter having the advantage of being more powerful and allowing for directional effects. In PALM you'd run as this:

palm -i diff_t2-t1.nii -i diff_t3-t1.nii -d design.mat -t design.con -npc -n 5000 -approx tail -nouncorrected -o myresults -logp

It is also possible to do a 2x3 repeated measures ANOVA, assuming compound symmetry between all three timepoints. In that case, please see a design here: https://s3-us-west-2.amazonaws.com/andersonwinkler/mailinglist/design_yawu.ods
All timepoints would be used. PALM would be invoked as this:

palm -i all_timepoints.nii -d design.mat -t design.con -f design.fts -n 5000 -approx tail -nouncorrected -o myresults -logp

Hope this helps!

All the best,

Anderson


On 26 December 2017 at 03:34, Liu Y <[log in to unmask]> wrote:
Hi Anderson,
We are interested in the difference among the three time points in each group, and also the difference in DTI change between two groups.
Best regards,
Yawu


2017年12月26日 06:35,"Anderson M. Winkler" <[log in to unmask]>写道:
Hi Yawu,

Are you interested in differences between timepoints and whether these differ between groups, or are you interested on the average between timepoints and whether these differ between groups? Or are you interested in something else?

All the best,

Anderson


On 21 December 2017 at 03:21, Liu Y <[log in to unmask]> wrote:

Dear Experts,

We have 2 groups, three time-points: how to model all time-points within a single design given that not all subjects have second or third time-point measurements, and take into account baseline differences in DTI metrics.
Any suggestions are highly appreciated.

Best regards,
Yawu