AFNI Message Board

Dear AFNI users-

We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:

https://discuss.afni.nimh.nih.gov

Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.

The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.

Sincerely, AFNI HQ

History of AFNI updates  

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March 17, 2005 04:03PM
> Except for fixation, there was only one on period for each
> task. Given that, can we use a 3dANOVA3 -type 5 to
> analyze the data or must we use a 3dANOVA2 -type 1?

Only one period for each task would not have any effect on group analysis because you would carry over one regression coefficient per task to group analysis level anyway. What it really matters is for deconvolution/regression at individual subject analysis level. If you can manage to run 3dDeconvolve, there should have no problem analyzing at group level with 3-way ANOVA. There is one limitation with 3dANOVA3 though: it currently does not allow 2nd-order contracts. So if you might have to consider using the following Matlab package if you are interested any 2nd-order contrasts:

[afni.nimh.nih.gov]

> Given that state induction is so long, is it possible for
> baseline to be longer or shorter than the other time
> periods in the deconvolve?

I am not so sure what your question is here. Is your "baseline" a real task instead of "fixation"?

> We are also interested in comparing the early and late
> time points of state induction. To do that, is it more
> appropriate to censor out the middle time points in state
> induction or to divide them up into smaller "chunks" even
> though they are not independent tasks?

Censoring would create some discontinuties along time axis which can lead to other problems. You might consider the approach recommended in the following thread by modeling IRF of each block if you have enough time points:

[afni.nimh.nih.gov]

Gang
Subject Author Posted

stats for longer scans

Mariko March 17, 2005 12:09PM

Re: stats for longer scans

Gang Chen March 17, 2005 04:03PM

Re: stats for longer scans

Mariko March 18, 2005 09:18AM

Re: stats for longer scans

Gang Chen March 18, 2005 11:53AM

Re: stats for longer scans

Mariko March 19, 2005 01:32PM

Re: stats for longer scans

Gang Chen March 21, 2005 05:01PM

Re: stats for longer scans

Mariko March 24, 2005 09:37AM