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

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gang
May 15, 2015 03:46PM
James,

1) If the number of time points per condition are not many, it probably does make sense to use the pre-detrended data. I can imagine that, if you have a few time points, detrending within 1dSVAR would be problematic because it may remove some BOLD signal.

2) > I get very different results for the LR overidentification test for different subjects. How should I interpret these--i.e.,
> is high x-squared bad and if so how bad is "too bad"? is there some cutoff I should have in mind?

The LR test compares two models, one is the restricted model (e.g., constrained by the instantaneous effect structure) and the other is unrestricted (no instantaneous effects). So the chi-square test is similar to the omnibus F-test in an ANOVA, indicating the significance of the instantaneous structure.

Gang



Edited 1 time(s). Last edit at 05/15/2015 04:16PM by Gang.
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Subject Author Posted

1dSVAR questions: trend removal and overidentification

jkeidel May 15, 2015 09:39AM

Re: 1dSVAR questions: trend removal and overidentification

gang May 15, 2015 03:46PM