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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February 19, 2015 10:29AM
> Given that I am worried about differences BETWEEN conditions, is there a better way to control for RT?

Do you mean that the average RT across trials is different among the conditions? Do you want to compare the conditions while controlling RT at some common value? If so, read the following part from the 3dDeconvolve -help:

*** [12 Jul 2012] You can now specify the value to subtract from
each modulation parameter -- this value will replace the
subtraction of the average parameter value that usually happens.
To do this, add an extra parameter after the option, as in
-stim_times_AM2 1 timesAM.1D 'BLOCK(2,1)' :5.2:x:2.0
The extra argument must start with the colon ':' character, and
there should be as many different values (separated by ':') as
there are parameters in the timing file (timesAM.1D above).
==> In the example above, ':5.2:x:2.0' means
subtract 5.2 from each value of the first parameter in timesAM.1D
subtract the MEAN from each value of the second parameter
(since 'x' doesn't translate to a number)
subtract 2.0 from each value of the third parameter
==> What is this option for, anyway? The purpose is to facilitate
GROUP analysis the results from a collection of subjects, where
you want to treat each subject's analysis exactly the same
way -- and thus, the subtraction value for a parameter (e.g.,
reaction time) should then be the mean over all the reaction
times from all trials in all subjects.

Gang
Subject Author Posted

Regressing out reaction time

kallai February 18, 2015 05:14PM

Re: Regressing out reaction time

gang February 18, 2015 05:37PM

Re: Regressing out reaction time

kallai February 19, 2015 03:52AM

Re: Regressing out reaction time

gang February 19, 2015 10:29AM

Re: Regressing out reaction time

kallai February 23, 2015 08:57AM

Re: Regressing out reaction time

gang February 23, 2015 02:55PM

Re: Regressing out reaction time

kallai February 23, 2015 03:28PM

Re: Regressing out reaction time

gang February 23, 2015 03:51PM