History of AFNI updates  

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January 13, 2011 12:03PM
Hi Jana,

You have 2 long runs with a 5th degree polynomial baseline.
So that is 12 (=6x2) parameters. There are 6 for motion,
and 7 regressors of interest (3x2 for the AM ones, plus 1
for onsettimes). So that is 25 total regressors, 18 of
which are baseline.

Note that the 1d_tool.py warning with the -1.0 correlation
is expected because you only have 2 runs, so that is fine.

This all looks good to me.

- rick

Subject Author Posted

parametric modulation

Jana January 05, 2011 01:57PM

Re: parametric modulation

Gang Chen January 06, 2011 09:49AM

Re: parametric modulation

Jana January 07, 2011 11:16AM

Re: parametric modulation

Gang Chen January 07, 2011 03:32PM

Re: parametric modulation

Jana January 08, 2011 11:45AM

Re: parametric modulation

Jana January 12, 2011 11:49AM

Re: parametric modulation

Gang Chen January 12, 2011 02:07PM

Re: parametric modulation

Jana January 12, 2011 02:42PM

Re: parametric modulation

rick reynolds January 12, 2011 03:17PM

Re: parametric modulation

Jana January 12, 2011 11:18PM

Re: parametric modulation

James January 13, 2011 06:16AM

Re: parametric modulation

Jana January 13, 2011 07:04AM

Re: parametric modulation

James January 13, 2011 07:46AM

Re: parametric modulation

Jana January 13, 2011 08:19AM

Re: parametric modulation

rick reynolds January 13, 2011 08:28AM

Re: parametric modulation

Jana January 13, 2011 10:09AM

Re: parametric modulation

rick reynolds January 13, 2011 12:03PM

Re: parametric modulation

Jana January 13, 2011 12:22PM

Re: parametric modulation

Jana January 14, 2011 06:56AM

Re: parametric modulation

rick reynolds January 14, 2011 08:33AM

Re: parametric modulation

Jana January 14, 2011 09:57AM