History of AFNI updates  

|
February 29, 2008 03:38PM
Hi Akiko,

Use 3dTstat and 3dcalc per run (at least, that's what we do).
We take VALUE/mean*100*MASK, and limit that to 200 (just to
preserve the resolution of short datasets, in case out of
brain %-changes are in the thousands, which is common).

Follow the example in that s3.proc.sb23 script that I mentioned,
the "scale" processing block. Details are included in that
afni16_soup_to_nuts handout that I referenced, also. Search the
script for 3dTstat, or the second 3dcalc command.

That is a very good example of how to do single subject
processing.

[afni.nimh.nih.gov]
[afni.nimh.nih.gov]

- rick

Subject Author Posted

3dDeconvolve beta weights

Akiko Ikkai February 14, 2008 06:28PM

Re: 3dDeconvolve beta weights

rick reynolds February 14, 2008 09:15PM

Re: 3dDeconvolve beta weights

Akiko Ikkai February 18, 2008 04:48PM

Re: 3dDeconvolve beta weights

rick reynolds February 18, 2008 05:51PM

Re: 3dDeconvolve beta weights

Akiko Ikkai February 29, 2008 03:25PM

Re: 3dDeconvolve beta weights

rick reynolds February 29, 2008 03:38PM