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:

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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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December 18, 2020 10:36AM
Thanks very much for your reply.

-------------------------------------------------------
> Xiaowei,
>
> > I used the z-value of the Pearson correlation as
> the weight info to check the ICC of correlation
> maps.
>
> Are you using both correlation coefficients and
> their Z-values as input for 3dICC with the latter
> under the option -tStat?
>
Yes.
-------------------------------------------------------

> > Do you think this weighting is meaningful? Or
> should I put the inverse of z-value as the weight
> parameter (I am a
> > little confused on MME method mentioned in your
> paper and the example usage on 3dICC)?
>
> Hmm... in this case I tend to think that the
> weighting is difficult to justify. If I understand
> your situation accurately, the Fisher Z-values are
> simply a transformed version of your original
> correlation coefficients. Then, you seem to be
> double-dipping the data: using the same data to
> reenforce the original information.

I am not sure about the double-dipping, since I am not sure if the input weight should be the sample variance estimation or its inverse.

In your paper of the MME, the input weight is assumed to replace the unknown sample error's variance \sigma_e, which is same across all subjects and all sessions in LME (no subscript i or j, but same subscript e across all subjects (i) and all sessions (j) ).
When I put the Z-values (a non-linear transformation of Pearson correlation, not as simple as a linear mapping) as the weight into MME, with a bigger correlation value, the sample error's variance \sigma_ij is "made" bigger since its z-score is usually higher. This bigger error variance \sigma_ij should hurt the bigger correlation value in the ICC calculation, since the error variance should be as small as 0 in the ideal case. Is my understanding right?
If I am right, then this may not reinforce the original information.

Or I may understand wrongly, the weight input should be the precision or the inverse of the \sigma_ij, and I should input the inverse of Z-values. In this case, there will be enhancement instead of ICC undermining, then this seems not appropriate.
Sorry for many questions, I am just very curious about MME and have many confusions while not put my time into reading the code to align with your paper.



Edited 2 time(s). Last edit at 12/18/2020 10:38AM by Xiaowei Song.
Subject Author Posted

A possible small error/bug related to 3dICC's calculation of MME

Xiaowei Song December 16, 2020 11:34AM

Re: A possible small error/bug related to 3dICC's calculation of MME

gang December 17, 2020 08:31AM

Re: A possible small error/bug related to 3dICC's calculation of MME

Xiaowei Song December 17, 2020 10:57AM

Re: A possible small error/bug related to 3dICC's calculation of MME

gang December 18, 2020 08:17AM

Re: A possible small error/bug related to 3dICC's calculation of MME

Xiaowei Song December 18, 2020 10:36AM

Re: A possible small error/bug related to 3dICC's calculation of MME

gang December 20, 2020 07:48PM

Re: A possible small error/bug related to 3dICC's calculation of MME

Xiaowei Song December 21, 2020 09:50PM

Re: A possible small error/bug related to 3dICC's calculation of MME

gang December 23, 2020 12:40PM

Re: A possible small error/bug related to 3dICC's calculation of MME

Xiaowei Song December 29, 2020 03:43PM