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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Philipp
July 07, 2022 05:43AM
Hi Rick,

the Pearson correlation is computed in Python using the two extracted AFNI data lists that stem from the two computed variables.
This means that two giant lists of voxels are correlated against each other, yielding one correlation result.

You are right insofar as one could also correlate the data already in AFNI using 3dTcorrelate. The number of voxels (numeric values) per file would nonetheless remain the same.

I think that using a for loop, as suggested by Paul, (probably already in the shell script for AFNI) to extract the values per subject (instead of extracting the values from all subjects into one file) is a good solution.

Anyway, my problem is solved!

Philipp



Edited 1 time(s). Last edit at 07/07/2022 05:44AM by Philipp.
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**Error: Line too long for buffer of 5048576 chars.** (3dmaskdump)

Philipp July 05, 2022 06:32AM

Re: **Error: Line too long for buffer of 5048576 chars.** (3dmaskdump)

ptaylor July 05, 2022 01:20PM

Re: **Error: Line too long for buffer of 5048576 chars.** (3dmaskdump)

Philipp July 06, 2022 03:47AM

Re: **Error: Line too long for buffer of 5048576 chars.** (3dmaskdump)

rick reynolds July 07, 2022 12:07AM

Re: **Error: Line too long for buffer of 5048576 chars.** (3dmaskdump)

Philipp July 07, 2022 05:43AM