i am using WSL Ubuntu 20.04 for resting-state fmri analysis.
when i type uber_subject.py command i get this output:
**** failed to import PyQt4.QtGui ****
PyQt4 must be installed to run the uber_subject.py GUI
→ see the output of: uber_subject.py -help_install
and when i type apt-get install python-qt4 i get:
osman@DESKTOP-A849Q2J:~$ apt-get install python-qt4
E: Could not open lock file /var/lib/dpkg/lock-frontend - open (13: Permission denied)
E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), are you root?
We don’'t recommend using uber_subject.py to set up an analysis—it is much better to to start from an existing code example from an afni_proc.py help example:
or a publication, such as one of the ones here:
or from one of the demos we have (e.g., @Install_MACAQUE_DEMO, @Install_MACAQUE_DEMO_REST, @Install_APMULTI_Demo1_rest, …), depending on the kinds of subjects and data you have.
uber_subject.py depends on PyQt4, which isn’t really distributed anymore, either. However, the main reason we haven’t recommended using uber_subject.py is that there are many more options in afni_proc.py than uber_subject.py had.
It is better to start with an existing example, and add to it with whatever considerations/specifications you have.
And you are more than welcome to ask about your example command here, too.
is there any tutorial or example of resting-state fmri analysis.
i did not find a useful thing over the internet
The AFNI Academy channel has a lot of processing information, which includes aspects important to resting state FMRI:
Here are Bootcamp videos about resting state FMRI from our MIT Bootcamp (videos 30 and 31):
… and AFNI Bootcamp handouts go with those:
(see the PDFs with ‘rest’ in their name; if you have installed the Bootcamp data, CD.tgz, then you have those in your afni_handouts/ directory already).
A very useful paper paper by Hang Joon Jo:
… which has informed a lot of the AFNI processing.
And the afni_proc.py examples for resting state have commentary/suggestions/descriptions with them:
There is still a lot of variety in the data people have and what outputs they might want, so there are many examples; seeing the ‘modern’ ones is useful.
This paper is about task FMRI data specifically, but many aspects apply for resting state, too:
FMRI processing with AFNI: Some comments and corrections on “Exploring the Impact of Analysis Software on Task fMRI Results”
And if you search for ‘rest’ on this page:
there are some specific notes/commentaries/tools mentioned, as well.