AFNI version info (
Precompiled binary linux_rocky_8: Oct 12 2023 (Version AFNI_23.3.01 'Septimius Severus')
Hi. I have some good news. Sara Inati, the rest of the team, and I successfully completed our first EEG-FMRI epilepsy nap study. I will soon use AFNI's basis functions to perform an event-related analysis of interictal epileptiform discharges. I have some questions about the extremely helpful basis functions hands-on exercise.
on page p. 18, a
-basis_normall 1 \
option is included in the 3dDeconvolve command. However, when I ran the afni_proc.py command in
the option was not included in 3dDeconvolve in my proc.ED.8.glt script. If I want the beta coefficients to represent the percent signal change, should I add
-regress_basis_normall 1 \
to my afni_proc.py command, and what does the following in the help for afni_proc.py mean? "For the example basis functions, -basis_normall is not recommended."