AFNI experts,
I am starting my first granger causality analysis using Gang Chen's 1dGC in R and am wondering the best way to extract the time series. i have 64 245TR length scans, and am currently using 3dmaskave and looping through all 450 subbriks per subject to generate the time series.
set TR = 0
while (${TR} <245
set roi1 = `3dmaskave -quiet \
-mask ${Mask}'['${maskbrik}']' -mrange 1 1 \
${input}+tlrc'['${TR}']'`
set roi2 = `3dmaskave -quiet \
-mask ${Mask}'['${maskbrik}']' -mrange 2 2 \
${input}+tlrc'['${TR}']'`
echo ${roi1} ${roi2} >> roifile.1D
end
Just wondering if there's a more efficient way to do this?
Thanks for help,
Dharol
