Dear experts,
Recently I've been working on a dataset (2 groups, one measurement), which I wanted to denoise using AROMA. In the manual I noticed AROMA preferred preprocessing using FEAT, so I did this, including full preprocessing (mc, registration etc). AROMA worked well and denoised my data. However, when I tried to run melodic's (temporal concatenated) ICA on the data I got this error:
child killed: SIGABRT
while executing
"if { [ catch {
for { set argindex 1 } { $argindex < $argc } { incr argindex 1 } {
switch -- [ lindex $argv $argindex ] {
-I {
incr arginde..."
(file "/usr/local/LKeb/FSL/5.0.8/bin/feat" line 310)
Error encountered while running in main feat script, halting.
child killed: SIGABRT
This appeared to be caused by the resampling tot 2mm (as a repeat resampling to 4mm didnt show this error). The dual regression in turn did not run giving an "ERROR: GLM design does not match input image in size".
It appeared to me that the registration calculated in the FEAT preprocessing hadn't been applied to the images as I switched from FEAT to melodic.
Am i correct in assuming this? I would think that using FLIRTs -applyxfm using FEAT's registration matrix example_func2standard.mat would solve this, correct? Alternatively I could run melodic on the denoised data and do MC and registration and resampling to 2mm using melodic. I am not sure which would be the correct approach.
Thanks for taking the time to help!
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