There are a many reasons why 3dDeconvolve might fail:

• There are a many reasons why 3dDeconvolve might fail:

• • duplicate regressors
  • missing (incorrectly named) or incorrectly formatted stimulus timing files
  • incorrect usage of extra options, such as -gltsym
  • • some options are were given “as is” to 3dDeconvolve by afni_proc.py
    • • via -regress_opts_3dD
  • insufficient memory to process the data
  • • if ( $status != 0 ) then
    • • echo '---------------------------------------'
      • echo '** 3dDeconvolve error, failing...'
      • echo ' (consider the file 3dDeconvolve.err)'
      • exit
    • endif
  • If 3dDeconvolve fails, it sets the $status shell variable to 1. That will allow the script to detect the failure and terminate early, so the user can see the errors.
  • • 3dDeconvolve stores any errors in 3dDeconvolve.err, for later review.
  • Some errors require user acknowledgment by using the “-GOFORIT NN” option.