Figure 9.

Processing times for first level analysis of 13 fMRI datasets (of size 64 × 64 × 33 × 160). The analysis includes non-linear normalization to a brain template, slice timing correction, motion correction, smoothing, and statistical analysis. A Matlab script, available on the SPM homepage, was used for SPM. For FSL, the analysis was setup and started through the graphical user interface. For AFNI, the analysis was performed with afni_proc.py, through the graphical user interface uber_subject.py. It should be noted that SPM, FSL and BROCCOLI use linear and non-linear registration, while AFNI uses linear registration only (currently, it is not possible to select non-linear registration in uber_subject.py). To compensate for this, the non-linear registration for AFNI was done separately. Note that it is not possible to select a 2 mm³ brain template in uber_subject.py, these processing times are therefore not defined. Also note that the processing times for BROCCOLI do not include any first level permutation test.