I am attempting to use AFNI’s 3Ddeconvolve function to estimate beta weights per voxel per trial for some sparse-sampling fMRI data collected by the speech-motor neuroscience lab I work in. Eventually we would like to perform this step in the context of a Nipype workflow, but I’ve just been playing around with the function in the command line with a single subject and for one condition first.
I’m providing 5 functional nifti files as input, each corresponding to one ‘run’ of 64 trials. Listen.1D is 5-by-24 set of times at which the stimulus occurred for the listen condition, local to each run.
There is an initial scan at the beginning of each run that I am trying to use CENSORTR to censor out as there would not have been any stimulus at that point.
Attached are the error I’m getting and the command I’m running, and I’m wondering if someone could help me determine why I’m receiving these matrix issues and perhaps help me to fix them.