Hi all,
I conducted an analysis of a breathhold task with 3dDeconvolve. Over the course of examining the results of this analysis, some questions have come up for me regarding whether the model is a good fit for the data. I was wondering if there is a way to assess model fit at a level higher than whether the subjects showed activation in association with the breathhold, or by checking the model against the data at various voxels, as described in this link: [
afni.nimh.nih.gov]
For example, FSL produces two timeseries plots: (1) the regressor against the data for the peak activation voxel, and (2) the regressor against the data across all significant voxels. Is there a similar way of doing this in AFNI, or some other means at a more of a whole brain level?
Thanks,
Alain
