Hi Lauren,

My first suggestion is to use afni_proc.py to analyze the
single subject data (or uber_subject.py, which is a GUI to
help start with afni_proc.py). Even if you do not end up
using it, you can at least compare both the steps in the
script and the results to see what is done.

You run to3d first, then feed the data to afni_proc.py.
It is well worth the time. You are doing many of the same
steps, but the way they are done in afni_proc.py might be
instructive.

Note that task data would be processed separately (and a
bit differently) from resting state data. See example #6
for task data and example #9 for resting state data.

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If you upload the data for Daniel, that will be helpful.

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Since there is just one condition that is causing problem,
what is the average value that goes into the regressor?
The magnitude of the beta is inversely proportional to the
magnitude of the regressor (e.g. if you divide the regressor
values by 10, the resulting beta will be 10 times as large).

If the regressor values are small, the betas will be big.

- rick