> My plan is to regress out the task, and then calculate temporal correlations in the
> residual using 3dDeconvolve.

The regressing out step is not ideal, and can only remove the assumed response that is typically averaged across many trials. In other words, it won't touch the following: 1) the varying response across trials from the averaged curve; 2) the response that is different from the presumed curve.

> However, this data was acquired over 6 runs lasting 7 min each. If I concatenate the
> runs and describe the data as such in 3dDeconvolve through -concat, will the program
> take this into account during the correlation computation? Or should I calculate the R
> values within each run (and then average across runs)?

The concatenation seems fine since no cross-time computations other than summation are involved.

Gang



Edited 1 time(s). Last edit at 04/09/2013 05:41PM by Gang.