Hi Philipp,

There are a few things to note here.

1. You seem to be on a mac, which rarely kills a program that is allocating "too much" memory. Rather, it adds virtual swap space and just takes. for. ever. (give or take 3 weeks).

2. There are 2360 time points across those 3 runs? That is quite a few time points. What polort is 3dDeconvolve using?

3. Worse, there are 1482 baseline regressors. That is scary.

Oooooooohhhh! You are using large-scale bandpassing in a normal linear regression model. That is why there are so many baseline regressors, and part of why it is taking so long.

Since this is a task analysis, try it without "-regress_bandpass 0.01 0.2". With so many time points, I am not positive whether it will work on that laptop, but removing almost 1500 regressors will help reduce the memory requirement (and we tend to prefer not bandpassing anyway).

Also, add -regress_compute_fitts to the command.
Instead of having 3dDeconvolve compute that, it will be done with 3dcalc (after the regression is done). That will save quite a bit of memory for 3dDeconvolve.

Also, since you are running out of memory, consider closing any MS Office applications, or anything else that might use a lot of RAM.

Hopefully some of that will help.

- rick