You can break them up into chunks (even down to one run), name each chunk as a different session. Analyze each separately, then run isxconcat-sess on them to map them into a common space (mni305/tal or surface), then run fixed effects analysis using mri_glmfit.

doug

Srihasam, Krishna wrote:

Hi,

I have over 100 functional scans which I got from same subject over 6 different sessions. I am trying to average them and I am getting a "OUT OF MEMORY" error in "selxavg-sess" command. Is there a workaround for this problem? BTW, my machine has around 29GB of RAM.

Regards, Krishna

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