Hi all, sorry for the double post, but I noticed an error in the chosen title.
I believe the website warns for high demands of memory, claiming it may take up to 10G for this processing step. However, when I run this on cluster the memory demands go up to 30G. This is still for one subject using one scan. Is this to be expected, has something changed in the processing pipeline? Eventually I want to run the longitudinal version, should I expect an increase in memory demands? Running the parahippocampal subfields on our cluster using: recon-all -s $subject -hippocampal-subfields-T1 Version: INFO: FreeSurfer build stamps do not match Subject Stamp: freesurfer-Linux-centos6_x86_64-stable-v6-beta-20161028- 4cfbf2a Current Stamp: freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96c Kind regards, Ferdi
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