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The analyses with and without slice timing should both use the same amount of memory. Sometimes it is useful to quit matlab and start it over again before running a large analysis. This may sometimes free up some of memory, particularly if certain routines have crashed out inelegantly. Otherwise, make sure that no other memory hogging applications had started on the computer at the same time as you were trying to run your analysis. Bets regards, -John | I performed an event related fMRI experiment | and analysed it with and without slice timing. | The analysis without slice timing worked out | well. After slice timing I run into an out of | memory error, when I estimate the model. The | only differences between the two analysis is | that I added the slice timing step to the | preprocessing. | | The image parameters are the following: | | 315 image volumes, 31 slices | | initial matrix size 64x64. | | The error occurs after 87 % completions of the | model estimation. | | The used hardware: | * Intel Pentium II Celeron 400 MHz | * 578 MB RAM | * 55 GB IBM Hard disk | * 10 GB Swap Space (I raised swap space as | recommended in your help line, but it does not | work) | | SPM version: SPM99 | | | Does anybody have an idea how to solve this | problem?