Hi Robin,

Actually, scaling does have a small effect on the statistical maps. The reason is that scaling is done per run. That should not be a big effect, but it will make the difference more than just truncation size (assuming there is more than just one run). And yes, it would indeed affect ROI averages.

For resting state analysis, with a single voxel as the seed, there would still be that small effect. And many seeds are from radial or ROI averages. While those should not be very important, there would be SOME effect, and therefore there would be some at the group level.

For this type of analysis, scaling is not considered important. Do it or don't. Our resting state examples currently have scaling included, but just because there are some fringe benefits, depending on what other computations are desired. If all you are running is a correlation analysis, either way should be fine.

- rick