Hi,
I have a basic question on Feat.
I am running a resting state analysis, where I extract the time series of an ROI mask and use that as an EV to find other regions of the brain that correlate with the ROI.
My design matrix is simple: 1
When I look at the outputs of Feat, say the zstat image, on fslview I see that the value in that ROI voxel is a negative number say -0.07, whereas the other regions have values of range -4 to 6. I was expecting the value of my EV to be the highest.
I am not sure how the values are calculated.
Is the seed value to be expected to be around 0 and then other brain regions that have correlation will get assigned a number based on the correlation strength?
Thanks
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