Hello,
I am working through the AFNI tutorials for pre-processing and I have a question regarding the "auto block: outcount" procedure. It indicates that "at each voxel, the data is detrended using the default polynominal degree based on the duration of the first run. For that voxel time series, any value that is too far from the trend is considered an outlier."
Does this mean that (1) the data takes into account scanner drift by using the default polynominal degree and then (2) outliers are removed based on whether they are too far from the trend? If so, what does "trend" refer to? Does it refer to the mean raw signal or the trend that was computed to de-trend the data?
Thank you for your help.
Best,
Tamara
