Dear FSL group,
When I am performing a first-level stats + post-stats analysis and load a functional data, the FEAT automatically determines the high pass filter cutoff from the default 100s to 60s for me.
I am wondering,
(1) through what mechanism/algorithm, does FEAT determine the high pass filter cutoff value?
(2) because I am doing my analyses using script and oftentimes this high pass filter cutoff value is pre-determined, how can I calculate the most appropriate high pass filter cutoff value for each individual functional data like what FEAT does?
Best,
Daniel