The first step in first-level analysis is the creation of an "analysis". The analysis is a collection of information about how you want to analyze the functional data. This includes the specification of the input data, event types, event schedules, hemodynamic model, nuisance regressors, etc. For FSL users, this is more-or-less the equivalent to running the Feat GUI. In FS-FAST, the work-flow is a little different that that associated with SPM or FSL. In those packages, you would specify all the analysis parameters *every* time you analyzed a data set. In FS-FAST, you do so once regardless of how many data sets you have. This way you assure that all your data is analyzed with the same parameters. This also requires that you set up your data correctly in the first place. To do this, create a Study Directory (Study_Dir) that is independent of any of your sessions (though your session may be subdirs of your Study_Dir). Creating the analysis is one of the most important steps, but it is also one of the most complicated. It is done with the "mkanalysis-sess" command. You can run it with -help to see documentation above and beyond what is written here. mkanalyis-sess has a lot of options. Rather than discussing each in the abstract, I'll give an example command-line first:

["mkanalysis-sess"] \