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Dear all, If I select a windowed fourier set to model event-related responses (as opposed to a non-windowed). Will my f statistic be higher where the response within the time series resembles a canonical HRF (i.e. clear departure and return to baseline). When therefore would it be preferable to use a non-windowed set? Perhaps for 'better capturing responses already in mid air' say where stimulus onset preceded scanning. Is this the case? Also, whereas my event-related responses modelled using a windowed set and plotted in spm, have tapered error bars and finish at zero they don't necessarily start at zero (0.25 for instance). What exactly does the 'hanning filtering' do then? Much Appreciated, Afraim Haddadi Research Fellow Institute of Neurology London %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%