We present a method for detecting event-related responses in functiona
l magnetic resonance imaging (fMRI). The occurrence of time-locked act
ivations is formulated in terms of the general linear model, i.e., mul
tiple linear regression. This permits the use of established statistic
al techniques that correct for multiple comparisons in the context of
spatially smooth and serially correlated data. Responses are modelled
using event-related temporal basis functions. Inferences are then made
about all components of the model, using the F-ratio at all voxels in
the image, to produce a statistical parametric map (SPM\F\). This met
hod allows for the experimental design to relate the timing of events
to the acquisition of data to give a temporal resolution (with respect
to the event-related response) far better than the scanning repeat ti
me. (C) 1997 Wiley-Liss, Inc.