¥ Most common forms of FMRI analysis involve fitting an activation+BOLD
model to each voxelÕs time series separately (AKA ÒunivariateÓ analysis)
H Some pre-processing steps may do
inter-voxel computations
o e.g.,
spatial smoothing to reduce noise
¥ Result of model fits is a set of parameters at each voxel, estimated from that
voxelÕs data
H e.g., activation amplitude, delay,
shape
H ÒSPMÓ = statistical parametric
map
¥ Further analysis steps operate on individual SPMs
H e.g., combining/contrasting data among
subjects