¥ 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
² 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