¥ 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