Table I.

Summary of data models

Model	Stimulus effects	Nuisance effects
DC	Finite impulse response	Constant term
FOURIER	Finite impulse response	Constant term, sine and cosine functions with 1, 2, and 3 cycles
POLY	Finite impulse response	Polynomials of degrees 0 through 4
FILTER	Finite impulse response	Constant term, after removing a linear trend and high‐pass filtering at 1/60 Hz
SEPNL	Time‐event separable, iterative fitting method	Polynomials of degrees 0 through 4
SEPSVD	Time‐event separable, singular value decomposition fitting method	Polynomials of degrees 0 through 4

This table lists how each model characterizes stimulus effects (i.e. hemodynamic responses to stimulus events) and how each model compensates for nuisance effects (i.e. the baseline signal level).