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Statistics
from 3dDeconvolve
¥ An F-statistic measures significance of how much a model
component reduced the variance of the time
series data
¥ Full F measures how much the signal regressors reduced the
variance over just the baseline regressors (sub-brick #0 below)
¥ Individual partial-model Fs measures how much
each individual signal regressor reduced data
variance over the full model with that regressor excluded (sub-bricks
#19, #22, #25, and #28 below)
¥ The Coef sub-bricks are
the b weights (e.g., #17, #20, #23, #26)
¥ A t-statistic sub-brick measure impact of one coefficient
