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The mean IRF (also referred to as the mean estimated time course, below) plots show the average (across subjects) estimated BOLD response from the onset of the stimulus (time = 0) to 18-s poststimulus onset.
In the absence of nonlinear neuronal activities, the nonlinear vascular response renders the estimated BOLD responses smaller in rapid presentation (RP) ER paradigms compared to that in ER paradigms, and this reduction effect also needs to be considered when interpreting the estimated BOLD responses in RP-ER paradigms.
The results obtained from these analyses were the estimated BOLD contrasts for each of the 24 participants (contrast images).
The estimated BOLD maps, contrasting word epochs (drug or neutral) against baseline epochs, were included in a two-way (word type × group) repeated measures analysis of variance (ANOVA) model in SPM2.
After motion correction, the estimated BOLD effect was modeled by two Poisson functions with hemodynamic delays of 4 and 8 seconds.
The IRF reflects the estimated BOLD response to a type of stimulus (e.g., the reward cue) after controlling for variations in the BOLD signal due to other regressors.
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A linear model was used to estimate BOLD (blood oxygen level dependent) signal amplitudes during face presentations for each subject.
Risk estimated in bold indicates a significant reduction in risk from the previous estimate after adjustment for material hardship (point adjusted estimate lies outside 95% CI for previous estimate).
SBP = systolic blood pressure; DBP = diastolic blood pressure; SD = standard deviation; high temp = high temperatures; low temp = low temperatures; F = Fahrenheit Parameter estimates in bold indicate values that are significant at α = 0.05.
Results reported in column (1) to (7) are all obtained using the standard OLS estimator Bold figures are coefficients' estimates.
Results reported in column (2) are obtained with a Poisson Pseudo Maximum Likelihood estimator Bold figures are coefficients' estimates.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com