Contributed by alexander.genauck@charite.de on Nov. 20, 2017
Description: The preprocessed fMRI single-subject data was modeled using a boxcar function denoting times of gamble presentation (task-on regressor) and three linearly scaled task-on regressors (gain and loss parallel to behavioral analysis plus Euclidean distance based on aggregated gamble matrix). Note that this is model is completely in parallel with the behavioral model – only the dependent variable differs. In the behavioral model it is choice, in the neural model it is BOLD activity. The regressors were convolved with the canonical hemodynamic response function, downsampled to match the number of EPI scans and entered into a GLM. For further details on the single-subject model, please see Supplementary Methods. This is T-map for the main effect group on neural sensitivity to loss.
Tags: decision making loss aversion gain anticipation mixed gambles pathological gambling gain sensitivity healthy controls alcohol dependent
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