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Description: Data presented here include behavior, computational model fits and preprocessed/sorted spiking activity from human single neurons. Adaptive behavior in real-world environments requires that choices integrate over several variables, including the novelty of the options under consideration, their expected value, and uncertainty in value estimation. Here, in order to probe how integration over decision variables occurs during decision-making, we recorded neurons from the human pre-supplementary motor area (preSMA), ventromedial prefrontal cortex (vmPFC) and dorsal anterior cingulate. In contrast to the other areas, preSMA neurons not only represented separate pre-decision variables for each choice option, but also encoded an integrated utility signal for each choice option and, subsequently, the decision itself. Post-decision encoding of variables for the chosen option was more widely distributed and especially prominent in vmPFC. Our findings position the human preSMA as central to the implementation of value-based decisions.