Modeling decision-making under uncertainty: a direct comparison study between human and mouse gambling data

Cabeza Alvarez, L.; Giustiniani, J.; Chabin, T.; Ramadan, B.; Joucla, C.; Nicolier, M.; Pazart, L.; Haffen, E.; Fellmann, D.; Gabriel, D.; Peterschmitt, Y.

doi:10.1101/570499

bioRxiv · 10.1101/570499

Modeling decision-making under uncertainty: a direct comparison study between human and mouse gambling data

Cabeza Alvarez, L.·Giustiniani, J.·Chabin, T.·Ramadan, B.·Joucla, C.·Nicolier, M.·Pazart, L.·Haffen, E.·Fellmann, D.·Gabriel, D.·Peterschmitt, Y.

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Abstract

Decision-making is a conserved evolutionary process enabling to choose one option among several alternatives, and relying on reward and cognitive control systems. The Iowa Gambling Task allows to assess human decision-making under uncertainty by presenting four cards decks with various cost-benefit probabilities. Participants seek to maximize their monetary gains by developing long-term optimal choice strategies. Animal versions have been adapted with nutritional rewards but interspecies data comparisons are still scarce. Our study directly compared physiological decision-making performances between humans and wild-type C57BL/6 mice. Human subjects fulfilled an electronic Iowa Gambling Task version while mice performed a maze-based adaptation with four arms baited in a probabilistic way. Our data show closely matching performances among species with similar patterns of choice behaviors. Moreover, both populations clustered into good, intermediate, and poor decision-making categories with similar proportions. Remarkably, mice good decision-makers behaved as humans of the same category, but slight differences among species have been evidenced for the other two subpopulations. Overall, our direct comparative study confirms the good face validity of the rodent gambling task. Extended behavioral characterization and pathological animal models should help strengthen its construct validity and disentangle determinants of decision-making in animals and humans.

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Cabeza Alvarez, L., Giustiniani, J., Chabin, T., Ramadan, B., Joucla, C., Nicolier, M., Pazart, L., Haffen, E., Fellmann, D., Gabriel, D., Peterschmitt, Y.. 2019-03-09. Modeling decision-making under uncertainty: a direct comparison study between human and mouse gambling data. https://doi.org/10.1101/570499

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