Breakdown of utilitarian moral judgement after basolateral amygdala damage

Publication date

2022-08-02

Authors

van Honk, JackISNI 0000000042813326
Terburg, DavidISNI 0000000393680801
Montoya, Estrella RISNI 0000000419519902
Grafman, Jordan
Stein, Dan J
Morgan, Barak

Editors

Advisors

Supervisors

Document Type

Article
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License

cc_by_nc_nd

Abstract

Most of us would regard killing another person as morally wrong, but when the death of one saves multiple others, it can be morally permitted. According to a prominent computational dual-systems framework, in these life-and-death dilemmas, deontological (nonsacrificial) moral judgments stem from a model-free algorithm that emphasizes the intrinsic value of the sacrificial action, while utilitarian (sacrificial) moral judgments are derived from a model-based algorithm that emphasizes the outcome of the sacrificial action. Rodent decision-making research suggests that the model-based algorithm depends on the basolateral amygdala (BLA), but these findings have not yet been translated to human moral decision-making. Here, in five humans with selective, bilateral BLA damage, we show a breakdown of utilitarian sacrificial moral judgments, pointing at deficient model-based moral decision-making. Across an established set of moral dilemmas, healthy controls frequently sacrifice one person to save numerous others, but BLA-damaged humans withhold such sacrificial judgments even at the cost of thousands of lives. Our translational research confirms a neurocomputational hypothesis drawn from rodent decision-making research by indicating that the model-based algorithm which underlies outcome-based, utilitarian moral judgements in humans critically depends on the BLA.

Keywords

Basolateral Nuclear Complex, Decision Making, Humans, Judgment, Morals, SDG 3 - Good Health and Well-being

Citation

van Honk, J, Terburg, D, Montoya, E R, Grafman, J, Stein, D J & Morgan, B 2022, 'Breakdown of utilitarian moral judgement after basolateral amygdala damage', Proceedings of the National Academy of Sciences of the United States of America, vol. 119, no. 31, e2119072119. https://doi.org/10.1073/pnas.2119072119