| Literature DB >> 33759762 |
Yang Hu1,2, Chen Hu3,4, Edmund Derrington2,5, Brice Corgnet6, Chen Qu1, Jean-Claude Dreher2,5.
Abstract
Corruption often involves bribery, when a briber suborns a power-holder to gain advantages usually at a cost of moral transgression. Despite its wide presence in human societies, the neurocomputational basis of bribery remains elusive. Here, using model-based fMRI, we investigated the neural substrates of how a power-holder decides to accept or reject a bribe. Power-holders considered two types of moral cost brought by taking bribes: the cost of conniving with a fraudulent briber, encoded in the anterior insula, and the harm brought to a third party, represented in the right temporoparietal junction. These moral costs were integrated into a value signal in the ventromedial prefrontal cortex. The dorsolateral prefrontal cortex was selectively engaged to guide anti-corrupt behaviors when a third party would be harmed. Multivariate and connectivity analyses further explored how these neural processes depend on individual differences. These findings advance our understanding of the neurocomputational mechanisms underlying corrupt behaviors.Entities:
Keywords: bribe-taking; corruption; human; model-based fMRI; moral cost; multivariate analyses; neuroscience
Year: 2021 PMID: 33759762 PMCID: PMC7990503 DOI: 10.7554/eLife.63922
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.140