Expecting social punishment facilitates control over a decision under uncertainty by recruiting medial prefrontal cortex. Issue 11 (10th November 2020)

• Record Type: Journal Article
• Authors: Kim, Jaejoong; Jeong, Bumseok
• Is Part Of: Social cognitive and affective neuroscience. Volume 15:Issue 11(2020)
• Page Start: 1260
• Page End: 1270
• Publication Date: 2020-11-10
• Subjects: social punishment -- uncertainty -- decision-making -- computational modelling -- dynamic causal modelling; Neurosciences -- Periodicals; Cognitive neuroscience -- Periodicals; Neuropsychology -- Periodicals; 612.8205
• DOI: 10.1093/scan/nsaa145
• Languages: English
• ISSNs: 1749-5016

Abstract

Abstract: In many decision-making situations, sub-optimal choices are increased by uncertainty. However, when wrong choices could lead to social punishment, such as blame, people might try to improve their performance by minimizing sub-optimal choices, which could be achieved by increasing the subjective cost of errors, thereby globally reducing decision noise or reducing an uncertainty-induced component of decision noise. In this functional magnetic resonance imaging (fMRI) study, 46 participants performed a choice task in which the probability of a correct choice with a given cue and the conditional probability of blame feedback (by making an incorrect choice) changed continuously. By comparing computational models of behaviour, we found that participants optimized their performance by preferentially reducing a component of decision noise associated with uncertainty. Simultaneously, expecting blame significantly deteriorated participants' mood. Model-based fMRI analyses and dynamic causal modelling indicate that the optimization mechanism based on the expectation of being blamed would be controlled by a neural circuit centred on the right medial prefrontal cortex. These results show novel behavioural and neural mechanisms regarding how humans optimize uncertain decisions under the expectation of being blamed.