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Predicting Risk-Taking Behavior from Prefrontal Resting-State Activity and Personality

Studer, B; Pedroni, A; Rieskamp, J; (2013) Predicting Risk-Taking Behavior from Prefrontal Resting-State Activity and Personality. PLoS One , 8 (10) , Article e76861. 10.1371/journal.pone.0076861. Green open access

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Abstract

Risk-taking is subject to considerable individual differences. In the current study, we tested whether resting-state activity in the prefrontal cortex and trait sensitivity to reward and punishment can help predict risk-taking behavior. Prefrontal activity at rest was assessed in seventy healthy volunteers using electroencephalography, and compared to their choice behavior on an economic risk-taking task. The Behavioral Inhibition System/Behavioral Activation System scale was used to measure participants' trait sensitivity to reward and punishment. Our results confirmed both prefrontal resting-state activity and personality traits as sources of individual differences in risk-taking behavior. Right-left asymmetry in prefrontal activity and scores on the Behavioral Inhibition System scale, reflecting trait sensitivity to punishment, were correlated with the level of risk-taking on the task. We further discovered that scores on the Behavioral Inhibition System scale modulated the relationship between asymmetry in prefrontal resting-state activity and risk-taking. The results of this study demonstrate that heterogeneity in risk-taking behavior can be traced back to differences in the basic physiology of decision-makers' brains, and suggest that baseline prefrontal activity and personality traits might interplay in guiding risk-taking behavior.

Type: Article
Title: Predicting Risk-Taking Behavior from Prefrontal Resting-State Activity and Personality
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0076861
Publisher version: http://dx.doi.org/10.1371/journal.pone.0076861
Language: English
Additional information: © 2013 Studer et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. PMCID: PMC3792091
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/1409096
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