Risk-taking in the human brain: An activation likelihood estimation meta-analysis of the balloon analog risk task (BART)

Hum Brain Mapp. 2022 Dec 15;43(18):5643-5657. doi: 10.1002/hbm.26041. Epub 2022 Aug 18.

Abstract

The Balloon Analog Risk Task (BART) is increasingly used to assess risk-taking behavior and brain function. However, the brain networks underlying risk-taking during the BART and its reliability remain controversial. Here, we combined the activation likelihood estimation (ALE) meta-analysis with both task-based and task-free functional connectivity (FC) analysis to quantitatively synthesize brain networks involved in risk-taking during the BART, and compared the differences between adults and adolescents studies. Based on 22 pooled publications, the ALE meta-analysis revealed multiple brain regions in the reward network, salience network, and executive control network underlying risk-taking during the BART. Compared with adult risk-taking, adolescent risk-taking showed greater activation in the insula, putamen, and prefrontal regions. The combination of meta-analytic connectivity modeling with task-free FC analysis further confirmed the involvement of the reward, salience, and cognitive control networks in the BART. These findings demonstrate the core brain networks for risk-taking during the BART and support the utility of the BART for future neuroimaging and developmental research.

Keywords: activation likelihood estimation; age difference; balloon analog risk task; functional connectivity; risk-taking.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aircraft*
  • Brain* / diagnostic imaging
  • Humans
  • Likelihood Functions
  • Reproducibility of Results
  • Risk-Taking