%0 Journal Article
%A Wang, Mengmeng
%A Zhang, Shunmin
%A Suo, Tao
%A Mao, Tianxin
%A Wang, Fenghua
%A Deng, Yao
%A Eickhoff, Simon
%A Pan, Yu
%A Jiang, Caihong
%A Rao, Hengyi
%T Risk‐taking in the human brain: An activation likelihood estimation meta‐analysis of the balloon analog risk task (BART)
%J Human brain mapping
%V 43
%N 18
%@ 1065-9471
%C New York, NY
%I Wiley-Liss
%M FZJ-2022-04100
%P 5643-5657
%D 2022
%X 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.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ 36441844
%U <Go to ISI:>//WOS:000842244700001
%R 10.1002/hbm.26041
%U https://juser.fz-juelich.de/record/910730