TY  - JOUR
PY  - 2022//
TI  - Risk-taking in the human brain: an activation likelihood estimation meta-analysis of the balloon analog risk task (BART)
JO  - Human brain mapping
A1  - Wang, Mengmeng
A1  - Zhang, Shunmin
A1  - Suo, Tao
A1  - Mao, Tianxin
A1  - Wang, Fenghua
A1  - Deng, Yao
A1  - Eickhoff, Simon
A1  - Pan, Yu
A1  - Jiang, Caihong
A1  - Rao, Hengyi
SP  - 5643
EP  - 5657
VL  - 43
IS  - 18
N2  - 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.<p />  <p>Language: en</p>
LA  - en
SN  - 1065-9471
UR  - http://dx.doi.org/10.1002/hbm.26041
ID  - ref1
ER  -