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The common and distinct brain basis associated with adult and adolescent risk-taking behavior: Evidence from the neuroimaging meta-analysis

神经影像学 荟萃分析 默认模式网络 构造(python库) 心理学 认知 神经功能成像 大脑活动与冥想 发展心理学 神经科学 认知心理学 临床心理学 医学 脑电图 内科学 计算机科学 程序设计语言
作者
Mengmeng Wang,Yao Deng,Yingying Liu,Tao Suo,Bowen Guo,Simon B. Eickhoff,Jing Xu,Hengyi Rao
出处
期刊:Neuroscience & Biobehavioral Reviews [Elsevier BV]
卷期号:160: 105607-105607 被引量:6
标识
DOI:10.1016/j.neubiorev.2024.105607
摘要

Risk-taking is a common, complex, and multidimensional behavior construct that has significant implications for human health and well-being. Previous research has identified the neural mechanisms underlying risk-taking behavior in both adolescents and adults, yet the differences between adolescents' and adults' risk-taking in the brain remain elusive. This study firstly employs a comprehensive meta-analysis approach that includes 73 adult and 20 adolescent whole-brain experiments, incorporating observations from 1986 adults and 789 adolescents obtained from online databases, including Web of Science, PubMed, ScienceDirect, Google Scholar and Neurosynth. It then combines functional decoding methods to identify common and distinct brain regions and corresponding psychological processes associated with risk-taking behavior in these two cohorts. The results indicated that the neural bases underlying risk-taking behavior in both age groups are situated within the cognitive control, reward, and sensory networks. Subsequent contrast analysis revealed that adolescents and adults risk-taking engaged frontal pole within the fronto-parietal control network (FPN), but the former recruited more ventrolateral area and the latter recruited more dorsolateral area. Moreover, adolescents' risk-taking evoked brain area activity within the ventral attention network (VAN) and the default mode network (DMN) compared with adults, consistent with the functional decoding analyses. These findings provide new insights into the similarities and disparities of risk-taking neural substrates underlying different age cohorts, supporting future neuroimaging research on the dynamic changes of risk-taking.
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