Tao Ding, Peihua Xian, Shuai Jin, Zhiyuan Liu, Xuqun You
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Common and Distinct Neural Mechanisms Underlying Risk Seeking and Risk Aversion: Evidence From the Neuroimaging Meta-Analysis
Risky decision-making, a ubiquitous aspect of human behavior, primarily encompasses two behavioral tendencies: risk seeking and risk aversion. Despite extensive exploration of the neural mechanisms involved in risk decision-making, the specific neural activity patterns underlying risk seeking and risk aversion, along with their dynamic regulatory mechanisms, remain unclear. This study employed a comprehensive meta-analysis approach that includes 43 risk seeking and 22 risk aversion whole-brain experiments to explore the neural basis and functional networks of risk seeking and risk aversion. The results indicated that risk seeking was associated with activations in the right insula and left caudate, whereas risk aversion was related to activations in the left middle temporal gyrus (MTG) and left anterior cingulate cortex (ACC). Further analyses showed that risk seeking primarily was linked to the reward network, salience network, and cognitive control network, while risk aversion primarily was involved in the cognitive control network and valuation network. These findings lend support to the dual-system theory, wherein risk seeking is predominantly influenced by the emotional system, whereas risk aversion is primarily driven by the cognitive system. Our study offers a novel perspective on the neural mechanisms underpinning risky decision-making and provides a theoretical foundation for interventions aimed at individuals with decision-making impairments.
期刊介绍:
Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged.
Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.