分类： 生物学 >> 生物物理学 提交时间： 2016-05-12
Wang, Ying
Yang, Lizhuang
Gu, Feng
Li, Xiaoming
Zha, Rujing
Wei, Zhengde
Pei, Yakun
Zhou, Yifeng
Zhang, Xiaochu
Wang, Ying
Yang, Lizhuang
Gu, Feng
Li, Xiaoming
Zha, Rujing
Wei, Zhengde
Pei, Yakun
Zhou, Yifeng
Zhang, Xiaochu
Liu, Ying
Li, Xiaoming
摘要： Novelty seeking (NS) is a personality trait reflecting excitement in response to novel stimuli. High NS is usually a predictor of risky behaviour such as drug abuse. However, the relationships between NS and risk-related cognitive processes, including individual risk preference and the brain activation associated with risk prediction, remain elusive. In this fMRI study, participants completed the Tridimensional Personality Questionnaire to measure NS and performed a probabilistic decision making task. Using a mathematical model, we estimated individual risk preference. Brain regions associated with risk prediction were determined via fMRI. The NS score showed a positive correlation with risk preference and a negative correlation with the activation elicited by risk prediction in the right posterior insula (r-PI), left anterior insula (l-AI), right striatum (r-striatum) and supplementary motor area (SMA). Within these brain regions, only the activation associated with risk prediction in the r-PI showed a correlation with NS after controlling for the effect of risk preference. Resting-state functional connectivity between the r-PI and r-striatum/l-AI was negatively correlated with NS. Our results suggest that high NS may be associated with less aversion to risk and that the r-PI plays an important role in relating risk prediction to NS.
分类： 生物学 >> 生物物理学 提交时间： 2016-05-05
Wei, Zhengde
Yang, Nannan
Yang, Lizhuang
Wang, Ying
Han, Long
Zha, Rujing
Huang, Ruiqi
Zhou, Yifeng
Liu, Ying
Zhang, Peng
Zhang, Xiaochu
Zhang, Xiaochu
Zhang, Xiaochu
摘要： Nicotine addiction is associated with risky behaviors and abnormalities in local brain areas related to risky decision-making such as the dorsal anterior cingulate cortex (dACC), anterior insula (AI), and thalamus. Although these brain abnormalities are anatomically separated, they may in fact belong to one neural network. However, it is unclear whether circuit-level abnormalities lead to risky decision-making in smokers. In the current study, we used task-based functional magnetic resonance imaging (fMRI) and examined resting-state functional connectivity (RSFC) to study how connectivity between the dACC, insula, and thalamus influence risky decision-making in nicotine addicts. We found that an increase in risky decision-making was associated with stronger nicotine dependence and stronger RSFC of the dACC-rAI (right AI), the dACC-thalamus, the dACC-lAI (left AI), and the rAI-lAI, but that risky decision-making was not associated with risk level-related activation. Furthermore, the severity of nicotine dependence positively correlated with RSFC of the dACC-thalamus but was not associated with risk level-related activation. Importantly, the dACC-thalamus coupling fully mediated the effect of nicotine-dependent severity on risky decision-making. These results suggest that circuit-level connectivity may be a critical neural link between risky decision-making and severity of nicotine dependence in smokers.
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