揭示合作组合风险偏好的神经基础：一项fNIRS研究。

IF 4.7 2区医学 Q1 NEUROIMAGING

NeuroImage Pub Date : 2025-03-23 DOI:10.1016/j.neuroimage.2025.121167

Qianlan Yin , Jing Wen , Shuo Chen , Tianya Hou , Ying Liu , Danni Yang , Guorui Liu , Peiqi Shi , Wei Dong

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引用次数: 0

摘要

背景：个体的风险偏好已被证明在各种情况下影响他们的决策。然而，社会环境中风险偏好与决策之间关系的神经机制尚不清楚。本研究利用功能近红外光谱（fNIRS）研究了风险下二元决策的神经关联以及个体风险偏好的调节作用。方法：采用两阶段实验设计，考察风险偏好对群体决策的影响。根据G-power软件计算，首次招募了168名右撇子参与者（男性62人，女性106人，平均年龄21.26±1.70岁）。参与者首先完成了一个单人顺序风险任务来衡量风险偏好，然后将他们分为三组：风险与风险，风险与安全，安全与安全。记录任务表现和决策行为。使用功能近红外光谱（fNIRS）测量前额叶皮层的皮层激活，重点关注脑间同步和耦合方向性，使用小波相干性和格兰杰因果关系（GC）分析。对数据进行预处理去噪，统计分析包括重复测量方差分析、支持向量回归和多元回归分析。结果：研究考察了不同配对组的二元风险决策，“Risky&Risky”组的风险寻求行为最高，且主效应显著（F（2,81） = 7.438,P = 0.001）。在以正反馈为特征的结果期，脑间同步表现出显著性，在“高风险”组中尤为明显。格兰杰因果分析揭示了独特的脑连接模式，表明“风险和安全”对的GC值在转移条件下比其他对增加，在合作条件下比其他对减少，但没有达到统计学意义。回归分析显示，OFC-mdlPFC GC值和人格特质是风险承担的显著预测因子，并受群体成员的调节作用（R²调整 = 0.173和0.191）。结论：本研究采用近红外超扫描研究风险偏好的个体差异如何影响二元情境下的决策。结果表明，眶额和内侧前额叶皮层之间的连通性和信息传递的变化是双元配对表现出不同冒险行为的基础。这些发现强调了情感和认知控制机制以及个体风险人格特征在不确定条件下合作决策中的关键作用。

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Uncovering the neural basis of risk preferences in cooperative Dyads: A fNIRS study

Background

Individuals' risk preferences have been shown to influence their decision-making in various contexts. However, the neural mechanisms underlying the relationship between risk preference and decision-making in a social setting remain unclear. This study utilized functional near-infrared spectroscopy (fNIRS) to investigate the neural correlates of dyadic decision-making under risk and the modulating effect of individual risk preference.

Method

This study examined the impact of risk preference on group decision-making using a two-phase experimental design. Based on G-power software calculations, 168 right-handed participants (62 males, 106 females, mean age 21.26±1.70) were recruited. Participants first completed a single-player Sequential Risk Task to measure risk preference, followed by group classification into three groups: Risky&Risky, Risky&Safe, and Safe&Safe. Task performance and decision-making behavior were recorded. Functional Near-Infrared Spectroscopy (fNIRS) was employed to measure cortical activation in the prefrontal cortex, focusing on inter-brain synchrony and coupling directionality using wavelet coherence and Granger causality(GC) analyses. Data were preprocessed to remove noise, and statistical analyses included repeated measures ANOVAs, Support Vector Regression and multiple regression analyses.

Results

The study investigated dyadic risky decision-making among different paired groups, and the "Risky&Risky" group showed the highest risk-seeking behavior, with a significant main effect (F(2,81) = 7.438, P = 0.001). Inter-brain synchrony showed significance during outcome periods characterized by positive feedback, notably being higher within the "Risky&Risky" group. Granger causality analysis unveiled unique brain connectivity patterns, indicating that the GC values of "Risky&Safe" pairs increased during the diversion condition and decreased during the cooperation condition in comparison to other pairs, albeit without reaching statistical significance. Regression analysis indicated that OFC-mdlPFC GC values and personality traits were significant predictors of risk-taking, with the moderation of these effects by group membership (R² _adjusted = 0.173 and 0.191).

Conclusion

This study employed fNIRS hyperscanning to investigate how individual differences in risk preference impact decision-making in dyadic contexts. The results indicated that variations in connectivity and information transfer between the orbitofrontal and medial prefrontal cortices underlie the distinct risk-taking behaviors exhibited by dyadic pairs. These findings underscore the pivotal role of affective and cognitive control mechanisms and individual risk personality traits in cooperative decision-making under conditions of uncertainty.

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来源期刊

NeuroImage 医学-核医学

CiteScore

11.30

自引率

10.50%

发文量

809

审稿时长

63 days

期刊介绍： NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.