Forewarned Is Forearmed: The single- and dual-brain mechanisms in Detectors from Dyads of Varying Social Distance During Deceptive Outcomes Evaluation.

IF 4 2区 医学 Q1 NEUROSCIENCES
Rui Huang,Xiaowei Gao,Chenyu Zhang,Jingyue Liu,Ye Zhang,Yifei Zhong,Yunen Chen,He Wang,Xing Wei,Yingjie Liu
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引用次数: 0

Abstract

Preventing deception requires understanding how lie detectors process social information across social distance. Although the outcomes of such information are crucial, how detectors evaluate gains or losses from close versus distant others remains unclear. Using a sender-receiver paradigm and fNIRS hyperscanning, we recruited 66 healthy adult dyads (32 male and 34 female dyads) to investigate how perceived social distance modulates the neural basis in receivers (the detector) during deceptive gain-loss evaluation. The results showed that detectors were more prone to deception in gain contexts, with these differences mediated by connectivity in risk evaluation (Dorsolateral Prefrontal Cortex, DLPFC), reward-processing (Orbitofrontal Cortex, OFC), and intention-understanding regions (Frontal Pole Area, FPA). Hyperscanning analyses revealed that friend dyads exhibited higher interpersonal neural synchrony (INS) in these regions than stranger dyads. In gain contexts, friend dyads showed enhanced INS in the OFC, whereas in loss contexts, enhanced INS was observed in the DLPFC. Trial-level analysis revealed that the INS during the current trial effectively predicted the successful deception of that trial. We constructed a series of regression models and found that INS provides superior predictive power over single-brain measures. The INS-based Support Vector Regression model achieved an accuracy of 86.66% in predicting deception. This indicates that increased trust at closer social distances reduces vigilance and fosters relationship-oriented social information processing. As the first to identify INS as a neural marker for deception from the detector's perspective, this work advances Interpersonal Deception Theory and offers a neuroscientific basis for credit risk management.Significance Statement Using a sender-receiver paradigm and fNIRS hyperscanning, we investigated deception from the detector's perspective across social distances and gain-loss contexts. Our findings reveal that interpersonal neural synchrony (INS) between the dorsolateral and orbitofrontal prefrontal cortices reliably predicts whether deception succeeds. We further analyzed the predictive power of INS at the trial level and found that deception susceptibility was first apparent in the early stages of verbal communication. These results suggest that deception is not solely shaped by individual vigilance but emerges from dynamic neural coupling during interaction. This study identifies INS as a neural signature of deception susceptibility and bridges behavioral models with neural computation, offering implications for deception detection in real-world social contexts.
预先警告即预先武装:不同社会距离的二人组在欺骗结果评估中的单脑和双脑机制。
防止欺骗需要了解测谎仪如何跨越社会距离处理社会信息。尽管这些信息的结果是至关重要的,但探测器如何评估从亲密的人那里获得的或从遥远的人那里获得的或失去的,仍然不清楚。利用发送者-接收者范式和fNIRS超扫描,我们招募了66对健康的成年夫妇(32对男性和34对女性)来研究在欺骗性得失评估中,感知社会距离如何调节接受者(检测器)的神经基础。结果表明,在增益情境下,被试更倾向于欺骗,这些差异是由风险评估(背外侧前额叶皮质,DLPFC)、奖励处理(眶额叶皮质,OFC)和意图理解区域(额极区,FPA)的连通性介导的。超扫描分析显示,朋友二人组在这些区域比陌生人二人组表现出更高的人际神经同步(INS)。在增益环境中,朋友二人组在OFC中表现出增强的INS,而在损失环境中,在DLPFC中观察到增强的INS。试验水平分析显示,在当前试验中,INS有效地预测了该试验的成功欺骗。我们构建了一系列回归模型,发现INS比单脑测量提供了更好的预测能力。基于ins的支持向量回归模型对欺骗行为的预测准确率达到86.66%。这表明,在更近的社会距离上增加的信任会降低警惕性,并促进以关系为导向的社会信息处理。作为第一个从检出者的角度确定INS作为欺骗的神经标记的研究,本研究推进了人际欺骗理论,并为信用风险管理提供了神经科学基础。利用发送者-接收者范式和近红外光谱超扫描,我们从社交距离和得失背景下的检测器角度研究了欺骗行为。我们的研究结果表明,背外侧和眶额前额叶皮层之间的人际神经同步(INS)可以可靠地预测欺骗是否成功。我们进一步分析了INS在试验阶段的预测能力,发现欺骗敏感性在言语交际的早期阶段首先表现出来。这些结果表明,欺骗不仅仅是由个体的警惕性决定的,而是在互动过程中动态神经耦合产生的。本研究将INS识别为欺骗敏感性的神经特征,并将行为模型与神经计算相结合,为现实社会背景下的欺骗检测提供启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Neuroscience
Journal of Neuroscience 医学-神经科学
CiteScore
9.30
自引率
3.80%
发文量
1164
审稿时长
12 months
期刊介绍: JNeurosci (ISSN 0270-6474) is an official journal of the Society for Neuroscience. It is published weekly by the Society, fifty weeks a year, one volume a year. JNeurosci publishes papers on a broad range of topics of general interest to those working on the nervous system. Authors now have an Open Choice option for their published articles
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