欺骗
人际交往
心理学
社会距离
认知心理学
社会心理学
结果(博弈论)
社会认知
心理理论
预测能力
人际关系
社会关系
人际互动
社会神经科学
计算机科学
测谎
人工智能
透视图(图形)
社会化媒体
人工神经网络
回归分析
非语言交际
作者
Rui Huang,Xiao‐Wei Gao,Chenyu Zhang,Jingyue Liu,Ye Zhang,Yifei Zhong,Yunen Chen,He Wang,Wei Xing,Yingjie Liu
标识
DOI:10.1523/jneurosci.2129-24.2025
摘要
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 functional near-infrared spectroscopy 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). 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.
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