Zhang Xiaoling, Zhang Xinyue, Chen Xiumei, Feng Qianjin, Huang Meiyan
School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.
Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital, Zhuhai Hospital Affiliated with Jinan University, Zhuhai, 519000, China.
Int J Clin Health Psychol. 2024 Oct-Dec;24(4):100511. doi: 10.1016/j.ijchp.2024.100511. Epub 2024 Oct 20.
Although universal, deception may be a sign of certain mental disorders and may impede the effectiveness of clinical intervention. However, individual difference exists in deception, and its underlying neural mechanisms remain unclear, thereby limiting the applicability of deception detection for clinical diagnosis.
Functional near-infrared spectroscopy and multiple aspects of personality assessments [the Behavioral Approach System and the Behavioral Inhibition System (BIS) scale, and the Neuroticism-Extroversion-Openness Five-Factor Inventory scale] were applied to explore the neural mechanisms underlying individual differences in deception. Furthermore, a transformer-based model considering personality traits was developed to help people detect deception.
Results showed that personality traits influenced deception primarily through activity in the frontopolar area, dorsolateral prefrontal cortex, and temporoparietal junction area. Moreover, personality traits from different aspects jointly influenced deception, which may vary with behavioral changes. Specifically, extroversion is one of the personality traits partially mediating the effect of BIS on the frontopolar area during deception while being masked during honesty. Additionally, the deception-detection model was found to obtained good classification performance (area under curve: 0.93 ± 0.047), where personality variables contributed to improving the performance.
These findings demonstrated the potential neural impacts of personality in deception for explaining individual differences, which holds great promise in improving the applicability of deception detection for clinical diagnosis.
尽管欺骗行为普遍存在,但它可能是某些精神障碍的迹象,并且可能会妨碍临床干预的效果。然而,欺骗行为存在个体差异,其潜在的神经机制仍不清楚,从而限制了欺骗检测在临床诊断中的适用性。
应用功能近红外光谱技术和多方面的人格评估[行为趋近系统和行为抑制系统(BIS)量表,以及神经质-外向性-开放性五因素问卷量表]来探究欺骗行为个体差异背后的神经机制。此外,还开发了一种考虑人格特质的基于Transformer的模型,以帮助人们检测欺骗行为。
结果表明,人格特质主要通过额极区、背外侧前额叶皮层和颞顶联合区的活动来影响欺骗行为。此外,不同方面的人格特质共同影响欺骗行为,这可能会随行为变化而有所不同。具体而言,外向性是在欺骗过程中部分介导BIS对额极区影响的人格特质之一,而在诚实状态下则被掩盖。此外,发现欺骗检测模型具有良好的分类性能(曲线下面积:0.93±0.047),其中人格变量有助于提高性能。
这些发现证明了人格在欺骗行为中对解释个体差异的潜在神经影响,这在提高欺骗检测在临床诊断中的适用性方面具有很大的前景。