Department of Psychology, National Taiwan University, Taipei, Taiwan.
Biology and Biological Engineering, California Institute of Technology, Pasadena, California, USA.
Hum Brain Mapp. 2022 Jul;43(10):3257-3269. doi: 10.1002/hbm.25849. Epub 2022 Mar 28.
Deception detection can be of great value during the juristic investigation. Although the neural signatures of deception have been widely documented, most prior studies were biased by difficulty levels. That is, deceptive behavior typically required more effort, making deception detection possibly effort detection. Furthermore, no study has examined the generalizability across instructed and spontaneous responses and across participants. To explore these issues, we used a dual-task paradigm, where the difficulty level was balanced between truth-telling and lying, and the instructed and spontaneous truth-telling and lying were collected independently. Using Multivoxel pattern analysis, we were able to decode truth-telling versus lying with a balanced difficulty level. Results showed that the angular gyrus (AG), inferior frontal gyrus (IFG), and postcentral gyrus could differentiate lying from truth-telling. Critically, linear classifiers trained to distinguish instructed truthful and deceptive responses could correctly differentiate spontaneous truthful and deceptive responses in AG and IFG with above-chance accuracy. In addition, with a leave-one-participant-out analysis, multivoxel neural patterns from AG could classify if the left-out participant was lying or not in a trial. These results indicate the commonality of neural responses subserved instructed and spontaneous deceptive behavior as well as the feasibility of cross-participant deception validation.
欺骗检测在司法调查中具有重要价值。虽然欺骗的神经特征已被广泛记录，但大多数先前的研究都受到难度水平的影响。也就是说，欺骗行为通常需要更多的努力，因此欺骗检测可能是努力检测。此外，尚无研究检验指令性和自发性反应以及不同参与者之间的可推广性。为了探讨这些问题，我们使用了双重任务范式，在该范式中，真实陈述和说谎之间的难度水平是平衡的，并且独立收集指令性和自发性的真实陈述和说谎。使用多体素模式分析，我们能够以平衡的难度水平解码真实陈述与说谎。结果表明，角回（AG），额下回（IFG）和中央后回可以将说谎与真实陈述区分开。至关重要的是，经过训练可区分指令性真实和欺骗性反应的线性分类器可以以高于机会的准确性在 AG 和 IFG 中正确区分自发性真实和欺骗性反应。此外，通过进行参与者排除分析，AG 的多体素神经模式可以在一次试验中判断被排除的参与者是否在说谎。这些结果表明，指令性和自发性欺骗行为所依赖的神经反应具有共性，并且跨参与者的欺骗验证是可行的。
