Jiang Weixiong, Liu Huasheng, Zeng Lingli, Liao Jian, Shen Hui, Luo Aijing, Hu Dewen, Wang Wei
Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, 410013, P.R. China.
College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, 410073, P.R. China.
Behav Brain Funct. 2015 Jan 17;11(1):1. doi: 10.1186/s12993-014-0046-4.
Previous functional MRI (fMRI) studies have demonstrated group differences in brain activity between deceptive and honest responses. The functional connectivity network related to lie-telling remains largely uncharacterized.
In this study, we designed a lie-telling experiment that emphasized strategy devising. Thirty-two subjects underwent fMRI while responding to questions in a truthful, inverse, or deceitful manner. For each subject, whole-brain functional connectivity networks were constructed from correlations among brain regions for the lie-telling and truth-telling conditions. Then, a multivariate pattern analysis approach was used to distinguish lie-telling from truth-telling based on the functional connectivity networks.
The classification results demonstrated that lie-telling could be differentiated from truth-telling with an accuracy of 82.81% (85.94% for lie-telling, 79.69% for truth-telling). The connectivities related to the fronto-parietal networks, cerebellum and cingulo-opercular networks are most discriminating, implying crucial roles for these three networks in the processing of deception.
The current study may shed new light on the neural pattern of deception from a functional integration viewpoint.
先前的功能磁共振成像(fMRI)研究已经证明了在欺骗性和诚实性反应之间大脑活动存在组间差异。与说谎相关的功能连接网络在很大程度上仍未得到充分描述。
在本研究中,我们设计了一个强调策略制定的说谎实验。32名受试者在以真实、反向或欺骗的方式回答问题时接受了fMRI检查。对于每个受试者,基于说谎和说实话条件下脑区之间的相关性构建全脑功能连接网络。然后,使用多变量模式分析方法基于功能连接网络区分说谎和说实话。
分类结果表明,说谎和说实话能够被区分,准确率为82.81%(说谎为85.94%,说实话为79.69%)。与额顶叶网络、小脑和扣带回-脑岛网络相关的连接性最具区分性,这意味着这三个网络在欺骗处理过程中起着关键作用。
当前的研究可能从功能整合的角度为欺骗的神经模式提供新的见解。