A Concealed Information Test with Combination of ERP Recording and Autonomic Measurements
A Concealed Information Test with Combination of ERP Recording and Autonomic Measurements
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DOI：
10.1007/s11062-013-9360-y
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发表时间：
2013-05-01
期刊：
影响因子：
0.5
通讯作者：
Moradi, M. H.
中科院分区：
文献类型：
--
作者：
Farahani, E. D.;Moradi, M. H.
隐藏信息测试（CIT）是基于受试者对探针和无关物品的生理反应之间的比较，以检测隐藏信息。本研究的主要目的是探讨事件相关电位（ERP）和自主神经测量相结合的CIT准确性增强。我们试图通过在“模拟犯罪”教学中使用犯罪背景和真实的无辜受试者而不是假设的受试者，最大限度地将实验条件比作真实的条件。52名受试者自愿参与，并只表演了一种无辜或有罪的场景。CIT被设计成五个块，具有短的刺激间隔。在每个区块中，刺激以7阶平衡序列呈现。除EEG现象外，还记录心率、皮肤电导反应（SCR）、呼吸活动和手指体积描记图。统计学分析表明，有罪组和无罪组的ERP和自主测量的标准化差异得分之间存在显着差异。SCR未达到标准的基于药物的CIT研究中报告的预期结果。两种分类方法的回顾表明，ERP和自主测量的组合提高了CIT的准确性。线性判别分析（LDA）的帮助下获得的最佳分类准确率为90.9%。在模拟犯罪教学和奖惩系统中使用犯罪情境，似乎使被试更加专注和投入实验，因此，与同类研究相比，准确性有所提高。
The concealed information test (CIT) is based on a comparison between the subject's physiological responses to a probe and irrelevant items in order to detect concealed information. The main purpose of our study was to investigate the CIT accuracy enhancement related to a combination of recording of event-related potentials (ERPs) and autonomic measurements. We tried to maximally liken the experimental conditions to real ones by the use of a criminal context in the "mock crime" instruction and real innocent subjects instead of hypothetical ones. Fifty-two subjects volunteered and performed just one of the innocent or guilty scenarios. The CIT was designed in five blocks with short interstimulus intervals. In each block, stimuli were presented in the 7th-order balanced sequence. In addition to EEG phenomena, the heart rate, skin conductance responses (SCRs), respiratory activity, and finger plethysmogram were recorded. Statistical analyses showed that there was a significant difference between standardized difference scores of the guilty and innocent groups in both ERP and autonomic measures. The SCR did not achieve the expected results reported in standard autonomic-based CIT studies. A review of the two classification methods showed that the combination of ERP and autonomic measurements enhances the CIT accuracy. The best classification accuracy obtained by the aid of linear discriminant analysis (LDA) was 90.9%. It seems that using a criminal context in the "mock crime" instruction and the reward-punishment system made subjects more attentive and involved in the experiment; therefore, the accuracy was improved compared with that in similar studies.