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融合脑电和近红外光谱检测隐藏信息。

Detecting Concealed Information with Fused Electroencephalography and Functional Near-infrared Spectroscopy.

机构信息

Bioimaging Core, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR, China.

Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China.

出版信息

Neuroscience. 2018 Aug 21;386:284-294. doi: 10.1016/j.neuroscience.2018.06.049. Epub 2018 Jul 10.

Abstract

In this study, fused electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) techniques were utilized to examine the relationship between the ERP (event-related potential) component P300 and fNIRS hemodynamic signals for high-accuracy deception detection. During the performance of a modified concealed information test (CIT) task, a series of Chinese names were presented, which served as the target, irrelevant, or the probe stimuli for both the guilty and innocent groups. For participants in the guilty group, the probe stimulus was their individual name, whereas for the innocent group, the probe stimulus was one irrelevant name. In particular, data from concurrent fNIRS and ERP recordings were carefully inspected for participants from the two groups. Interestingly, we discovered that for the guilty group, the probe stimulus elicited significantly higher P300 amplitude at parietal site and also evoked significantly stronger oxyhemoglobin (HbO) concentration changes in the bilateral superior frontal gyrus and bilateral middle frontal gyrus than the irrelevant stimuli. However, this is not the case for the innocent group, in which participants exhibited no significant differences in both ERP and fNIRS measures between the probe and irrelevant stimuli. More importantly, our findings also demonstrated that the combined ERP and fNIRS feature was able to differentiate the guilty and innocent groups with enhanced sensitivity, in which AUC (the area under Receiver Operating Characteristic curve) is 0.94 for deception detection based on the combined indicator, much higher than that based on the ERP component P300 only (0.85) or HbO measure only (0.84).

摘要

在这项研究中,融合了脑电图(EEG)和功能近红外光谱(fNIRS)技术,以研究事件相关电位(ERP)成分 P300 与 fNIRS 血液动力学信号之间的关系,用于高精度的欺骗检测。在进行改良的隐藏信息测试(CIT)任务期间,呈现了一系列中文名称,作为目标、不相关或探针对有罪和无罪组的刺激。对于有罪组的参与者,探针刺激是他们的个人名字,而对于无罪组的参与者,探针刺激是一个不相关的名字。特别是,对于来自两组的参与者,仔细检查了同时进行的 fNIRS 和 ERP 记录的数据。有趣的是,我们发现对于有罪组,与不相关刺激相比,探针对顶叶部位诱发的 P300 振幅明显更高,并且还在双侧额上回和双侧额中回引起更强的氧合血红蛋白(HbO)浓度变化。然而,对于无罪组的参与者则并非如此,他们在 ERP 和 fNIRS 测量中,探针刺激和不相关刺激之间没有明显差异。更重要的是,我们的研究结果还表明,ERP 和 fNIRS 特征的结合能够区分有罪和无罪组,并且具有更高的敏感性,其中基于组合指标的 AUC(接受者操作特征曲线下的面积)为 0.94,用于欺骗检测,高于仅基于 ERP 成分 P300(0.85)或仅基于 HbO 测量(0.84)。

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