Memory detection with concurrent behavioral, autonomic, and neuroimaging measures in a mock crime.

IF 2.9 2区 心理学 Q2 NEUROSCIENCES
Psychophysiology Pub Date : 2024-12-01 Epub Date: 2024-10-11 DOI:10.1111/psyp.14701
Chongxiang Wang, Xingyu Yi, Hongrui Li, Ni Ke, Zhili Lei, Genyue Fu, Xiaohong Allison Lin
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引用次数: 0

Abstract

Concealed information test (CIT) has been utilized for long to perform single measurements. The combination of multiple measures outperforms single measures because of the diverse cognitive processes they reflect and the reduction in random errors facilitated by multiple measures. To further explore the performance of the CIT with multiple measurements, 57 participants were recruited and randomly assigned into guilty and innocent groups. Subsequently, simultaneously recorded reaction time (RT), skin conductance responses (SCRs), heart rate (HR), and neuroimaging data were collected from functional near-infrared spectroscopy (fNIRS) to detect participants' concealed information in a standard CIT. The results demonstrated that all indicators including RT (area under the curve (AUC) = 0.87), SCRs (AUC = 0.79), HR (AUC = 0.78), and fNIRS (channel 8, AUC = 0.85) could differentiate guilty and innocent groups. Importantly, the use of multiple indicators achieved higher detection efficiency (AUC = 0.96) compared to the use of any single indicator. These results illustrate the effectiveness and feasibility of integrating multiple indicators for concealed information detection in CIT.

在模拟犯罪中通过行为、自律神经和神经影像测量进行记忆检测。
长期以来,人们一直利用隐蔽信息测试(CIT)来进行单一测量。多种测量方法的组合优于单一测量方法,因为它们反映了不同的认知过程,而且多种测量方法有助于减少随机误差。为了进一步探讨 CIT 的多重测量性能,我们招募了 57 名参与者,并将他们随机分配到有罪组和无罪组。随后,同时记录反应时间(RT)、皮肤传导反应(SCR)、心率(HR)和功能性近红外光谱(fNIRS)的神经影像数据,以检测标准 CIT 中参与者隐藏的信息。结果表明,包括 RT(曲线下面积 (AUC) = 0.87)、SCR(AUC = 0.79)、HR(AUC = 0.78)和 fNIRS(通道 8,AUC = 0.85)在内的所有指标都能区分有罪组和无罪组。重要的是,与使用任何单一指标相比,使用多个指标可实现更高的检测效率(AUC = 0.96)。这些结果说明了在 CIT 中整合多个指标进行隐藏信息检测的有效性和可行性。
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来源期刊
Psychophysiology
Psychophysiology 医学-神经科学
CiteScore
6.80
自引率
8.10%
发文量
225
审稿时长
2 months
期刊介绍: Founded in 1964, Psychophysiology is the most established journal in the world specifically dedicated to the dissemination of psychophysiological science. The journal continues to play a key role in advancing human neuroscience in its many forms and methodologies (including central and peripheral measures), covering research on the interrelationships between the physiological and psychological aspects of brain and behavior. Typically, studies published in Psychophysiology include psychological independent variables and noninvasive physiological dependent variables (hemodynamic, optical, and electromagnetic brain imaging and/or peripheral measures such as respiratory sinus arrhythmia, electromyography, pupillography, and many others). The majority of studies published in the journal involve human participants, but work using animal models of such phenomena is occasionally published. Psychophysiology welcomes submissions on new theoretical, empirical, and methodological advances in: cognitive, affective, clinical and social neuroscience, psychopathology and psychiatry, health science and behavioral medicine, and biomedical engineering. The journal publishes theoretical papers, evaluative reviews of literature, empirical papers, and methodological papers, with submissions welcome from scientists in any fields mentioned above.
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