功能性近红外光谱技术在说谎研究中的应用

doi:10.3724/SP.J.1042.2019.00160

摘要/Abstract

摘要：

功能性近红外光谱技术(functional near-infrared spectroscopy, fNIRS)是近年来新兴起的一种脑成像技术, 其凭借生态效度高,成本低等优势已成为一种具有广阔前景的测谎技术.研究者使用了被动说谎和主动说谎的实验范式, 验证了fNIRS技术在说谎研究中的可行性和准确性, 揭示了其在探讨年幼儿童说谎行为和真实互动情景中自发说谎行为的神经机制中的优势.未来研究应综合运用多种指标和方法, 考察说谎行为的神经网络, 加强真实人际互动情景下自发谎言神经机制和儿童说谎认知发展神经机制的研究, 这将有助于揭示说谎的本质, 提高测谎效力.

关键词: 功能性近红外光谱技术, 人际互动, 测谎

Abstract:

The Functional Near-Infrared Spectroscopy (fNIRS) is one of the most promising functional neuroimaging tools in recent years due to its high ecological validity, low cost, and less sensitivity to head motions. Experimental paradigms of instructed lies and spontaneous lies have been used to verify the feasibility and accuracy of fNIRS technology in previous lying researches, and provided an opportunity to explore the cognitive mechanisms involved in lying among children, and the neural mechanisms of lying in real interaction scenarios. Future researches should use multimodal methods and indexes to enhance the accuracy of lie detection, and could explore the brain networks and the neural development of lying behavior to enrich research perspectives.

Key words: functional near-infrared spectroscopy, interpersonal interaction, lie detection

中图分类号:

白学军, 章鹏, 张琪涵, 宋璐, 杨宇. (2019). 功能性近红外光谱技术在说谎研究中的应用. 心理科学进展 , 27(1), 160-170.

BAI Xuejun, ZHANG Peng, ZHANG Qihan, SONG Lu, YANG Yu. (2019). Applications of functional near-infrared spectroscopy to lying researches. Advances in Psychological Science, 27(1), 160-170.

参考文献

1	陈昊 . (2013). 说谎的练习效应,模拟犯罪情境下的说谎与坦白研究 (硕士论文). 浙江师范大学, 金华.
2	崔茜, 蒋军, 杨文静, 张庆林 . (2013). 欺骗的神经机制和测谎应用:来自fMRI研究的证据. 心理科学进展, 21(9), 1629-1624.
3	丁晓攀 . (2012). 欺骗行为的发展及其社会认知神经机制 (博士论文). 华东师范大学, 上海.
4	董珊珊, 陈飞燕, 何宏建 . (2013). 脑成像技术的测谎应用及其心理生理学基础. 生物物理学报, (2), 94-104.
5	傅根跃, 马艳, 丁晓攀 . (2008). GKT测谎模式研究. 中国临床心理学杂志, 16(1), 106-109.
6	胡志善 . (2015). 说谎的发展: 前额叶作用的初探 (硕士论文). 浙江师范大学, 金华.
7	蒋伟雄, 刘华生, 廖坚, 李勇帆, 王维 . (2015). 基于多维模式分析对说谎的脑网络特征识别. 电子科技大学学报, 44(2), 311-315.
8	李放, 朱绘霖, 高倩倩, 胡自强, 郭欢, 徐贵雄, 何赛灵 . (2016). 自发说谎的光学脑成像研究. 华南师范大学学报(自然科学版), (2), 24-29.
9	梁静, 李开云, 曲方炳, 陈宥辛, 颜文靖, 傅小兰 . (2014). 说谎的非言语视觉线索. 心理科学进展, 22(6), 995-1005
10	梁静, 颜文靖, 陈文锋, 傅小兰 . (2016). 影响说谎行为的情境因素——基于自我概念维持理论的视角. 心理与行为研究,14(5), 709-714.
11	刘宝根, 周兢, 李菲菲 . (2011). 脑功能成像的新方法——功能性近红外光谱技术(fNIRS). 心理科学, 34(4), 943-949.
12	刘佩龙 . (2015). 互动情景下欺骗的神经机制初探——近红外脑功能成像研究(硕士学位论文). 浙江师范大学, 金华.
13	刘涛, 刘星辰 . (2017). fNIRS在自闭症脑功能研究中的应用与展望. 心理科学, 40(4), 1005-1010.
14	赛李阳 . (2012). 互动情境下谎言决策,反应和结果评价的神经机制的fNIRS和ERP研究(硕士学位论文). 浙江师范大学, 金华.
15	叶佩霞, 朱睿达, 唐红红, 买晓琴, 刘超 . (2017). 近红外光学成像在社会认知神经科学中的应用. 心理科学进展, 25(5), 731-741.
16	张亭玉, 张雨青 . (2008). 说谎行为及其识别的心理学研究. 心理科学进展, 16(4), 651-660.
17	周小梅 . (2013). 隐瞒信息测试下反应时,皮肤电和fNIRS的多指标测谎研究(硕士学位论文). 浙江师范大学, 金华.
18	邹雨晨, 李燕芳, 丁颖 . (2015). 早期高级认知发展与前额叶功能发育的fNIRS研究. 心理发展与教育, 31(6), 761-768.
19	Abe N. . (2009). The neurobiology of deception: Evidence from neuroimaging and loss-of-function studies. Current Opinion in Neurology, 22(6), 594-600.
20	Abe N. . (2011). How the brain shapes deception an integrated review of the literature. The Neuroscientist, 17(5)560-574.
21	Ben-Shakhar G., & Elaad E. (2003). The validity of psychophysiological detection of information with the Guilty Knowledge Test: A meta-analytic review. Journal of Applied Psychology, 88(1), 131-151.
22	Bhutta M.R., &Hong K.S . (2013). Classification of fNIRS signals for deception decoding using LDA and SVM.Paper presented at the meeting of 13th International Conference on Control, Automation and Systems (ICCAS 2013)(pp. 2093-7121). Gwangju, South Korea.
23	Bhutta M. R., Hong K. S., Naseer N., & Khan M. J . (2014,September). Hemodynamic signals based lie detection using a new wireless NIRS system. Paper presented at the meeting of 13th he Society of Instrument and Control Engineers (SICE2014)(pp. 979-984). Sapporo, Japan.
24	Bhutta M.R., Hong, M. J., Kim, Y.H. &Hong, K. S . (2015). Single-trial lie detection using a combined fNIRS-polygraph system. Frontiers in Psychology, 6, 709.
25	Blandón-Gitlin I., Fenn E., Masip J., & Yoo A. H . (2014). Cognitive-load approaches to detect deception: Searching for cognitive mechanisms. Trends in Cognitive Sciences, 18(9), 441-444.
26	Boas D.A., Elwell, C. E., Ferrari M.r, & Taga G. (2014). Twenty years of functional near-infrared spectroscopy: Introduction for the special issue. Neuroimage, 85, 1-5.
27	BondJr C.F., &DePaulo B.M . (2008). Individual differences in judging deception: Accuracy and bias. Psychological Bulletin, 134(4), 477-492.
28	Carrión R. E., Keenan J. P., & Sebanz N . (2010). A truth that’s told with bad intent: An ERP study of deception. Cognition, 114(1), 105-110.
29	Christ S. E., Van Essen D. C., Watson J. M., Brubaker L. E., & McDermott K. B . (2009). The contributions of prefrontal cortex and executive control to deception: Evidence from activation likelihood estimate meta- analyses. Cerebral Cortex, 19(7), 1557-1566.
30	DePaulo B. M., Kashy D. A., Kirkendol S. E., Wyer M. M., & Epstein J. A . (1996). Lying in everyday life. Journal of Personality and Social Psychology, 70(5), 979-995.
31	Ding X. P., Gao X., Fu G., & Lee K . (2013). Neural correlates of spontaneous deception: A functional near- infrared spectroscopy (fNIRS) study. Neuropsychologia, 51(4), 704-712.
32	Ding X. P., Sai L., Fu G., Liu J., & Lee K . (2014). Neural correlates of second-order verbal deception: A functional near-infrared spectroscopy (fNIRS) study. Neuroimage, 87, 505-514.
33	Ding X. P., Wu S. J., Liu J., Fu G., & Lee K . (2017). Functional neural networks of honesty and dishonesty in children: Evidence from graph theory analysis. Scientific Reports, 7(1), 12085.
34	Evans, A. D. & Lee K. (2013). Emergence of lying in very young children. Developmental Psychology, 49(10),1958-1963.
35	Farah M. J., Hutchinson J. B., Phelps E. A., & Wagner A. D . (2014). Functional MRI-based lie detection: Scientific and societal challenges. Nature Reviews Neuroscience, 15(2), 123-131.
36	Ferrari M., & Quaresima V. (2012). A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application. Neuroimage, 63(2), 921-935.
37	Greene, J.D. &Paxton, J. M . (2009). Patterns of neural activity associated with honest and dishonest moral decisions. Proceedings of the National Academy of Sciences, 106(30),12506-12511.
38	Hu, X. S., Hong, K. S., &Ge S.S . (2012). fNIRS-based online deception decoding. Journal of Neural Engineering, 9(2),026012.
39	Izzetoglu K., Yurtsever G., Bozkurt A., Yazici B., Bunce S., Pourrezaei K., & Onaral B . (2003,January). NIR spectroscopy measurements of cognitive load elicited by GKT and target categorization. Paper presented at the meeting of 36th Annual Hawaii International Conference on(pp. 2093-7121). Big Island, HI, USA.
40	Lee T. M., Liu H. L., Chan C. C. H., Ng Y. B., Fox P. T., & Gao J. H . (2005). Neural correlates of feigned memory impairment. Neuroimage, 28(2), 305-313.
41	Li, F., Zhu H.r, Gao, Q. Xur, G., Li, X. Hur, Z., & He S. (2015). Using functional near-infrared spectroscopy (fNIRS) to detect the prefrontal cortical responses to deception under different motivations. Biomedical Optics Express, 6(9),3503-3514.
42	Li F., Zhu H., Xu J., Gao Q., Guo H., Wu S., .. He S . (2018). Lie detection using fNIRS monitoring of inhibition-related brain regions discriminates infrequent but not frequent liars. Frontiers in Human Neuroscience, 12, 71.
43	Lin X., Sai L ., & Yuan, Z.
43	(in press). Detecting concealed information with fused electroencephalography and functional near-infrared spectroscopy. Neuroscience.
44	Lisofsky N., Kazzer P., Heekeren H. R., & Prehn K . (2014). Investigating socio-cognitive processes in deception: A quantitative meta-analysis of neuroimaging studies. Neuropsychologia, 61, 113-122.
45	Noguchi Y., & Oizumi R. (2018). Electric stimulation of the right temporo-parietal junction induces a task-specific effect in deceptive behaviors. Neuroscience Research, 128, 33-39.
46	Mameli F., Scarpazza C., Tomasini E., Ferrucci R., Ruggiero F., Sartori G., & Priori A . (2017). The guilty brain: The utility of neuroimaging and neurostimulation studies in forensic field. Reviews in the Neurosciences, 28(2), 161-172.
47	Maréchal M. A., Cohn A., Ugazio G., & Ruff C. C . (2017). Increasing honesty in humans with noninvasive brain stimulation. Proceedings of the National Academy of Sciences, 114(17), 4360-4364.
48	Masip J., Garrido E., & Herrero C . (2004). Defining deception. Anales de Psicología / Annals of Psychology, 20(1), 147-172.
49	Moriguchi Y., & Hiraki K. (2013). Prefrontal cortex and executive function in young children: A review of NIRS studies. Frontiers in Human Neuroscience, 7, 867.
50	Nghia H.L., Khoa, T. Q. D., Tan, T. X., Thien, D. D., Trinh, N. N.P. & VanToi , V. (2013). Investigating physiology of untruth in cerebral cortex by functional near-infrared spectroscopy (fNIRS). Paper presented at the meeting of 4th International Conference on Biomedical Engineering in Vietnam(pp. 1-3). Berlin, Heidelberg.
51	Niioka K., Uga M., Nagata T., Tokuda T., Dan I ., & Ochi, K.
51	(in press). Cerebral hemodynamic response during concealment of information about a mock crime: Application of a general linear model with an adaptive hemodynamic response function.Japanese Psychological Research.
52	Pornpattananangkul N., Zhen S., & Yu R . (2018). Common and distinct neural correlates of self-serving and prosocial dishonesty. Human Brain Mapping. 39(7), 3086-3103.
53	Sai L. ., Zhou, X., Ding, X. P., Fu G.r, & Sang B. (2014). Detecting concealed information using functional near- infrared spectroscopy. Brain Topography, 27(5),652-662.
54	Scholkmann F. ., Holper, L., Wolf, U., & Wolf M. (2013). A new methodical approach in neuroscience: Assessing inter-personal brain coupling using functional near- infrared imaging (fNIRI) hyperscanning. Frontiers in Human Neuroscience, 7, 813.
55	Scholkmann F. ., Kleiser, S., Metz, A. J., Zimmermann R.r, Pavia, J. M., Wolf, U., & Wolf, M . (2014). A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology. Neuroimage, 85, 6-27.
56	Sip K. E., Lynge M., Wallentin M., McGregor W. B., Frith C. D., & Roepstorff A . (2010). The production and detection of deception in an interactive game. Neuropsychologia, 48(12), 3619-3626.
57	Sip K.E., Roepstorff A.r, McGregor, W., &Frith C.D, . (2008). Detecting deception: The scope and limits. Trends in Cognitive Sciences, 12(2) 48-53.
58	Spence S. A., Hunter M. D., Farrow T. F., Green R. D., Leung D. H., Hughes C. J., & Ganesan V . (2004). A cognitive neurobiological account of deception: Evidence from functional neuroimaging. Philosophical Transactions of the Royal Society B: Biological Sciences, 359(1451), 1755.
59	Tang H., Mai X., Wang S., Zhu C., Krueger F., & Liu C . (2015). Interpersonal brain synchronization in the right temporo-parietal junction during face-to-face economic exchange. Social Cognitive and Affective Neuroscience, 11(1), 23-32.
60	Tian F., Dobbs R., Carmen A. D., Kozel F. A., & Liu H . (2008,March). Can functional near-infrared spectroscopic (fNIRS) imaging detect deception?.. Paper presented at the meeting of Optical Society of America. St. Petersburg, Florida United, States.
61	Tian F., Sharma V., Kozel F. A., & Liu H . (2009). Functional near-infrared spectroscopy to investigate hemodynamic responses to deception in the prefrontal cortex. Brain Research, 1303, 120-130.
62	Trinh N. N. P., Khoa T. Q. D., & Van Toi V . (2013, May). Investigating the deceptive task in dorsolateral prefrontal cortex by functional near-infrared spectroscopy (fNIRS). Paper presented at the meeting of the 29th Southern Biomedical Engineering Conference (SBEC)(pp. 95-96) . Miami, FL, USA.
63	Vega R., Hernandez-Reynoso A. G., Linn E. K., Fuentes-Aguilar R. Q., Sanchez-Ante G., Santos-Garcia A., & Garcia-Gonzalez A . (2016). Hemodynamic pattern recognition during deception process using functional near-infrared spectroscopy. Journal of Medical and Biological Engineering, 36(1), 22-31.
64	Volz K. G., Vogeley K., Tittgemeyer M., von Cramon D. Y., & Sutter M . (2015). The neural basis of deception in strategic interactions. Frontiers in Behavioral Neuroscience, 9, 27.
65	Weisel O., & Shalvi S. (2015). The collaborative roots of corruption. Proceedings of the National Academy of Sciences, 112(34), 10651-10656.
66	Yin L., Reuter M., & Weber B . (2016). Let the man choose what to do: Neural correlates of spontaneous lying and truth-telling. Brain and Cognition, 102, 13-25.
67	Zhang J., Lin X., Fu G., Sai L., Chen H., Yang J., .. Yuan Z . (2016). Mapping the small-world properties of brain networks in deception with functional near-infrared spectroscopy. Scientific Reports, 6, 25297.
68	Zhang M., Liu T., Pelowski M., & Yu D . (2017). Gender difference in spontaneous deception: A hyperscanning study using functional near-infrared spectroscopy. Scientific Reports, 7(1), 7508.

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[5]	王雅;吴瑞林;周荣刚. 从个体心理到人际互动 —— 航天任务中的心理学问题[J]. 心理科学进展, 2014, 22(8): 1338-1349.
[6]	崔茜;蒋军;杨文静;张庆林. 欺骗的神经机制和测谎应用：来自fMRI研究的证据[J]. 心理科学进展, 2013, 21(9): 1629-1642.
[7]	夏福斌;路平. 工作场所的社会损害：一个整合性的研究框架[J]. 心理科学进展, 2013, 21(10): 1814-1823.
[8]	陈斌斌;李丹. 班级生态系统对儿童亲社会行为影响的研究述评[J]. 心理科学进展, 2008, 16(05): 733-739.
[9]	傅根跃,陈昌凯. 传统测谎技术研究现状与趋势[J]. 心理科学进展, 2003, 11(01): 108-115.