基于相位延迟指数的脑功能网络及测谎研究

doi:10.3969/j.issn.0372-2112.2018.07.029

电子学报 ›› 2018, Vol. 46 ›› Issue (7): 1742-1747.DOI: 10.3969/j.issn.0372-2112.2018.07.029

基于相位延迟指数的脑功能网络及测谎研究

司慧芳¹, 谢天¹, 高军峰^1,2, 官金安¹, 向州州¹, 兰长有¹, 卿训华¹

1. 中南民族大学生物医学工程学院认知科学国家民委重点实验室, 湖北武汉 430074;
2. 电子科技大学生命科学与技术学院, 四川成都 610054

收稿日期:2017-03-29 修回日期:2017-09-18 出版日期:2018-07-25
- 通讯作者:
- 高军峰
- 作者简介:
- 司慧芳,女,1993年5月出生,安徽阜阳人,硕士研究生,研究方向为脑电信号处理与模式识别.E-mail:lemon7_up@163.com;谢天,男,1997年6月出生,湖北洪湖人,本科生,研究方向为脑电信号处理与模式识别.
- 基金资助:
- 国家自然科学基金 (No.81271659，No.61773408，No.91120017）; 2017中央高校基本科研业务费专项 (No.CZP17033）; 中国博士后科学基金 (No.2014M552346）

Research on Brain Functional Network and Lie Detection Based on Phase Lag Index

SI Hui-fang¹, XIE Tian¹, GAO Jun-feng^1,2, GUAN Jin-an¹, XIANG Zhou-zhou¹, LAN Chang-you¹, Qing Xun-hua¹

1. School of Biomedical Engineering, South-Central University for Nationalities & Key Laboratory of Cognitive Science, State Ethnic Affairs Commission, Wuhan, Hubei 430074, China;
2. School of Life Science and Technology, UESTC, Chengdu, Sichuan 610054, China

Received:2017-03-29 Revised:2017-09-18 Online:2018-07-25 Published:2018-07-25

摘要/Abstract

摘要： 在脑认知科学领域，越来越多的研究开始专注于利用不同导联脑电信号之间的相互依赖关系来研究大脑整体认知功能.相位延迟指数可有效减少由容积导体引起的误差，该方法已被广泛应用.而基于图论的脑网络研究方法在测谎方面还少见报道.本文通过对30名（诚实和说谎）受试者的脑电信号进行网络拓扑分析，将网络参数作为判别指标，使用支持向量机对实验数据进行分类.研究发现，两组受试者的小世界指标表现出显著的统计学差异，且得到较高的测谎准确率，结果证明了利用相位延迟指数方法进行图论分析的测谎有效性.

关键词: 相位延迟指数, 测谎, 脑电信号, 功能网络

Abstract: In the field of brain cognitive science,more researches begin to focus on the interdependence between different leads of EEG signals to study the overall cognitive function of the brain.The Phase Lag Index (PLI) can reduce the errors effectively caused by the volume conduction and has been widely adopted,however brain network research method based on graph theory was scarcely reported in lie detection field.In this study,the network topology of the EEG signals from 30 (innocent and guilty) subjects are analyzed.The network parameters are used as the discriminant indicators,and the experimental data are classified by using support vector machine.The study finds that the small world indexes have pretty significant statistical differences between two groups.Also,the classification system gets a higher lie-detection accuracy,which proves the validity of polygraph using PLI method and graph theory analysis.

Key words: PLI, lie detection, EEG signals, functional network

中图分类号:

R338

司慧芳, 谢天, 高军峰, 官金安, 向州州, 兰长有, 卿训华. 基于相位延迟指数的脑功能网络及测谎研究[J]. 电子学报, 2018, 46(7): 1742-1747.

SI Hui-fang, XIE Tian, GAO Jun-feng, GUAN Jin-an, XIANG Zhou-zhou, LAN Chang-you, Qing Xun-hua. Research on Brain Functional Network and Lie Detection Based on Phase Lag Index[J]. Acta Electronica Sinica, 2018, 46(7): 1742-1747.

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基于相位延迟指数的脑功能网络及测谎研究

Research on Brain Functional Network and Lie Detection Based on Phase Lag Index

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