Research On Mutual Information Based-brain Network And Lie Detection

A reliable discrimination between deception and honesty is of great importance in certain fifields,such as juridical or safety-related contexts.Therefore it exists a huge body of research on the development of a lie detection method,which is able to fulfifill the requirements concerning accuracy and reliablilty.In the past few years,the Event-related Potentials(ERP)which can reflect the nature of cognitive processing for the lying and resist the intended countermeasures is selected as the tool of lie detection.Compared with conventional polygraphic lying test,the ERP lying test acquires higher accuracy and less countermeasures.In view of the difficulty in extracting features of EEG signals in the current lie detection method and the circumstance that the analysis of the overall cognitive function of the brain were increasingly important in brain cognitive science research.Based on my published paper,this paper uses Mutual Information(MI)to build a functional network of brain regions and connect frequency bands to functional connectivity to explore the mysteries of the cognitive processing mechanism of human lies.In addition,according to the author’s research,there are few research reports at home and abroad that link frequency bands and functional connectivity to explore the cognitive processing mechanism of human lies.Therefore,this study provides a new way to explore the cognitive processing mechanism of human lies.In the first two chapters,this paper introduces the research background,significance and status of the lie testing technology,and details functions and regions of brain,EEG rhythm,MI,Support Vector Machine and principles of brain network.Based on the above theory,this paper completes the research work as follows:1.EEG source location of this study was divided into two steps.The first step is to determine the regions of interest(ROIs)The first step is to determine the regions of interest(ROIs)to obtain the final ROIs : BA10 L,BA13L,BA24 R,BA32R,BA45R;the second step is source location,that is,the scalp electrode signals passes the standardized low resolution Standardized Low Resolution Brain Electromagnetic Tomography(sLORETA)software was converted into signals of the regions of interest.In this study,the data-driven method was used to determine ROIs.Compared with the previous method of selecting ROIs based on historical experience,the data-driven method is more objective.2.In this study,the activation frequency bands of each ROIs were determined according to the event-related Spectral Perturbation(ERSP)spectrum of each ROIs were theta and alpha.3.In the study of the functional connection of the lie detection network,this paper applied the mutual information analysis method to calculate the correlation between the ROIs under theta and alpha rhythms.The mutual information analysis is a method based oninformation theory to describe the information interaction between two signals.This paper applied the mutual information analysis method to the field of EEG lie detection and quantified the correlation between the brain nodes and perform statistical analysis on the calculation results under theta and alpha rhythms.The mutual information of the ROIs with significant differences in the two groups were selected as the classification features,on which the pattern recognition was performed,and the obtained accuracy rates are 77.38%(theta)and 82.62%(alpha),respectively.This result proves that the mutual information analysis is an effective brain functional connection analysis method.In addition,in discussing the correlation between frequency bands and functional connections,it is concluded that "theta,alpha rhythm plays different roles in the cognitive processing of lies,theta rhythm is mainly responsible for episodic memory,and alpha rhythm is mainly contributed to working memory".And it is found that the mutual information connection value is greater than the honest state in the lying state under theta and alpha rhythm.It has different functional connections,and the process of lying is completed through the role of different functional connections,thereby exploring the processing mechanism of the human brain’s lies.