| Emotion is a kind of subjective experience,closely related to people’s life,it affects people’s mental state and physiological state at the same time.The corresponding electrophysiological signals can be measured for emotional assessment.However,most of the previous studies only focus on one or two physiological signals to study emotions,ignoring that the human body is a unity,that is,there are complex dynamic interactions among various physiological systems.In addition,recent studies on brain networks mainly focus on highly interconnected subnetworks,such as default mode network and attention network.However,there are few researches on physiological network subnetwork.Therefore,we conduct a series of studies on extracting physiological subnetworks from emotional physiological networks,including the following aspects:1.This paper quantifies the interaction between different physiological systems using multiple transfer entropy.Using electrical signals such as EEG,electromyography,skin,respiration,blood volume,pulse,and body temperature,the physiological networks are constructed across 40 different emotions.Afterwards,we extract physiological subnetworks of Valence and Arousal in the emotional dimension through CP sparse non-negative tensor decomposition,and the networks positively correlated with valence(arousal)are defined as active network V(10)(A(10)),while the networks negatively correlated with valence(arousal)are defined as active network V-(A-).2.Based on different EEG frequency bands,five physiological subnetworks including the whole band and four sub-bands(θ,α,β,γ)are obtained.It is found that physiological subnetworks based on theta band EEG have more correlation with arousal,and the number of subnetworks is the largest.In addition,we also found that physiological subnetworks based on whole-band EEG and gamma band EEG have more correlations with valence.3.Finally,the relationship between these different physiological subnetworks is discussed from the point of view of node importance and network entropy.From the point of view of node importance,it is found that each physiological system plays different roles when experiencing different emotions.Through the analysis of Kendall rank sum test,it is found that the difference between physiological subnetwork A(10)and A-is small,while the difference between physiological sub-networks V(10)and V-is large,this suggests that the mechanism of emotional valence is more complex than arousal.From the perspective of network entropy,it is found that the heterogeneous information between valence and arousal is much larger than the homogeneous information,it shows that there is an information interaction between valence and arousal,but they are really two different attributes under the emotional dimension.Between V(10)and V-,the unique information of V-is larger,which indicates that negative emotions have greater physiological activation in autonomic nervous response mode,namely"negative migration".Finally,it is found that the diversity of emotion is more related to the information transmission between center and center and between edge and center.In this paper,valence and arousal are studied from the perspective of physiological subnetwork for the first time.The results show that there are commonalities and characteristics between the valence and arousal subnetworks.This further confirms the conclusion of previous studies that there is an interaction between valence and arousal,as well as their respective physiological functions.In conclusion,this paper explores the mechanism of emotional valence and arousal from a new perspective,which is helpful to deepen the understanding of emotional mechanism and the development of related diseases. |