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Asymmetry of Brain Emotional State Based on EEG and VR Techniques |
Lan Wenwei1,2, Chen Chen1,2, Zhang Jin1,2, Zhang Jiaqi1,2, Li Feng1,2, Gao Junfeng1,2* |
1(School of Biomedical Engineering, South-Central University for Nationalities, Wuhan 430074, China) 2(Key Laboratory of Cognitive Science, State Ethnic Affairs Commission, Wuhan 430074, China) |
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Abstract In order to distinguish the emotional state of the brain and study the hemispheric asymmetry in different emotional states,20 healthy audiovisual barrier-freesubjects with an average age of 23.9 years were selected as experimental subjects, virtual reality technology and EEG technology were combined to collect EEG signals of subjects under different VR film stimulation, and then the average power spectral density of each frequency band was extracted for uses in the calculation of the index of cerebral hemisphere asymmetry on each frequency band and each brain region. Results show that the asymmetry index of positive emotion and negative emotion in frontal region hemisphere were smaller than that of neutral emotion, whereas in alpha band, the trend of asymmetry index on positive (0.130±0.227), neutral (0.058±0.240) and negative (0.006±0.130) decreased in sequence, indicating that the left frontal region was more active under positive emotion, and there was significant difference between positive emotion and negative emotion group (P < 0.05). While in other bands, the asymmetry index of frontal hemisphere had less difference between the three states. These results provided a new way to distinguish different emotions, and also provided a new method for the judgment and treatment of brain function diseases and psychological diseases.
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Received: 30 July 2020
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[1] Schmidt LA, Trainor LJ. Frontal brain electrical activity (EEG) distinguishes valence and intensity of musical emotions [J]. Cognition & Emotion, 2001, 15(4): 487-500. [2] Sammler D, Grigutsch M, Fritz T, et al. Music and emotion: Electrophysiological correlates of the processing of pleasant and unpleasant music[J]. Psychophysiology, 2010, 44(2): 293-304. [3] Boytsova JA, Danko SG, Gratcheva LV, et al. Local EEG synchronization during internal and external induction of human emotions[J]. International Journal of Psychophysiology, 2012, 3: 408-408. [4] Canli T. Hemispheric asymmetry in theexperience of emotion: A perspective from functional imaging [J]. Neuroentist, 1999, 5(4): 201-207. [5] Zibman S, Daniel E, Alyagon U, et al. Interhemispheric cortico-cortical paired associative stimulation of the prefrontal cortex jointly modulates frontal asymmetry and emotional reactivity [J]. Brain Stimulation, 2019, 12(1): 139-147. [6] Crawford HJ, Clarke SW, Kitner-Triolo M. Self-generated happy and sad emotions in low and highly hypnotizable persons during waking and hypnosis: laterality and regional EEG activity differences [J]. International Journal of Psychophysiology, 1996, 24(3): 239-266. [7] Lu Yun, Wang Mingjiang, Wu Wanqing, et al. Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals[J]. Measurement, 2020,150:107003. [8] Liang Z, Oba S, Ishii S. An unsupervised EEG decoding system for human emotion recognition [J]. Neural Networks, 2019, 116: 257-268. [9] Yin Zhong, Zhang Jianhua. Subject-generic EEG feature selection for emotion classification via transfer recursive feature elimination[C]//2017 36th Chinese Control Conference. Dalian: IEEE, 2017: 11005-11010. [10] 彭丝雨, 周到, 张家琦,等. 基于互信息的脑网络及测谎研究[J]. 电子学报, 2019, 47(7): 1551-1556. [11] Yang Yuxuan, Gao Zhongke, Wang Xinmin, et al. A recurrence quantification analysis-based channel-frequency convolutional neural network for emotion recognition from EEG [J]. Chaos, 2018, 28(8): 085724. [12] Hinrikus H, Suhhova A, Bachmann M, et al. Electroencephalographic spectral asymmetry index for detection of depression [J]. Medical & Biological Engineering & Computing, 2009, 47(12): 1291-1299. [13] Parsons TD, Rizzo AA. Affective outcomes of virtual reality exposure therapy for anxiety and specific phobias: A meta-analysis[J]. Journal of Behavior Therapy & Experimental Psychiatry, 2008, 39(3): 250-261. [14] Bartolic EI, Basso MR, Schefft BK, et al. Effects of experimentally-induced emotional states on frontal lobe cognitive task performance[J]. Neuropsychologia, 1999, 37(6): 677-683. [15] Dixon ML, Thiruchselvam R, Todd R, et al. Emotion and the Prefrontal Cortex: An integrative review[J]. Psychological Bulletin, 2017, 143(10): 1033-1081. [16] Salzman CD, Fusi S. Emotion, cognition, and mental state representation in amygdala and prefrontal cortex [J]. Annual Review of Neuroence, 2010, 33(1): 173-202. [17] Davidson RJ. What does the prefrontal cortex “do” in affect: Perspectives on frontal EEG asymmetry research [J]. Biological Psychology, 2004, 67(1-2): 219-234. |
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