Emotional brain network decoded by biological spiking neural network

doi:10.3389/fnins.2023.1200701

	Emotional brain network decoded by biological spiking neural network
	Xu, Hubo 1,2,3; Cao, Kexin 1,2,3; Chen, Hongguang 4; Abudusalamu, Awuti 1,2,3; Wu, Wei5 ; Xue, Yanxue 1,2,6,7
发表期刊	FRONTIERS IN NEUROSCIENCE
	2023-07-11
卷号	17 页码:17
通讯作者	Wu, Wei(wei.wu@ia.ac.cn) ; Xue, Yanxue(yanxuexue@bjmu.edu.cn)
摘要	IntroductionEmotional disorders are essential manifestations of many neurological and psychiatric diseases. Nowadays, researchers try to explore bi-directional brain-computer interface techniques to help the patients. However, the related functional brain areas and biological markers are still unclear, and the dynamic connection mechanism is also unknown. MethodsTo find effective regions related to different emotion recognition and intervention, our research focuses on finding emotional EEG brain networks using spiking neural network algorithm with binary coding. We collected EEG data while human participants watched emotional videos (fear, sadness, happiness, and neutrality), and analyzed the dynamic connections between the electrodes and the biological rhythms of different emotions. ResultsThe analysis has shown that the local high-activation brain network of fear and sadness is mainly in the parietal lobe area. The local high-level brain network of happiness is in the prefrontal-temporal lobe-central area. Furthermore, the & alpha; frequency band could effectively represent negative emotions, while the & alpha; frequency band could be used as a biological marker of happiness. The decoding accuracy of the three emotions reached 86.36%, 95.18%, and 89.09%, respectively, fully reflecting the excellent emotional decoding performance of the spiking neural network with self- backpropagation. DiscussionThe introduction of the self-backpropagation mechanism effectively improves the performance of the spiking neural network model. Different emotions exhibit distinct EEG networks and neuro-oscillatory-based biological markers. These emotional brain networks and biological markers may provide important hints for brain-computer interface technique exploration to help related brain disease recovery.
关键词	emotion affective computing brain network neural oscillation neuroregulation self-backpropagation spiking neural network brain-computer interface
DOI	10.3389/fnins.2023.1200701
关键词[WOS]	EEG DATA ; RECOGNITION
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[-32161143022] ; National Natural Science Foundation of China[81871046] ; National Natural Science Foundation of China[2022ZD0214500] ; National Natural Science Foundation of China[Z221100007422052]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Neurosciences & Neurology
WOS类目	Neurosciences
WOS记录号	WOS:001032453400001
出版者	FRONTIERS MEDIA SA
引用统计
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/53787
专题	多模态人工智能系统全国重点实验室
通讯作者	Wu, Wei; Xue, Yanxue
作者单位	1.Peking Univ, Natl Inst Drug Dependence, Beijing, Peoples R China 2.Peking Univ, Beijing Key Lab Drug Dependence, Beijing, Peoples R China 3.Peking Univ, Sch Basic Med Sci, Dept Pharmacol, Beijing, Peoples R China 4.Peking Univ, Peking Univ Hosp 6, Inst Mental Hlth, Peking Univ Hosp 6,NHC Key Lab Mental Hlth, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing, Peoples R China 6.Chinese Inst Brain Res, Beijing, Peoples R China 7.Peking Univ, Key Lab Neurosci, Minist Educ, Natl Hlth Commiss, Beijing, Peoples R China
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Xu, Hubo,Cao, Kexin,Chen, Hongguang,et al. Emotional brain network decoded by biological spiking neural network[J]. FRONTIERS IN NEUROSCIENCE,2023,17:17.
APA	Xu, Hubo,Cao, Kexin,Chen, Hongguang,Abudusalamu, Awuti,Wu, Wei,&Xue, Yanxue.(2023).Emotional brain network decoded by biological spiking neural network.FRONTIERS IN NEUROSCIENCE,17,17.
MLA	Xu, Hubo,et al."Emotional brain network decoded by biological spiking neural network".FRONTIERS IN NEUROSCIENCE 17(2023):17.