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EEG Decoding of Dynamic Facial Expressions of Emotion: Evidence from SSVEP and Causal Cortical Network Dynamics
Wang,Meng Yun1,2; Yuan,Zhen1,2
2021-04-01
Source PublicationNeuroscience
ISSN0306-4522
Volume459Pages:50-58
Abstract

The neural cognitive mechanism in processing static facial expressions (FEs) has been well documented, whereas the one underlying perceiving dynamic faces remains unclear. In this study, Fourier transformation and time–frequency analysis of Electroencephalography (EEG) data were carried out to detect the brain activation underlying dynamic or static FEs while twenty-one participants were viewing dynamic or static faces flicking at 10 Hz. In particular, steady-state visual evoked potentials (SSVEPs) were quantified through spectral power analysis of EEG recordings. Besides, Granger causality (GC) analysis (GCA) was also performed to capture the causal cortical network dynamics during dynamic or static FEs of emotion. It was discovered that the dynamic (from neural to happy (N2H) or vice versa (H2N)) FEs elicited larger SSVEPs than the static ones. Additionally, GCA demonstrated that the H2N case, in which happy FEs were being gradually changed into neutral ones, exhibited larger GC measure during the late processing stage than that from the early stage. Consequently, enhanced SSVEPs and effective brain connectivity for dynamic FEs illustrated that participants might need consume more attentional resources to process the dynamic faces, particularly for the change from happy to neutral faces. The new neural index might facilitate us to better understand the cognitive processing of dynamic and static FEs.

KeywordDynamic Facial Expression Granger Causality Ssvep
DOI10.1016/j.neuroscience.2021.01.040
URLView the original
Language英語English
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Document TypeJournal article
CollectionFaculty of Health Sciences
Corresponding AuthorYuan,Zhen
Affiliation1.Faculty of Health Sciences,University of Macau,Taipa,China
2.Centre for Cognitive and Brain Sciences,University of Macau,Taipa,China
First Author AffilicationFaculty of Health Sciences;  University of Macau
Corresponding Author AffilicationFaculty of Health Sciences;  University of Macau
Recommended Citation
GB/T 7714
Wang,Meng Yun,Yuan,Zhen. EEG Decoding of Dynamic Facial Expressions of Emotion: Evidence from SSVEP and Causal Cortical Network Dynamics[J]. Neuroscience,2021,459:50-58.
APA Wang,Meng Yun,&Yuan,Zhen.(2021).EEG Decoding of Dynamic Facial Expressions of Emotion: Evidence from SSVEP and Causal Cortical Network Dynamics.Neuroscience,459,50-58.
MLA Wang,Meng Yun,et al."EEG Decoding of Dynamic Facial Expressions of Emotion: Evidence from SSVEP and Causal Cortical Network Dynamics".Neuroscience 459(2021):50-58.
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