会议预告 | EEG decoding, Aug 5th, 7:00PM

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Online Symposium

Using SSVEP to Explore Dynamic Facial Expressions

Presenter: Dr. Meng-Yun Wang

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 dynamicor 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 to 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.

Bio

Dr. Meng-Yun WANG obtained his PhD from the Faculty of Health Sciences, University of Macau in 2019. Right now, he is a post-doctoral researcher at Faculty of Psychology, University of Bergen, Norway. His research interests lie in precision human brain mapping, emotion and brain simulation.

Personal web

https://sites.google.com/view/meng-yun-wang

Pre-reading

Wang, M. Y., & Yuan, Z. (2021). EEG Decoding of Dynamic Facial Expressions of Emotion: Evidence from SSVEP and Causal Cortical Network Dynamics. Neuroscience, 459, 50-58.

Moderator: Mr. Fei Gao

(PhD candidate, CCBS/FAH, UM)

Time: 7:00 PM, Aug 5th

Zoom ID: 959 6270 3011

Passcode: ccbs

Acknowledgements

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